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About Finta

Have you tried renewing a driver’s license online? The site looks stuck in 2000, it is confusing and slow. That is how most accounting and tax software still feels. The space is crowded with sales teams who rely on fear to close deals, and the result is bad experiences justified by “compliance.”

Finta is changing that. We automate bookkeeping, file taxes quickly and compliantly, and give companies real-time financial metrics. Our goal is simple: to remove the manual, tedious parts of finance so that smart people can focus on hard problems.

We raised $2M from Y Combinator, Mercury’s CEO, leaders at Mercury, Brex, and Ramp. Since launching in 2023, we have grown organically through word of mouth and now serve hundreds of paying customers. See what they say at ’re looking for a Founding Design Engineer to raise the bar on how Finta looks and feels. You’ll sit at the intersection of design and engineering, someone who obsesses over animation curves, spacing, and interaction details, and also ships production code.

You won’t be designing in Figma and handing off specs. You’ll be designing in the browser, building the components and systems that make Finta feel like the best software our customers have ever used.

This is a founding role. You’ll be one of the first people shaping how Finta feels, and you’ll have an outsized impact on the product, the brand, and the culture of craft at the company. Over time, you’ll have the opportunity to build and lead the design engineering function as we grow.

What you’ll do

• Build and evolve Finta’s design system: the components, tokens, patterns, and motion language that everything is built on
• Ship polished, production-ready UI across product, marketing, and our website
• Create reusable building blocks like data tables, filters, navigation, loading states, animations, and interactive patterns
• Bring modern interaction design to a Rails codebase with fluid transitions, micro-interactions, and the kind of craft you see in tools like Linear, Cursor, and Vercel
• Explore what’s possible at the edge of UI in the age of AI: streaming interfaces, agent status patterns, real-time feedback, and new interaction paradigms
• Work directly with the CEO and engineering team to shape what we build and how it feels
• Set the quality bar for every pixel that ships
• Influence product direction, not just execution. You’ll have a voice in what we build, not just how it looks.

You’ll be a good fit if you

• Have deep expertise in HTML, CSS, and JavaScript. You think in the browser, not in abstractions.
• Have production experience with server-rendered stacks: Rails, Hotwire, Turbo, Stimulus, Tailwind, ViewComponent, or similar
• Obsess over details like animation timing, easing curves, hover states, spacing, and color. The things most people don’t notice but everyone feels.
• Use AI tools daily to move faster (Cursor, Claude, Conductor, or similar) and can show real examples of shipping with them
• Have a strong visual eye and design sensibility, even if your title has always been “engineer”
• Can point to work you’ve shipped that made people say “damn, this feels good”
• Ship fast and iterate. You’d rather put something real in front of users than polish a mockup.
• Are excited about being early. You want to define the standard, not follow one.

Why join

• Design is at the heart of everything we do. This isn’t a company where engineering overrules design.
• You’ll define the design system and quality bar from the ground up
• Ship consequential work used by hundreds of startups
• Join a small, mission-driven team that values craft and user experience
• 10+ years of runway backed by top investors
• Real ownership and influence over product direction, architecture, and early hiring decisions

You should NOT join Finta if:

• You prefer designing in Figma and handing off to engineers
• You think animations and micro-interactions are unnecessary polish
• You think trying new tools like Paper is a waste of your time
• You prefer non-AI tools and stay away from MCPs
• You prefer heavy structure and narrow scope
• You’re not excited about AI or what it means for product interfaces
• You need step-by-step direction
• You’re looking for a remote job to coast

Tools and stack

• Ruby on Rails with server-rendered views
• Hotwire (Turbo + Stimulus) for interactivity
• Tailwind CSS and ViewComponent for the design system
• GitHub, Linear, Figma, Paper, Slack
• AI tools: Cursor, Claude, Conductor, and whatever you want to use

Our values

• Simplicity: Be concise, clear, and efficient
• Endurance: Act with integrity and think long term
• Decisive: Bias for action and learn quickly
• Passion: Bring dedication and energy to the work
• Open minded: Hold strong opinions and question them rigorously
• Selfless: Set egos aside and win as a team

Compensation

• $120-$180k plus 1-3% equity
• Visa sponsorship and relocation support available.
• Medical, dental, and vision insurance
• Meals, gym membership, professional education benefits
• Monthly team events and annual company offsite

IMPORTANT

In addition to applying, please email andy at finta dot com with your proudest designs.

