Gpt Models Api Pricing Jobs in Usa

The Integration Architect defines, designs, and governs enterprise integration architecture standards across AWS, Azure, Microsoft Fabric, and on-prem systems. This consultant creates scalable integration blueprints, reusable patterns, and secure connectivity frameworks that ensure interoperability, reliability, and domain-aligned data exchange. The role partners closely with domain teams, platform engineering, API management teams, and enterprise architecture to accelerate delivery while maintaining architectural integrity.

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• Define and maintain enterprise standards for API design, event schemas, messaging patterns, and integration of contracts.
  
• Establish integration governance across AWS, Azure, MS Fabric, and on-prem systems.
  
• Define patterns for ADS (Authorized Data Sources) alignment, data contracts, schema evolution, and anchor key management.
  
• Enforce adherence to enterprise security principles, including OAuth2/OIDC, JWT, TLS, Zero Trust patterns.
  

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• Build and maintain unified enterprise integration architecture blueprints spanning cloud, Fabric, and on prem connectivity.
  
• Create domain specific and cross domain integration flow maps, canonical API patterns, and event driven reference architectures.
  
• Align AWS, Azure, MS Fabric, and on-prem patterns under Unified Architecture.
  

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• Develop reusable integration patterns for:
  
  
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  • AWS: API Gateway, Event Bridge, SNS/SQS, Lambda, Step Functions, Glue, EMR, Redshift, Lake Formation, Kinesis, AWS Batch, AWS ECR, AWS ECS Fargate.
    
  • Azure: APIM, Functions, Service Bus, Azure Data Factory (all IR types), Azure Synapse Pipelines, Azure Stream Analytics, Azure Batch, Azure Data Explorer ingestion.
    
  • MS Fabric: Data Factory pipelines, Lakehouse ingestion interfaces, Fabric Data Pipelines, Notebook-based ETL, Warehouse ingestion.
    
  • On prem: MFT, MQ, legacy services.
    
  
  
  
• Provide templates for API contracts, event schemas, integration error handling, observability hooks, and resiliency patterns.
  

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• Define integration patterns incorporating ADS rules, domain ownership, and anchor key management for interoperability.
  
• Ensure all integration patterns embed security, observability, lineage awareness, and operational resiliency.
  
• Collaborate with data governance to ensure consistent entity resolution and cross?domain identifier mapping.
  

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• Guide domain teams in implementing target state integration architectures.
  
• Lead or participate in architecture reviews for API designs, event models, platform integrations, and connectivity.
  
• Recommend modernization opportunities to retire from legacy integration mechanisms and adopt event-driven/API?first models.
  

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• 8-12+ years in integration architecture, API engineering, event-driven design, or hybrid integration.
  
• Strong hands-on expertise across:
  
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  • AWS: API Gateway, Event Bridge, SNS/SQS, Lambda, Step Functions, Glue, EMR, Redshift, Lake Formation, Kinesis, AWS Batch, AWS ECR, AWS ECS Fargate.
    
  • Azure: APIM, Functions, Service Bus, Azure Data Factory (all IR types), Azure Synapse Pipelines, Azure Stream Analytics, Azure Batch, Azure Data Explorer ingestion.
    
  • MS Fabric: Data Factory pipelines, Lakehouse ingestion interfaces, Fabric Data Pipelines, Notebook-based ETL, Warehouse ingestion.
    
  • RDBMS: SQL, Oracle, DB2, RDS, etc.
    
  • On prem: MQ, MFT, REST/SOAP services.
    
  
  
  
• Understanding of ADS, anchor key management, data/domain contracts, lineage aware integration.
  
• Experience designing event driven, API first, batch, and hybrid integration architectures.
  

We are looking for a highly motivated AI Engineer to join our IT team. This role is ideal for someone passionate about building real-world AI solutions and eager to work across the full AI technology stack—from model integration and retrieval pipelines to agentic AI workflows, multi-agent orchestration, and application-level features used by business teams. You will also contribute to data engineering efforts that feed AI capabilities, working alongside a modern analytics platform built on Microsoft Fabric.

