Gpt Models Api Jobs in Usa

Position: Principal AI Engineer

Location: San Francisco CA Hybrid

Contract

Job Summary:

• We are seeking a senior level AI/ML engineering contractor to temporarily step into a technical leadership and team lead role supporting personalization models and the company’s AI platform.
• The ideal candidate can balance technical expertise, strategic decision making, and day to day team guidance to ensure continuity during the leave period.

Required Skills & Experience:

• Senior level 12 years of experience building and operating machine learning systems in production.
• Strong understanding of ranking models, recommendation systems, model evaluation, and experiment design.
• Hands on expertise with modern AI/ML engineering tools (e.g., Python, Spark or similar, cloud-based ML pipelines, cloud model serving frameworks, and API design).
• Ability to lead engineering discussions, guide team members, and provide clear direction.
• Strong organizational skills: able to manage complex projects and maintain structure during a temporary leadership period.
• Excellent communication skills, with the ability to translate technical details into clear action for partners and stakeholders.

• FT/PT
• Hours: 4.5 day work week
• Employed
• New Graduates
• Average Patients seen: 18-25
• Call Schedule: Phone Only Call
• Loan Repayment
• Sign-On Bonus: $25000
• Compensation: - $225,000 base salary plus RVU- $500,000 earning potential
• Benefits: - $10,000 Relocation Allowance- $4,500 CME- 403b & 4570 Tax Deferred - Employer-paid malpractice with tail, health, vision, and short-term disability- GPT: 23 Days
• Additional Info: - This is your chance to join a fantastic company committed to professional leadership for its employees and top-notch medical care. - EMR: MEDITECH Expanse

Location: Dearborn, MI (Remote)

Employment Type: Full-Time Contract

Pay: $83-87 per hour

Description: We are seeking a Product Manager to lead the vision, strategy, and execution of a next-generation Data Attribution & Intent Platform that powers multiple virtual agents across chat, SMS, and voice channels. This platform will orchestrate customer intent detection, manage guardrails to prevent hallucinations, ensure compliant responses, and generate actionable performance insights through leading and lagging indicators. You will own the product lifecycle—from discovery to delivery—ensuring our AI-driven experiences are reliable, measurable, and continuously improving. This role sits at the intersection of AI safety, customer experience, analytics, and automation. You will shape how intelligent systems responsibly interact with customers at scale—ensuring trust, measurable outcomes, and continuous optimization.

Responsibilities:

• Define and execute the roadmap for an enterprise-grade Intent & Attribution Platform supporting multi-channel (chat, SMS, voice) virtual agents
• Establish a scalable architecture that integrates with conversational AI systems, CRM platforms, knowledge bases, analytics tools, and contact center systems.
• Lead the development of intent classification frameworks across customer touchpoints
• Define response validation pipelines that include: Knowledge grounding and citation requirements. Policy enforcement checks. Confidence scoring and escalation thresholds
• Design and implement attribution models that measure- Leading indicators: intent recognition accuracy, containment prediction, response confidence, latency, user sentiment; Lagging indicators: deflection rate, call reduction, resolution rate, CSAT, repeat contact rate
• Define automated and human-in-the-loop quality scoring models
• Collaborate with Engineering, Data Science, UX, Compliance, Contact Center Operations, and Customer Success

Requirements:

• Bachelor's Degree
• 10+ years of Product Management experience (AI/ML, conversational AI, or analytics platforms preferred)
• Agile Software Development
• Artificial Intelligence & Expert Systems
• Business Strategy

Preferred:

• Strong understanding of: Intent modeling & NLP systems LLM guardrails and hallucination mitigation techniques Attribution modeling & performance analytics
• Conversational platforms (chat, SMS, voice IVR)
• Experience with enterprise SaaS platforms and API-driven architectures
• Proven ability to define metrics frameworks and performance dashboards
• Strong analytical mindset and ability to work with data scientists and engineers

We’re hiring a B2B SaaS Account Executive to drive growth for our AI-powered solutions used by growing and enterprise businesses.

As an Account Executive at Commercient, you’ll own the full sales cycle for our AI automation and chatbot solutions, from prospecting and demos to closing complex B2B SaaS deals. You’ll work directly with customers to understand real business problems and translate cutting-edge AI—LLMs, intelligent automation, and ERP–CRM integrations—into practical, high-impact outcomes. This is a SaaS sales role for someone excited to sell sophisticated AI technology, engage senior stakeholders, and help shape the next generation of AI-driven sales motions.