Software/Automation & Integration Engineer | Full-Time & Intern | Elite Capital Group | Nashville, TN | On-Site Only

Elite Capital Group ( ) is a Nashville-based real estate development and capital infrastructure company. We build luxury residential and mixed-use properties across Tennessee and the Southeast, and we develop energy-powered land for data center operators. We run lean, move fast, and build systems that scale.

We're looking for a motivated Automation & Integration Engineer — full-time or intern — with a background in software engineering or coding. You'll build, deploy, and maintain bots and system integrations across our tech stack, working directly with leadership to streamline investor relations, deal management, and internal operations.

This is a high-impact, hands-on role. You won't be managing tickets — you'll be building real systems used by real people every day.

What You'll Build

▸ Automated bots hosted on Railway (Python / Node.js) — investor follow-up bots, newsletter bots, deal extractors, and alert systems ▸ API integrations across our core platforms — , Slack, Gmail, Google Drive, Dropbox, and custom webhooks ▸ OAuth flows, REST APIs, and event-driven triggers ▸ board automations, custom columns, and workflow logic ▸ Full-stack internal tools and dashboards for deal pipeline tracking and investor relations ▸ AI-assisted tools for market analysis and data infrastructure ▸ Audits and repairs of existing bots and integrations (crash loops, expired keys, NLP gaps)

What We're Looking For

Required: ▸ Proficiency in Python and/or Node.js ▸ Experience with REST APIs and webhook-based integrations ▸ Familiarity with bot deployment platforms (Railway, Heroku, Render, or similar) ▸ Strong foundation in computer science — algorithms, data structures, OOP ▸ Experience with back-end web development ▸ Strong debugging and problem-solving skills ▸ Ability to work independently in a fast-paced environment ▸ Pursuing or holding a degree in Computer Science, Software Engineering, or related field

Bonus Points: ▸ Experience with API or automation workflows ▸ Slack API / Block Kit experience ▸ Full-stack web development (React, Next.js, or similar) ▸ Familiarity with Claude AI, Claude Code, or MCP (Model Context Protocol) ▸ Git and version control experience ▸ Interest in real estate, energy infrastructure, or fintech

What You Get

▸ Real deliverables that ship into production — not practice projects ▸ Direct access to founders and decision-makers ▸ Exposure across real estate, data centers, and emerging tech ▸ Full-Time: Competitive salary based on experience ▸ Intern: Paid internship with potential for full-time conversion

How to Apply

Send your resume or LinkedIn, a brief description of something you've built (GitHub welcome) to the following email:

Job Description Summary

Entity

Worker Type

Worker Sub-Type​

Cost Center

Pay Rate Type

Pay Grade

Scheduled Weekly Hours

Work Shift

Job Description

The Certified Medical Assistant reports to the Outpatient Clinic Manager. Interviews patients, measures vital signs (i.e., pulse rate, temperature, blood pressure, weight, and height), and records or inputs information to patients' medical record. Prepares treatment rooms for examination of patients.

Basic computer skills required. Annual competencies are required to be maintained. Possess ability to understand and implement a variety of detailed instructions in the execution of therapeutic procedures and ability to make accurate physical observation of patients. Must communicate effectively both verbally and in writing. 

Minimum Education and Experience: 

High school diploma or equivalent. Completion of an accredited medical assisting program with one year of patient care experience preferred. 

Required Licensure, Certifications, Registrations: 

Must be certified through the American Medical Technologist (AMT) or American Association of Medical Assistants (AAMA) or National Health career Association (NHA) or MedCA as a Certified Clinical Medical Assistant (CCMA) or Certified Medical Assistant (CMA) or National Association for Health Professionals (NAHP).