As an AI Engineer, you will help design, develop, and deploy AI capabilities. You will contribute to production-grade AI features in areas such as Open-to-Buy planning, Sales Forecasting, Intelligent Order Management Systems (OMS), Product Copy Generation, and Image Generation.

This is a unique opportunity to work on meaningful, high-impact AI initiatives while implementing modern AI infrastructure, LLMOps practices, and scalable system design.

This role will work from our Greenwich, CT office and report to the Senior Director of System Integration & Operation on our current hybrid schedule, 3 days in office and 2 days remote.

Key Responsibilities:

AI Application Development

Build and maintain AI-powered features including:

• Open-to-Buy optimization and inventory planning models
• Sales forecasting and demand prediction solutions
• Intelligent OMS features for routing, allocation, and automation
• Marketing AI tools such as product copy generation and AI-assisted image generation

Integrate custom and foundation LLMs into internal applications using API and SDK interfaces, leveraging structured outputs, function/tool calling, and prompt caching to optimize reliability and cost.

RAG, GraphRAG, + Vector DB Engineering

• Develop retrieval pipelines using vector embeddings and similarity search (Azure AI Search, FAISS, Pinecone, or equivalent).
• Implement chunking, embedding, indexing, query routing, and relevance-tuning strategies, including advanced reranking and hybrid search techniques.
• Maintain a high-quality knowledge base to support AI features via Retrieval-Augmented Generation.
• Explore and implement GraphRAG patterns to improve knowledge retrieval over structured enterprise data and entity relationships.

AI Agents & Orchestration

• Design and build AI agents capable of planning, tool use, and multi-step reasoning using frameworks such as LangGraph, PydanticAI, CrewAI, or Google ADK.
• Implement Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol integrations to connect AI agents with internal tools, APIs, data systems, and other agents in a standardized, interoperable way.
• Build guardrails, evaluation frameworks, and human-in-the-loop checkpoints to ensure reliable and safe agent behavior in production.

AI Infrastructure & System Architecture

• Maintain private cloud LLM instance landscape, ensuring secure and efficient usage.
• Assist in deploying scalable inference pipelines, batching, and caching layers.
• Collaborate with DevOps and Data Engineering on CI/CD, model deployment workflows, monitoring, and integration with the Microsoft Fabric data platform (including Fabric MCP for agent-to-data connectivity).

Data Engineering, Pipelines & Model Training

• Clean, transform, and prepare datasets for ML/AI pipelines; contribute to data engineering workflows including ELT pipeline design, medallion architecture patterns, and data transformation within the Lakehouse layer.
• Train, validate, and fine-tune models where appropriate (LLMs, forecasting models, classification models, etc.); familiar with parameter-efficient techniques such as LoRA and QLoRA.
• Evaluate model performance and optimize latency, accuracy, and cost using LLM evaluation and observability frameworks (e.g., RAGAS, LangSmith, Langfuse, Helicone, or custom evals); manage prompt versioning and regression testing.

Required Qualifications:

• Bachelor’s degree in Computer Science, Data Science, AI/ML, Engineering, or related field.
• Strong foundations in Python, data structures, and machine learning concepts.
• Comfortable working with LLM APIs, embeddings, vector databases, and RAG patterns; exposure to agentic patterns, tool use, and GraphRAG concepts is a strong plus.
• Familiarity with cloud environments (Azure preferred; AWS or GCP also acceptable).
• Understanding of systems diagrams, architecture patterns, and AI infrastructure components.
• Exposure to SQL/NoSQL databases.
• Exposure to data engineering concepts such as ELT/ETL pipelines, data transformation, and data modeling.
• Awareness of responsible AI principles including bias detection, fairness, and model interpretability.
• Awareness of AI agent frameworks and orchestration concepts (e.g., LangGraph, PydanticAI, Semantic Kernel, CrewAI, or Google ADK).
• Familiarity with prompt engineering best practices including chain-of-thought, few-shot prompting, and structured output design.

Preferred Qualifications:

• Familiarity with Microsoft Fabric (OneLake, Lakehouse, Spark notebooks, semantic models) and Power BI; experience with Fabric MCP integrations is a strong differentiator.
• Experience implementing MCP (Model Context Protocol) servers or A2A (Agent-to-Agent) protocol endpoints, or integrating AI agents with external tools and APIs.
• Exposure to multimodal AI capabilities (vision-language models) for applications such as product image analysis or document understanding.
• Experience building small AI apps, demos, or tools—portfolio/GitHub encouraged.