At Commercient, you’ll own the full sales cycle, working directly with decision-makers to understand business challenges and position high-impact solutions that combine ERP, CRM, and AI capabilities.

Location: Atlanta (Hybrid)/US (remote)

What You’ll Do

As our Sales Representative, you’ll be on the front lines driving our growth:

• Prospect, pitch, and close deals for our AI technology solution such as our chatbot
• Build and nurture strong client relationships with Salesforce, HubSpot, Zoho, etc.
• Represent Commercient at meetings, demos, and events across the US
• Gather insights from the market to help shape our product and sales strategy
• Hit and exceed sales targets while growing your career in a fast-moving company
• Travel to several conferences per year in the US

Who You Are

• Sales hunter with a passion for building relationships and closing deals
• Energetic, ambitious, and motivated by results
• AI enthusiast who likes to learn about AI and stays current with the trends
• Comfortable meeting clients and thriving in a dynamic, less-structured environment
• Bachelor’s degree or equivalent experience in Sales, Business Development, or related fields (optional if you have killer sales results!)
• 3-7 years of experience in SaaS or AI solution sales (ERP, CRM, or automation experience strongly preferred)
• Familiarity with Salesforce, HubSpot, or ERP ecosystems
• Understanding of AI chatbots, RAG systems, or natural language interfaces (bonus if you can explain GPT, embeddings, or vector databases in plain English)
• Consultative, high-EQ selling style with technical curiosity
• Comfortable engaging at C-level and VP-level
• Self-starter with strong pipeline discipline and storytelling ability
• Excited about shaping a next-generation AI sales motion
• Experience with any Chatbot or LLM tech stack: Google Gemini, Google AI Studio, Open AI, Liveperson, Drift chat, Microsoft Copilot, Agents, Agentforce, HubSpot AI, Support desk or Helpdesk AI assistants, Slack AI assistants, etc.
• Comfortable working independently in a remote team environment
• Applicants must have near-native English proficiency. A short written and verbal English evaluation will be part of the selection process.

Not for you if: you dislike rejection or ambitious goals.

Why Join Us?

• Be a key player in our expansion — your impact is direct and visible
• Work closely with founders and an international team
• Learn and grow in a tech-driven, fast-moving environment
• We have an engaging, collaborative culture focused on succeeding together

Compensation & Perks

• Competitive base starting at $55k (based on experience) + commission — uncapped, performance-driven commissions per annual On Target Earnings (OTE)
• Our compensation plan creates a space for you to be in control of what you make. The base is a great start, but uncapped commission is accessible your entire career with us (your base and commission will increase as you grow with the company).
• Comprehensive Benefits Package
• 401k program with generous company match
• PTO
• Hybrid role based in Atlanta, GA with fully remote option for US-based candidates

About Commercient

Commercient helps growing companies streamline Sales, Marketing, and Customer Service by seamlessly connecting ERP and CRM systems through our AI-driven integration platform. Over 50,000 users rely on Commercient SYNC daily to automate key business processes—sales, billing, invoicing, and payments—across top CRMs like Salesforce, HubSpot, and Microsoft Dynamics. We’re an innovative, global SaaS company with 20+ years of experience and customers in 1,000+ organizations worldwide.

Why Work With Us

• Work remotely with a diverse, supportive, and fun global team
• Be part of an innovative company that embraces cutting-edge technology
• Enjoy learning and development opportunities to grow your career
• Flexible work-life balance and an environment where ideas thrive

Ready to join an innovative team building the world’s leading ERP–CRM integration platform? Apply today and grow your career with Commercient.

Freelance Sales Director Global Technology Staffing & Remote Workforce

Location: Dallas, Texas, United States

Experience: 8+ Years

People Prime is a global talent solutions company specializing in helping organizations build high-performing technology teams through Remote hiring, Staff augmentation, and Offshore delivery models.

Headquartered in India, People Prime connects companies worldwide with highly skilled technology professionals across emerging and advanced digital domains. We enable organizations to scale faster by providing access to a curated network of experienced engineers, AI specialists, data professionals, and technology consultants who can work remotely or as part of distributed global teams.