Current Basic Life Support (BLS) required, either a certification from an American Heart Association (AHA) BLS for Healthcare Providers (or AHA recognized equivalent) or an American Red Cross CPR/AED for Professional Rescuer and Healthcare Provider.

Additional Job Description

Benefits:

• 
  
• Health, dental, vision, and life insurance
  
• Employer Sponsored Retirement Plan
  
• Paid time off and extended sick leave
  
• Paid Parental Leave
  
• Disability insurance plan options
  
• Continuous professional and clinical training
  
• Competitive pay
  
• Annual Merit Increase
  
• Wellbeing resources
  
• Tuition Reimbursement
  
• Employee perks and discounts
  
• Employee referral program
  
• Flexible schedule options
  
• Certification incentive program
  

Physical Requirements:

.

If you like working with energetic enthusiastic individuals, you will enjoy your career with us!

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.

Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here:

AI Data & Python Tools Engineer

We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems.

Responsibilities:

• Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks
• Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods
• Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions
• Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability
• Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle

Software Engineering & AI/ML Data, Tools Development

• 3+ years of Python Development with a background in back end services and data processing
• Exposure to AI/ML algorithms
• Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Understanding of LLMs, vector databases, and retrieval systems
• Experience with Model Context Protocol (MCP) integration and server development

Big Data & Cloud Infrastructure

• Knowledge of building and deploying cloud based applications
• Hands-on experience with cloud data platforms (AWS/GCP/Azure)
• Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms)
• Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes
• Knowledge of containerization (Docker/Kubernetes) and infrastructure as code

*Preferred Experience

• Experience building web applications with modern frameworks (React, Vue, or Angular)
• API development and integration experience
• Basic UX/UI design sensibilities for internal tooling
• Experience with real-time data processing and analytics
• Background in building developer tools or internal platforms
• Familiarity with AI/ML operations (MLOps) practices (Experience using airflow)
• Experience building MCP servers and integrating with AI assistants
• Knowledge of structured data exchange protocols and API design for AI systems.

Type: Full Time

Location: Austin, TX or Cupertino, CA (Monday- Friday onsite)

*Relocation assistance can be offered based on individual needs and circumstances*

Immediate need for a talented USA-Systems Engineer III (IT). This is a 08+ Months Contract opportunity with long-term potential and is located in Waltham, MA (Hybrid). Please review the job description below and contact me ASAP if you are interested.

Job ID:26-06360

Pay Range: $60 - $85/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

• Design, develop, deploy, and operate production‑grade AI/ML systems and data pipelines in an agile environment.
• Build, maintain, and optimize CI/CD pipelines using GitHub Actions to enable automated testing and deployment.
• Deploy and operate applications on Kubernetes using GitOps practices (e.g., ArgoCD).
• Develop user‑facing applications through APIs and/or graphical interfaces.
• Deploy predictive models into production environments with a strong focus on reliability, scalability, and observability.
• Build and optimize compute pipelines supporting data processing and model training.
• Collaborate closely with data scientists, computational biologists, and vaccine researchers to translate scientific needs into robust digital solutions.
• Actively participate in agile ceremonies and contribute to continuous improvement of team practices.
• Ensure high standards for code quality, documentation, and knowledge transfer.
• Communicate complex technical concepts clearly to both technical and non‑technical stakeholders.

Key Requirements and Technology Experience:

• Skills-Experience in agile environments, with proven experience deploying and operating applications in production, and Python programming skills
• Experience with GitHub Actions and CI/CD pipeline implementation, Kubernetes-based container orchestration, and GitOps practices (ArgoCD or equivalent). DevOps, automation
• Experience in Production deployment of machine‑learning models and MLOps practices, API and/or web application development, and familiarity with major cloud platforms (AWS, Azure, or GCP)
• Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or a related field. Advanced degrees are valued but not required.
• Minimum of 5 years of professional software engineering experience.
• Demonstrated delivery of production‑level systems with measurable impact.
• Strong experience working in agile environments with a customer‑oriented mindset.
• Proven experience deploying and operating applications in production.
• Technical Skills:
• GitHub Actions and CI/CD pipeline implementation.
• Kubernetes‑based container orchestration.
• Git Ops practices (Argo CD or equivalent).
• Strong Python programming skills.
• API and/or web application development.
• Production deployment of machine‑learning models and ML Ops practices.
• Familiarity with major cloud platforms (AWS, Azure, or GCP).
• English: fluent (mandatory). French: nice to have.
• Experience in pharmaceutical, biotechnology, or life‑sciences environments.
• Awareness of drug discovery, vaccine development, or experimental sciences.
• Experience with workflow orchestration tools such as Meta flow.
• Experience in mentoring or technical training.
• Contributions to open‑source or technical communities.
• Experience designing scalable data engineering solutions.
• Manager's Note:-Hybrid working model with a minimum of three days per week on site in Waltham, MA.
• Agile and fast-paced team environment focused on rapid iteration and delivery.
• Strong cross‑functional collaboration across Vaccines R&D, Digital, and CMC.
• Open to candidates willing to relocate at their own expense
• Free parking site
• Possibility of extension, with a gap in work at the end of year (Nov/ Dec) and restart work in January
• English: fluent (mandatory)
• Primary Manager sits in France, local team will be present in EU and US
• Team is building a system of predictive models
• Software Engineer, previous experience moving models in to prediction

Our client is a leading Healthcare Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Job Description Summary

Entity

Worker Type

Worker Sub-Type​

Cost Center

Pay Rate Type

Pay Grade

Scheduled Weekly Hours

Work Shift

Job Description

The Medical University of South Carolina Health (MUSC Health) is seeking a compassionate and motivated Advanced Practice Provider (APP) to join our Mobile Health Unit team in Orangeburg, SC. In this unique and rewarding role, you’ll deliver high-quality, patient-centered primary care directly to underserved and vulnerable populations, bringing healthcare where it’s needed most.

Why You’ll Love This Role:

• 
  

• Make an Impact: Provide essential primary care to patients who often face barriers to accessing medical services.

  
  

• Work with Purpose: Operate in a fully equipped mobile medical unit, traveling to communities across the region.

  
  

• Collaborate with Experts: Partner with a dedicated team that includes an LPN, LISW, and another APP, all focused on improving community health outcomes.

  
  

• Enjoy Autonomy: Practice independently in a dynamic, field-based environment while supported by MUSC Health’s statewide network.

  
  

• Great BENEFITS

  
  

• Sign-On Bonus for qualified candidates

  
  

Each day, you’ll bring compassionate care, connection, and hope to those who need it most. If you’re driven by purpose and thrive on making a difference beyond clinic walls, join MUSC Health and help us deliver care that moves.

Ready to make an impact? Apply today and help bring care where it’s needed most!

Fair Labor Standards Act Status: Salaried/Exempt
Hours per week: 40
Scheduled Work Hours/Shift: 3 to 12-hour shifts launching from Orangeburg hospital and then traveling to underserved area for the day.

Patient Population Focus: Outpatient/Underserved

Patient Population Age Range: 0 years-death (Family practice)

Required Training and Experience   

Required Minimum Training: Completion of an accredited Physician Assistant program and currently licensed or eligible for licensure as a Physician Assistant or completion of an accredited Nurse Practitioner Program and currently licensed or eligible for licensure as an APRN as noted below.

• Physician Assistant

or

• 
  
• APRN
  

• • FNP (Family NP): (birth to death) chronic disease state management, primary care across the lifespan.

  
  

Preferred Experience: Minimum of 3+ years of family medicine or urgent care experience as a PA or FNP. Previous community health/underserved setting experience strongly preferred. Bilingual experience a plus. Experience with simple procedures, health screenings, vaccines and preventative disease management.

Degree of Supervision: Advanced Practice Registered Nurse or Physician Assistant will be assigned a Primary Supervising/Collaborating Physician employed by MUSC and will report directly to this physician.