What you'll Gain:

• Hands-on impact in designing enterprise AI capabilities from the ground up.
• Opportunities to work with cutting-edge LLM technologies in a private, secure environment, alongside a modern Microsoft Fabric data platform.
• A chance to shape AI products used across supply chain, marketing, and e-commerce.

Company Overview:

Established in 2005, Marc Fisher Footwear company is a leading full-service, product-driven fashion footwear company with knowledge and expertise in design, sales, sourcing, distribution and marketing – all with dedicated and strategic direction for each brand within the portfolio, which includes GUESS, G by Guess, Nine West, Tommy Hilfiger, Earth, Calvin Klein, Kenneth Cole Men's, Hunter Boots, Rockport, Bandolino, indigo rd., Unisa, and Easy Spirit along with the namesake brands – Marc Fisher and Marc Fisher LTD.

Our diverse portfolio of globally recognized brands – available domestically and internationally via wholesale and retail channels – consistently meets the widest range of consumers’ fashion footwear needs, from classic to contemporary, sport to dress, men’s to women’s. Headquartered in Greenwich, Connecticut, with showrooms in New York City, Marc Fisher Footwear is sold worldwide through department stores, specialty stores and e-commerce channels.

Marc Fisher Footwear is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with a disability. EEO Employer/Vet/Disabled.

Nephrology on the Gulf CoastLocation Gulfport5 miles to Biloxi20 miles to Gulfport-Biloxi International Airport (GPT)50 miles to Mobile90 miles to NOLA150 miles to the white sands of DestinLocation miles to Biloxi40 miles to Dauphin Island, Gulfport & Mobile40 miles to Gulfport-Biloxi International Airport (GPT)110 miles to NOLALocation metroGulfport-Biloxi metro is home to 500,000 residents and Keesler Air Force Base20 miles to Gulfport-Biloxi International Airport (GPT)60 miles to Mobile90 miles to NOLA2 hours to Gulf ShoresJoin a large private Nephrology group of 20+ Nephrologists, 4 Vascular Surgeons and multiple APPs as they grow and expand into Mississippi with 3 offices.Group is adding 2 Nephrologists to start Summer of 2026.Coverage 1:3 then 1:5Flexible work environmentFull-time optionNon-partnership optionHospitalist style optionJoint Venture optionDirectorshipsPartnership TrackNurse Practitioner supportOpenings for general, transplant or interventional trained NephrologistsRecent graduates and young experienced nephrologists welcome.Fellowship StipendBenefits:Competitive salary7k relocationSign on negotiableComprehensive benefits401KCMEPTOMPReference: 109874J1 & H1B visa candidates are encouraged to apply.

Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. Family-owned and led since 2004, Loloi is growing more quickly than ever. To date, we’ve expanded our diverse team to hundreds of employees, invested in multiple distribution facilities, introduced thousands of products, and earned the respect and business of retailers and designers worldwide. A testament to our products and our team, Loloi has earned the ARTS Award for “Best Rug Manufacturer” in 2010, 2011, 2015, 2016, 2018, 2023, and 2025.

Security Advisory: Beware of Frauds

Protect yourself from potential fraud and verify the authenticity of any job offer you receive from Loloi. Rest assured that we never request payment or demand any sensitive personal information, such as bank details or social security numbers, at any stage of the recruiting process. To ensure genuine communication, our recruiters will solely reach out to applicants using an @ email address. Your security is of paramount importance to us at Loloi, and we are committed to maintaining a safe and trustworthy hiring experience for all candidates.

We are building a Business Operations Center of Excellence, and we need a Product Data Analyst to serve as the "Guardian of the Golden Record." In this role, you are the absolute owner of product data integrity as it relates to the digital customer experience. You ensure that every item we sell is accurately represented across every touchpoint—from our ERP and PIM to our website storefront and marketing feeds. This is not a data entry role; it is a high-impact technical logic and investigation role. You will work directly with our Data Platform and Software Engineering teams to define business rules, audit data health via complex SQL, and troubleshoot data transmission errors before they impact the customer.