People Prime focuses on enabling companies to hire high-quality remote technology talent from India, one of the world’s largest and fastest-growing technology talent markets. Through our strong recruitment ecosystem and technical screening process, we provide organizations with access to professionals across a wide range of digital and enterprise technologies.

1. Artificial Intelligence & Machine Learning: Machine Learning Engineers: Generative AI Engineers: Prompt Engineers: Natural Language Processing (NLP) Specialists: Computer Vision Engineers: AI Model Training & Fine-Tuning Experts
2. Data Engineering & Analytics: Data Engineers, Data Architects: Data Scientists: Big Data Specialists, Data Platform Engineers: Analytics & BI Professionals
3. Cloud & DevOps: Cloud Architects (AWS, Azure, GCP): DevOps Engineers: Platform Engineers, Kubernetes Specialists: Infrastructure Automation Experts
4. Software Engineering: Full Stack Developers: Backend Engineers: Frontend Engineers: Mobile Application Developers: Microservices & API Developers
5. Enterprise Platforms: SAP Consultants: Salesforce Experts: ServiceNow Professionals: ERP & Digital Transformation Specialists

Key Responsibilities:

• Identify and acquire new clients seeking technology staffing or remote engineering teams

• Generate opportunities for contract staffing, staff augmentation, and distributed engineering teams

• Develop relationships with technology companies, startups, and enterprise clients

• Present People Prime’s global talent and offshore delivery capabilities

• Build and manage a strong pipeline of staffing opportunities

• Collaborate with delivery and recruitment teams in India to fulfill client requirements

• Negotiate client contracts, rate cards, and service agreements

• Track hiring trends in AI, data engineering, cloud, and software development

Required Qualifications:

• 8+ years’ experience in IT staffing business development or recruitment sales

• Proven track record of generating staffing opportunities and closing new clients

• Strong network within technology companies, startups, or enterprise organizations

• Experience selling staff augmentation or contract staffing services

• Excellent communication, negotiation, and relationship management skills

Preferred Experience:

• Experience selling offshore technology talent or remote engineering teams

• Exposure to hiring in AI, data engineering, cloud, or software development domains

• Understanding of distributed workforce and remote hiring models

Success Metrics:

Success in this role will be measured by:

• New client acquisitions

• Remote staffing requirements generated

• Revenue from staffing engagements

• Successful onboarding of consultants

• Client retention and satisfaction

Performance expectation:

Minimum 5 Contract placements per month

Compensation:

USD 1500 Payable on Every AI/ Technology Contractor Successful onboarding ( Minimum 5 Onboards Expected Every Month )

6% of gross margin for the first 6 months of each engagement

Why Join People Prime:

• Sell high-demand global technology talent solutions

• Work with a scalable offshore delivery model with great cost advantage to clients

• High earning potential with strong commission structure

• Exposure to fast-growing sectors such as AI, cloud, and data engineering

• Opportunity to build long-term partnerships with global technology companies.

Key Responsibilities:

• Design and deploy observability frameworks leveraging tools such as Grafana, Dynatrace, Prometheus, ELK, Splunk, etc. Define best practices for monitoring, alerting, and visualization across hybrid and multi-cloud environments.
• Develop strategies for monitoring KPIs tied to business outcomes (e.g., sales performance, supply chain efficiency, customer experience).
• Collaborate with business and IT teams to identify key metrics and integrate them into dashboards and alerting systems.
• Implement AIOps solutions using industry-leading platforms like OpenAI, AWS Bedrock, Google Gemini, Anthropic, and similar technologies.
• Develop predictive analytics and anomaly detection models to proactively identify and resolve operational issues.
• Integrate observability tools with ITSM platforms and automation workflows. Enable automated root cause analysis and remediation using AI/ML models.
• Provide observability strategies for infrastructure (servers, storage, cloud), applications (microservices, APIs), and networks (LAN/WAN, SD-WAN). Collaborate with DevOps, SRE, and IT operations teams to ensure end-to-end visibility and reliability.
• Establish observability standards, KPIs, and SLAs for performance and availability. Ensure compliance with security and regulatory requirements in monitoring solutions.
• Develop scalable architecture using LLMs, agentic frameworks, and multi-modal AI technologies.
• Build AI-powered analytics platforms for IT operations analysis, anomaly detection, and predictive insights.
• Architect and deploy intelligent chatbots for IT support and self-service capabilities.
• Integrate AI solutions with existing IT operations tools and workflows.
• Implement automated remediation and root cause analysis using AI/ML models.