• Practice autonomously with telecommunication access to supervising physician

Required Licensure, Certifications, Registrations

All certifications must be current and complete prior to start date:

• 
  

• Active unrestricted state license/National board certification (AANP, ANCC, NCCPA)

  
  

• Basic Life Support (BLS)

  
  

• DHEC and DEA license applications must be started prior to the first day.

  
  

• Valid SC driver's license

  
  

Job Duties

Provides direct care to patients through the following activities:

• 
  

• Takes comprehensive history and performs physical examinations in mobile unit

  
  

• Evaluates and treats based on history, physical examination, radiology, laboratory, and other diagnostic test results pursuant to the practice agreement or scope of practice guideline

  
  

• Conduct health screenings, preventive care (e.g., immunizations, cancer screenings), and health education.

  
  

• Initiates referrals to other health care providers, and/or consults with the attending physician or the collaborating physician

  
  

• Documents and bills for direct care provided

  
  

• Utilizes current research and evidence-based decision-making in all clinical practice

  
  

• Performs and participates in quality/performance improvement activities and clinical research

  
  

• Participates in and supports accreditation, compliance, and regulatory activities of the organization

  
  

• Demonstrates responsibility for professional practice through active participation in professional organizations and continuing education

  
  

• Potential to precept students at MUSC enrolled as an advanced practice provider student; and facilitates the learning of other new team members

  
  

• APRN or PA must maintain licenses, certifications, CNEs/CMEs, etc. as required by applicable policies and state law

  
  

• Identify social determinants of health and help connect patients with appropriate community resources and support services.

  
  

​

Mobile Rural Health Clinic (RHC)

• 
  

• Will require travel and willingness to drive 26ft truck (no CDL required)

  
  

• Adhere to setup and breakdown procedures with pre and post travel checklist

  
  

• Collaborate with program staff to ensure efficient operations of the mobile clinic, including setup, supplies, and patient flow.

  
  

• Learn, understand and use unit driving, power and water systems, including Laveo Dry Flush System

  
  

Additional Job Description

Physical Requirements

Continuous requirements are to perform job functions while standing, walking and sitting. Ability to bend at the waist, kneel, climb stairs, reach in all directions, fully use both hands and legs, possess good finger dexterity, perform repetitive motions with hands/wrists/elbows and shoulders, reach in all directions. Ability to be qualified physically for respirator use, initially and as required. Maintain 20/40 vision corrected, see and recognize objects close at hand and at a distance, work in a latex safe environment and work indoors. Frequently lift, lower, push and pull and/or carry objects weighing 60 lbs (+/-) unassisted, exert up to 60 lbs of force, lift from 36" to overhead 25 lbs. Frequently work in dusty areas and confined/cramped spaces.

If you like working with energetic enthusiastic individuals, you will enjoy your career with us!

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.

Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here:

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

A little about us...

Role: AWS DevOps Engineer

Location: Charlotte, NC

Salary: Market Rate

Job Description:

We are seeking a highly skilled Senior DevOps Engineer with strong expertise in AWS cloud infrastructure automation databases and modern containerized environments The ideal candidate will have experience designing implementing and maintaining scalable secure and reliable systems while enabling fast and efficient development workflows You will work closely with development architecture and operations teams to build robust CICD pipelines automate infrastructure provisioning and ensure high availability of business critical applications

Key Responsibilities:

• Design implement and manage AWS cloud infrastructure EC2 S3 Lambda ECSEKS etc with scalability and security in mind
• Develop and maintain Infrastructure as Code IaC using Terraform
• Build manage and optimize Docker base images and containerized application stacks
• Orchestrate and maintain Kubernetes EKS clusters for production and staging environments
• Set up manage and optimize CICD pipelines in GitLab to support fast reliable deployments
• Manage MCP servers and ensure reliable operations for critical services
• Automate operational tasks and workflows using Python and JavaScript
• Support fullstack teams React Nodejs by providing containerized environments and deployment strategies
• Manage and optimize databases SQL PostgreSQL for performance security and scalability
• Integrate and manage AWS streaming services Kinesis MSK Kafka or similar for realtime data pipelines
• Implement container image security scanning governance and lifecycle management
• Monitor system performance availability and cost implementing proactive improvements
• Ensure compliance with security and governance standards across cloud infrastructure and database layers
• Collaborate with developers and architects to improve application delivery scalability and resilience