Responsibilities

• Storefront Governance: Serve as the absolute owner of product data integrity within the PIM. Ensure that all storefront-critical attributes (pricing, dimensions, weights, image links) are accurate and standardized for a seamless customer experience.
• Technical Data Auditing: Write and run complex SQL queries against our centralized database to identify anomalies, "orphan" records, and data hygiene issues that need resolution. You will be expected to query across multiple schemas to validate data consistency between systems.
• Feed Logic & Mapping: You will manage the logic of how data translates from our PIM to external endpoints. You will ensure that our products appear correctly on Google Shopping, Meta, Amazon, and other marketplaces by managing feed rules and mapping definitions.
• API Payload Analysis: You will act as the first line of defense for data transmission errors. If a product isn't showing up on the site, you will review the JSON/XML response bodies to determine if it is a data payload error or a software code bug.
• Cross-Functional Impact Analysis: You will act as the gatekeeper for data changes, predicting downstream impacts (e.g., "If Merchandising changes this Category Name, it will break the Finance reporting filter").
• Hygiene Logic Definition: You will partner with our IT/Database team to define automated health checks. You identify the "rot" (bad data patterns), and they implement the database constraints to stop it.

What You Will NOT Do (The Boundaries)

• No Web Development: You are not a Front-End Developer. You do not write HTML, CSS, or React code. You ensure the data powering those components is 100% accurate.
• No Manual Data Entry: Your job is not to copy-paste descriptions. You build the systems, bulk processes, and logic that ensure data quality at scale.
• No Database Administration: You do not manage server uptime or schema changes (IT owns this). You own the quality of the records inside the database.

Intersection with Technical Teams

• With IT (Database Mgmt): IT owns the infrastructure and schema; you own the quality of the data within it. When you identify a systemic issue (e.g., "5,000 orphan records"), you partner with IT to implement the technical fix (scripts/constraints).
• With Software Engineering (Commerce): If a product is missing from the site, you check the data payload. If the data is correct, you hand off to Engineering, confirming it is a code/caching bug rather than a data error.

Experience, Skills, & Ability Requirements

• 5-8 years of experience in Data Management, PIM Administration, or technical eCommerce Operations.
• SQL Proficiency: You are comfortable writing queries beyond simple SELECT *. You should be proficient with CTEs (Common Table Expressions), Window Functions (e.g., Rank, Lead/Lag), Subqueries, and complex Joins to act as a forensic data investigator.
• API Fluency: You can read and understand JSON and XML. You know what a valid payload looks like and can spot formatting errors or missing keys.
• Data Manipulation: You are an expert at handling large datasets (CSVs, Excel) and understand data types, formatting standards, and normalization concepts.
• You love hunting down the root cause of an error. You don't just fix the wrong price; you find out why the price was wrong and build a rule to stop it from happening again.
• You have high standards for accuracy. You understand that a wrong weight in the system means a financial loss on shipping for the business.

Bonus Points (Nice-to-Haves)

• Familiarity with Visio/Lucidchart to visualize data flows.
• Ability to build simple dashboards in Tableau to track data health scores.
• Basic familiarity with Python or R for data manipulation.

What We Offer

• Health, dental, and vision benefits
• Paid parental leave
• 401(k) with employer match
• A culture of meritocracy that fosters ongoing growth opportunities
• A stable, growing family-owned company that looks after its employees

Loloi Rugs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.

**Candidate must be willing to go into office 3 days a week**

Senior Full-Stack AI & Data Engineer – Contract

RBA is an established leader and trusted partner for enterprise and mid-size organizations seeking to transform their business through technology solutions. As a Digital and Technology consultancy, we combine strategic insight with technical expertise to deliver impactful, scalable solutions that align with business goals. We take pride in working with some of the most recognized companies in our market—while fostering a culture that blends challenging career opportunities with a collaborative, fun work environment.

We are seeking a Senior Full-Stack AI & Data Engineer to join our growing Data & AI practice, supporting a high-impact client. In this role, you will lead the design and development of end-to-end AI-powered applications that drive personalization, predictive analytics, and next-generation digital experiences.