Qualifications:

• 10-13 years of relevant experience
• Hands-on experience with Grafana, Dynatrace, and other monitoring platforms.
• Practical experience implementing AI-based solutions for anomaly detection, predictive maintenance, and automated remediation. Familiarity with OpenAI, Bedrock, Gemini, Anthropic, or similar AI platforms.
• Strong understanding of infrastructure, application architectures, and networking. Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes).
• Proficiency in Python, Bash, or similar scripting languages for automation and integration.
• Strong experience with LLMs (OpenAI, Anthropic, Gemini, Bedrock) and agentic AI solutions.
• Hands-on experience in designing AI architectures for enterprise IT environments.
• Proficiency in Python or similar languages for AI model integration and automation.

Role: Security Architect / AI Security AppSec Architect

Location: Boston, MA - Hybrid 3 days per week

Duration: Long term Contract

JOB PURPOSE:

We are seeking a Security Architect / AI Security AppSec Architect to assist in the strategic evaluation and secure implementation of our AI Agent Framework. As AI adoption accelerates across our investment and research teams, this role will be pivotal in ensuring our systems remain secure, resilient, and compliant. You will combine high-level architectural oversight—specifically evaluating new and emerging AI technologies—with hands-on engineering.

Reporting to the Director of Security in Global Security organization, you will research security controls, validate emerging architectural patterns, and define the governance standards for M365 Copilot Agents and autonomous agents built on Azure AI Foundry.

Primary Responsibilities:

Technology Evaluation & Security Architecture

• Emerging Tech Research: Proactively evaluate new AI tools, frameworks, and LLM providers to assess their security posture and suitability for a highly regulated investment environment.
• Architectural Design: Design and validate secure architectural patterns for AI agent integration within the organization’s ecosystem, ensuring data privacy and IP protection.
• Threat Modeling: Conduct deep-dive analysis of AI-specific threats (prompt injection, model inversion, data poisoning) and architect systemic mitigations.
• Platform Assessment: Evaluate the security capabilities of Azure AI Foundry, M365 Copilot Studio, and the Microsoft Graph API against the organization’s compliance standards.
• MCP Specialization: Assess Model Context Protocol (MCP) security best practices, designing isolation strategies for context management.
• As a security architect, assist with evaluations of other technologies being evaluated with via our Enterprise Architecture Review Board

Technical Implementation & Validation

• Hardening & Standards: Create hardening checklists and configuration standards for AI platforms that bridge the gap between innovation and rigorous risk management.
• Identity & Integration: Test and document sophisticated integration approaches with Azure Key Vault, Entra ID, and Managed Identities.
• Security Telemetry: Implement advanced logging, auditing, and monitoring for AI agent telemetry to ensure visibility into autonomous actions.
• Governance & Standards Development
• Design Principles: Lead the creation of the organization’s AI Agent Security Design Principles document.
• Policy Authoring: Working with various teams assist in developing technical sections of governance policies that address the risks of emerging AI technologies and autonomous workflows.
• CI/CD Integration: Identify and bridge control gaps in existing CI/CD pipelines to support secure, automated AI deployments.
• Stakeholder Collaboration: Translate complex security architectures into actionable implementation guides for developers and investment tech teams.

Required Qualifications:

• Architectural & Technical Skills
• 5+ years in Cloud Security/Architecture with deep hands-on Azure platform experience.
• AI Specialization: Hands-on experience with Azure AI Services, Azure OpenAI, and Azure AI Foundry (or similar platforms like AWS SageMaker).
• Modern Identity: Expert-level understanding of Microsoft Entra ID, Service Principals, and Managed Identity in a complex enterprise environment.
• Emerging Protocols: Deep familiarity with Model Context Protocol (MCP) and its implications for data isolation and session security.
• GenAI/LLM Expertise: Strong grasp of RAG (Retrieval-Augmented Generation) patterns and vector database security.
• Security Implementation & Strategy
• Zero Trust: Proven track record of implementing Zero Trust controls in financial services or cloud-native environments.
• Automation: Experience with Infrastructure as Code (Terraform, Bicep) to codify security guardrails.
• Threat Assessment: Familiarity with the OWASP Top 10 for LLMs and AI-specific vulnerability scanning.