You’ll partner with business stakeholders, product teams, and engineers to build production-grade AI solutions—from data pipelines and model development to APIs and user-facing applications. The ideal candidate brings deep expertise across the full stack, modern data platforms, and generative AI technologies, with a passion for solving complex business challenges through innovative solutions.

Responsibilities

• Design and develop end-to-end AI-powered applications, including backend APIs and user-facing interfaces, to enable scalable and intuitive AI solutions.
• Build and maintain robust APIs using technologies such as Node.js, NestJS, or FastAPI, and develop modern web applications using React or similar frameworks.
• Develop, fine-tune, and deploy machine learning models using frameworks such as PyTorch and Scikit-learn.
• Implement advanced generative AI solutions, including Retrieval-Augmented Generation (RAG) pipelines and multi-modal AI applications.
• Design and build agentic AI systems using frameworks such as LangChain, enabling multi-step reasoning, tool use, and automation.
• Architect and optimize end-to-end data pipelines (ETL/ELT) using Python, SQL, and orchestration tools such as Airflow.
• Manage and integrate data workflows within Snowflake, leveraging technologies such as Snowpark or Cortex.
• Implement monitoring and observability for AI systems, including tracking model performance, drift, latency, and reliability.
• Design and deploy cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines across AWS, Azure, or GCP.
• Collaborate with business stakeholders to translate data into actionable insights and intelligent applications.
• Contribute to DevOps best practices, including infrastructure-as-code (Terraform) and automated testing.
• Mentor junior engineers and promote best practices in AI ethics, data governance, and code quality.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience across full-stack development, including backend (Node.js/Python) and frontend frameworks (React or similar).
• Strong experience designing and building data pipelines and modern data platforms, including expertise in SQL and data modeling.
• Proven experience deploying AI/ML solutions in production environments, including MLOps and model lifecycle management.
• Hands-on experience with generative AI technologies, including LLMs, prompt engineering, and RAG architectures.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of DevOps practices, including CI/CD, containerization, and infrastructure-as-code (Terraform).
• Excellent communication skills and ability to work effectively in client-facing environments.

Preferred Qualifications

• Experience with Snowflake, including Snowpark, Cortex, or similar data platform capabilities.
• Experience building agent-based AI systems or working with frameworks such as LangChain.
• Familiarity with vector databases and semantic search architectures.
• Experience developing mobile applications using React Native or Flutter.
• Knowledge of mobile architecture, UI/UX principles, and API integration patterns.
• Experience deploying applications to Apple App Store or Google Play Store.
• Familiarity with security and authentication protocols, including OAuth2, biometric authentication, and secure data handling.
• Cloud or data platform certifications (AWS, Azure, GCP, Snowflake, or similar).

Leadership & Culture

• Demonstrate leadership through mentorship, technical guidance, and promoting engineering best practices.
• Balance innovation with pragmatism—able to work across cutting-edge AI solutions and foundational data engineering tasks.
• Thrive in a collaborative, fast-paced consulting environment with a strong focus on client impact and delivery excellence.

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

As a Staff Software Engineer, you are a senior individual contributor who leads the design and delivery of significant platform features and raises the bar for engineering quality across the team. You'll work handson in code-designing APIs and data flows, building services in Python/FastAPI and React frontends, and guiding solutions from idea to production. You'll mentor engineers, influence architecture and standards within and adjacent to your team, and partner closely with product and design to achieve clear, measurable outcomes. This role blends deep implementation work with pragmatic technical leadership by example.

Essential Duties and Responsibilities

• Lead technical design for platform features and services, breaking ambiguous requirements into clear, incremental designs and stories for your team and adjacent partners.

• Implement backend services in Python/FastAPI and React frontends end-to-end, owning a continuous stream of stories from idea to production.

• Define and use clear API contracts and data flows between services and UIs, creating patterns and templates others can follow.

• Champion high-quality engineering practices, including code reviews, documentation, and maintainable, testable designs.

• Develop and improve automated testing (unit, integration, endtoend) and integrate these into everyday development and CI.

• Improve CI/CD pipelines and release workflows for your team so the team can ship small, safe changes frequently and confidently.

• Own the operational lifecycle of the features and services you build, including monitoring, observability, on-call participation, and incident follow-up.

• Design and implement secure-by-default solutions, including robust authentication/authorization, input validation, and safe handling of sensitive data.

• Identify and address reliability and performance risks early, proposing concrete technical improvements and sequencing them into the roadmap.

• Mentor and unblock engineers through pairing, design discussions, and clear feedback; influence without formal authority.

• Partners with product/design to shape requirements into incremental deliverables; escalates tradeoff decisions; proposes sequencing that optimizes value/risk.

The time spent on each responsibility reflects an estimate and is subject to change dependent on business needs.

Supervisory Responsibilities

No

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field; equivalent work experience is acceptable.

• 7+ years of experience in software engineering.

• Strong proficiency with Python and modern web backends (FastAPI, Flask, Django, or similar) and solid understanding of HTTP, API design, and data modeling.

• Significant experience with React (or a comparable SPA framework) and building production frontends that talk to backend APIs.

• Demonstrated ability to own features end-to-end in a small team: from shaping requirements through design, implementation, testing, deployment, and support.

• Experience designing and working with distributed systems or multi-service architectures (e.g., service boundaries, async jobs, integration patterns).

• Solid understanding of observability and operations for production systems (metrics, logs, traces, dashboards, alerting, incident response).

• Strong understanding of security fundamentals (authentication, authorization, secure data handling) and how they apply to web services and UIs.

• Deep familiarity with automated testing and CI/CD, and a track record of improving engineering workflows and quality.

• Excellent communication and collaboration skills; comfortable working closely with product, design, and other stakeholders.

• Proven ability to provide technical leadership in a hands-on way: unblocking others, making clear decisions, and raising the bar through code and reviews.

Bonus Qualifications

• Experience in early-stage or small platform teams where engineers wear multiple hats and balance shipping with building foundations.

• Experience with Azure and containerized deployments (or similar cloud-native environments).

• Experience building platforms (developer platforms, data platforms, or similar) that serve multiple product teams.

• Exposure to AI/ML or data-intensive applications (e.g., integrating with model inference APIs, data pipelines, or analytical data stores).

The base salary range for this position is$180,000 - $200,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

#LI-SS2 #LI-Remote

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

tvScientific is looking for aSenior QA Engineer for its Web Platformwith strong expertise inweb and API testing. This role requires a balance ofmanual testing excellenceandautomation skills, with a focus on validating end-to-end user flows across frontend, backend services, and APIs.

You will partner closely with frontend engineers, backend engineers, product managers, and designers to ensure our web platform and APIs are reliable, secure, and performant.

What you'll do:

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• Own and drivequalityfor web platform features, spanning UI, APIs, and backend services
  
• Design and executemanual test casesandexploratory testingfor complex web and API workflows
  
• Conduct thorough regression testing when bugs are resolved.
  
• Build and maintainautomated test suitesfor:
  
• Validatefrontend-backend integration, data consistency, and error handling
  
• PerformAPI contract testing, schema validation, and negative/edge-case testing
  
• Collaborate with engineers duringdesign, implementation, and code reviewsto improve testability and catch issues early
  
• Integrate automated tests intoCI/CD pipelinesto provide fast, reliable feedback
  
• Analyze test failures, investigate root causes, and drive issues to resolution
  
• Advocate for quality best practices, includingshift-left testing, risk-based testing, and automation strategy
  
• Identify, document, and track software defects using bug tracking tools like Jira.
  
  

What we're looking for:

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• Experience in QA / Quality Engineering, with a strong focus onweb platforms and APIs
  
• Proven hands-on experience withmanual testingof complex, consumer-facing web applications
  
• Strong experience building and maintainingAPI testsusing tools such as Postman, REST-assured, Supertest, or similar
  
• Hands-on experience withweb automation frameworks(Playwright, Cypress)
  
• Solid understanding ofHTTP, REST and API design principles
  
• Proficiency in at least one programming or scripting language (JavaScript, TypeScript)
  
• Experience working inAgile/Scrumenvironments
  
• Strong debugging, analytical, and communication skills
  
• Strategic partnership with stakeholders /Cross-functional collaboration that is high-trust and high-velocity
  