Preferred Qualifications:

• Certifications: Azure Security Engineer Associate, Azure AI Engineer Associate, or CISSP/CCSP.

• 
  
• Design, develop, and maintain scalable data pipelines using Snowflake as the core data warehouse platform
  
• Build and optimize data ingestion processes for both batch file-based loads and real-time streaming data from various sources
  
• Implement data transformation logic using Snowflake SQL, stored procedures, and Python integration Collaborate with data architects and analysts to understand business requirements and translate them into technical solutions
  
• Monitor and troubleshoot data pipeline performance, ensuring high availability and data quality
  
• Develop and maintain documentation for data processes, data models, and system architecture
  
• Work closely with DevOps teams to implement CI/CD practices for data pipeline deployments
  

• 
  
• Bachelor's degree in Computer Science, Information Systems, or related technical field
  
• Minimum 4+ years of experience in data engineering or related roles
  
• Proven track record of delivering production-ready data solutions at scale
  
• Experience with version control systems (Git) and collaborative development practices
  

• 
  
• Snowflake certifications (SnowPro Core or Advanced certifications)
  
• Experience with Infrastructure as Code tools (Terraform, CloudFormation)
  
• Knowledge of containerization technologies (Docker, Kubernetes)
  
• Familiarity with data visualization tools and business intelligence platforms
  
• Experience with data quality frameworks and monitoring tools
  

Business Overview

KINESSO is the technology-driven performance marketing agency providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at Summary

We are seeking a Staff Software Engineer to spearhead the design and development of a next-generation AI Chat Application that will serve as an enterprise-wide assistant. This application will support a diverse range of organizational functions-including HR, Finance, Business Strategy, Ad Tech, and MarTech-empowering employees with intelligent, context-aware AI capabilities to streamline daily work.

As the Staff Software Engineer, you will guide the technical direction, mentor engineers, and partner with cross-functional teams to deliver a scalable, secure, and high-performing platform.

• 
  
• Lead Architecture & Development: Define and implement the architecture for an AI-driven chat platform leveraging Python, GCP, and AI services.
  
• Team Leadership: Mentor and guide a team of engineers, driving technical excellence, collaboration, and delivery.
  
• LLM Integration: Build and optimize solutions with LLM foundational models to support natural language understanding, contextual reasoning, and multi-domain workflows.
  
• Partner with Product Owners: Collaborate closely with product owners to assess technical feasibility, translate business needs into actionable engineering requirements, and ensure alignment with overall product strategy.
  
• Scalability & Reliability: Ensure the system is designed with enterprise-grade security, scalability, and compliance in mind.
  
• Innovation: Explore and adopt emerging practices in prompt engineering, multi-agent coordination (MCP/LLM agents), and applied AI to continuously evolve the platform.
  

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• 12+ years of software engineering experience building production-grade applications.
  
• 7+ years of experience with Java (Python experience strongly preferred).
  
• 3+ years of experience leading or managing engineering teams.
  
• Strong grasp of object-oriented programming, data structures, algorithms, and design patterns.
  
• Experience designing and building scalable APIs (REST, GraphQL, gRPC) and modular, extensible architectures.
  
• Hands-on experience with relational and NoSQL databases (e.g., MSSQL, PostgreSQL, DynamoDB).
  
• Familiarity with messaging and event-driven platforms like Kafka, Temporal for real-time systems.
  
• Strong expertise in GCP and integrating AI services with LLM foundational models.
  
• Experience with AI-powered developer tools (e.g., GitHub Copilot, Claude) to improve productivity and code quality.
  
• Strong troubleshooting, communication, and documentation skills, with a bias for secure, observable, and maintainable solutions.
  
• Comfortable working in Agile/Scrum environments with cross-functional teams.
  

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• Experience with context engineering and fine-tuning AI/LLM outputs.
  
• Familiarity with Model Context Protocol (MCP) for LLM agent orchestration.
  
• Knowledge of LLM agent frameworks for building multi-step, reasoning-driven AI systems.
  
• Experience in enterprise-grade security and compliance frameworks.
  

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.

It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with our company, please email .