• Nice-to-Haves:
  
  • 
    
  • Experience testinglarge-scale, high-traffic web platforms
    
  • Familiarity withReact or modern frontend frameworks
    
  • Experience withperformance, load, or reliability testingfor APIs and web applications
    
  • Exposure to feature flags, experimentation platforms, or observability tools
    
  
  
  

In-Office Requirement Statement:

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• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

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• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

20% travel

Prebid's

Walkthroughs

The Mechanical Estimating Manager is responsible for leading and overseeing all mechanical estimating activities for facility-based projects, including piping, mechanical, welding, equipment setting, and associated systems. This role ensures estimates are accurate, competitive, complete, and aligned with company standards, execution strategies, and market conditions.

The Mechanical Estimating Manager provides technical leadership, mentorship, and quality control across the estimating team while supporting bid strategy, risk evaluation, and executive decision-making. This position bridges estimating, operations, project controls, supply chain, and business development to ensure estimates support profitable, buildable work and successful project execution.

Primary Job Function:

· Lead and manage mechanical estimating efforts for facility projects across all bid phases.

· Oversee the development of accurate, complete mechanical estimates derived from drawings, specifications, and bid documents.

· Assign estimating responsibilities and manage workload distribution across the estimating team.

· Review and approve detailed takeoffs for piping, welding, equipment, valves, structural components, and mechanical systems.

· Ensure labor build-ups are developed using appropriate production rates, crew compositions, historical data, and execution strategies.

· Provide technical oversight to validate constructability, installation methods, and labor assumptions.

· Direct coordination with Supply Chain to solicit, evaluate, and normalize vendor and subcontractor pricing.

· Establish and enforce estimating standards, methodologies, and documentation requirements.

· Lead identification and documentation of risks, assumptions, exclusions, and clarifications.

· Support bid strategy development, value engineering, and alternative construction approaches.

· Participate in pre-bid meetings, job walks, and internal estimate reviews.

· Ensure estimate summaries, cost breakdowns, and pricing packages are accurate and executive ready.

· Support conceptual, budgetary, FEL, and detailed estimates as required.

· Ensure complete estimate logic, quantities, assumptions, and risks are communicated during project handoff.

· Provide Project Controls with validated cost data for job setup, WBS alignment, and cost tracking.

· Manage multiple bids simultaneously and provide status updates to leadership.

· Maintain organized, auditable estimate files and supporting documentation.

· Perform takeoffs and data entry task as required to support workload.

Leadership & Management Responsibilities:

· Mentor, coach, and develop senior, junior, and entry-level mechanical estimators.

· Establish performance expectations, accountability, and continuous improvement within the estimating team.

· Participate in hiring, onboarding, training, and performance evaluations of estimating personnel.

· Serve as the primary technical authority for mechanical estimating questions and issue resolution.

· Promote consistency, accuracy, and professionalism across all mechanical estimates.

· Lead post-bid and post-job reviews to capture lessons learned and improve estimating accuracy.

Required Technical Skills:

· Advanced proficiency in mechanical estimating for piping, welding, equipment installation, and structural components.

· Strong understanding of piping materials, pressure classes, fittings, fabrication, and erection practices.

· Expert-level ability to develop and review detailed labor estimates using crew-based production rates.

· Advanced interpretation of P&IDs, isometrics, mechanical drawings, and scope documents.

· Experience overseeing unit-rate, resource-based, and detailed line-item estimates.

· Proficiency in estimating software (InEight, Navisworks, Bluebeam, or similar).

· Advanced Excel capability (complex formulas, lookups, pivots, cost models).

· Strong knowledge of mechanical construction means and methods, including rigging, hydro-testing, and commissioning.

· Familiarity with ASME, API, and applicable mechanical construction standards.

· Ability to identify constructability risks, productivity impacts, and schedule influences.

· Understanding of indirect costs, equipment rates, consumables, labor burdens, and allowances.

· Experience developing conceptual and budgetary estimates with limited information.

· Knowledge of WBS structures, cost codes, and estimating alignment with project controls.

· Ability to support schedule logic, durations, and manpower planning.

Nice to Have:

· JD Edwards experience (cost codes).

· Power BI for estimating KPIs.

· Familiarity with construction scheduling software (Primavera P6 or MS Project).

· Ability to participate in client technical reviews.

· Experience developing manpower loading curves or sequencing plans.

· Field Experience (mechanical/piping/welding experience).

· Experience in Oil, Gas & Midstream industrial estimating and project management.

Experience:

· 8+ years of mechanical estimating experience in the Oil & Gas or Midstream industry.

· Demonstrated experience estimating facility, terminal, and industrial projects.

· Prior experience leading or mentoring estimators preferred.

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Education / Training:

· Bachelor’s degree in construction management, Engineering, or related field preferred.

· Equivalent field experience or 8–12 years of industry experience accepted.

· Professional certifications (AACEI CEP, PMP, ASPE) preferred.

Competencies:

· Leadership: Builds strong estimating teams and drives accountability.

· Technical Authority: Deep mechanical estimating expertise.

· Collaboration: Effective coordination with Operations, BD, Project Controls, and Supply Chain.

· Communication: Clearly communicates cost drivers, risks, and strategy to leadership.

· Judgment: Balances competitiveness with execution risk and margin protection.

Physical Demands:

· Regularly required to sit, talk, and hear.

· Frequently required to reach with hands and arms.

· Occasionally required to stand, walk, stoop, kneel, or crawl.

· Occasionally lift up to 10 lbs.

· Requires standard vision abilities for detailed work.

Other Criteria:

· Occasional travel required.

· Compliance with all company policies, including Drug & Alcohol policy.

· Ability to work safely and collaboratively.

· Must be authorized to work in the United States.

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.

The Senior Java Developer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

Responsibilities:

• Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
• Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
• Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
• Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
• Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
• Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 10 -13 years of relevant experience in Apps Development or systems analysis role
• Extensive experience system analysis and in programming of software applications
• Experience in managing and implementing successful projects
• Subject Matter Expert (SME) in at least one area of Applications Development
• Ability to adjust priorities quickly as circumstances dictate
• Demonstrated leadership and project management skills
• Consistently demonstrates clear and concise written and verbal communication

Backend Development (Required):

• Strong hands-on core Java, functional programming, and Spring Boot microservices development experience.
• Understanding of concurrent and parallel programming, including threads, processes, synchronization, and handling race conditions.
• Knowledge of reactive programming for building asynchronous, event/message-driven systems in microservices based applications that are highly concurrent.
• Proficient in containerizing applications, continuous integration, and continuous delivery in Java ecosystem.
• Knowledge of distributed tracing and API Gateway integration for microservices architecture.
• Proficient in functional programming concepts with Streams API, Lambda Expressions and Optional.
• Understanding of secure coding practices, SSL/TLS, OAuth, and JWT token handling in Java-based applications.
• Expertise in integrating Java with NoSQL databases such as MongoDB for scalable, high availability applications.
• Strong experience in data modeling and experience with relational and no-SQL database, Oracle and MongoDB.
• Understanding of integrating APIs with third party libraries/vendors and handle the security around it.
• Understanding of the principles of distributed systems, including data partitioning, replication, and consistency models.
• Strong grasp of data structures and algorithms, especially those relevant to distributed systems like distributed hash tables and load balancing techniques.
• Understanding of microservices architecture, including service discovery, API gateways, and inter-service communication.

Other areas (Required):

• Exceptional Problem-Solving and Analytical Skills to diagnose and resolve issues in distributed environments.
• Above average skills in monitoring, logging, and debugging distributed systems to ensure reliability and performance.
• Expertise in fundamental concepts such as consistency, availability, partition tolerance, fault tolerance, and scalability.
• Familiarity with container orchestration (e.g., Kubernetes), and distributed messaging systems (e.g., Kafka).
• Experience using Git/BitBucket.
• Good communication skills, both written and verbal.

Other areas (Good to have):

• Unix shell scripting.
• Knowledge of ElasticSearch, and GraphQL.
• Experience with building apps which are highly performant and scalable will be great.
• Knowledge of Generating Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs).

Education:

• Bachelor's degree/University degree or equivalent experience
• Master's degree preferred