Required Skills Qualifications:

• 8 years of experience in DevOps Cloud Infrastructure
• Strong Handson experience with AWS services EC2 S3 ECSEKS Lambda VPC IAM CloudWatch Kinesis MSK
• Proficiency in Terraform for infrastructure automation
• Expertise with Docker including base image creation and Kubernetes orchestration
• Strong scripting programming skills in Python and JavaScript
• Experience with GitLab CICD for pipelines automation and environment management
• Strong database experience with SQL and PostgreSQL setup scaling replication performance tuning
• Exposure to streaming architectures AWS Kinesis Kafka MSK or similar
• Experience supporting React based applications from a DevOps perspective
• Familiarity with MCP servers and containerized service deployments
• Knowledge of cloud cost optimization and security best practices
• Strong problem-solving troubleshooting and communication skills
• Preferred Qualifications
• AWS certifications eg AWS Certified Solutions Architect DevOps Engineer Professional
• Experience with monitoring observability tools Prometheus Grafana ELK Datadog
• Knowledge of networking load balancing and distributed system design
• Familiarity with Agile Scrum methodologies

Skills

• Mandatory Skills : AWS Lambda, Docker, Python
• Good to Have Skills : Ansible, Git, Kubernetes

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Our client, a large, complex enterprise organization, is looking for a Principal AI Engineer to serve as the lead architect and hands-on builder of a unified AI Platform as a Service (PaaS) a secure, multi-tenant foundation that helps internal teams build and operate semantic discovery, conversational experiences, and autonomous agent workflows at scale.

Summary:

The Principal AI Engineer will design and build an enterprise-grade “AI operating layer” that turns modern foundation model capabilities into a governed, reusable platform used across multiple business domains. This role balances approximately 40% hands-on development with 60% platform strategy, personally building core orchestration services, standardized capability interfaces, and trust/safety guardrails. The platform will enable teams to deploy specialized agents that can collaborate via defined protocols, securely access grounded knowledge sources, and execute autonomous tasks within a controlled, high-availability runtime.

Location: Remote (U.S.) / Hybrid options may be available based on client needs.

Compensation Range: $145,000 - $250,000 per year plus RSUs & Bonus

Benefits: Very competitive benefits

Responsibilities

• Architect and deliver a self-service AI platform that provides reusable patterns, reference implementations, and standardized building blocks for internal engineering teams.
• Define and communicate a multi-year platform roadmap, ensuring technical priorities map to enterprise outcomes and adoption goals.
• Design and implement stateful orchestration (state graphs/state machines) to handle planning edge cases, recovery, and self-correction in autonomous workflows.
• Build and operate secure remote tool gateways (e.g., MCP-style servers) and implement controlled function-calling interfaces for connecting agents to sensitive enterprise systems.
• Establish interoperability standards for agent-to-agent collaboration, enabling autonomous discovery and reliable task handoffs across independently built agent solutions.
• Design an agent identity and authorization layer that supports fine-grained permissions, auditable actions, and strong accountability for autonomous behaviors.
• Implement a unified knowledge layer using semantic retrieval and multimodal grounding to support accurate, “source-aligned” responses and decisions.
• Build long-term context persistence (“memory”) using retrieval and graph-based storage to preserve institutional knowledge and improve continuity over time.
• Create a trust and evaluation layer with automated testing pipelines to measure quality, safety, cost, latency, and reliability of agent behavior across tenants.
• Own runtime lifecycle management for agent sessions, ensuring high availability, persistence, scalability, and controlled rollout patterns.
• Lead deep code reviews focused on agent-specific failure modes (runaway loops, tool misuse, state growth, unreliable calling patterns) and implement mitigations.
• Optimize inference performance and spend through techniques such as prompt caching, model routing, and workload-aware runtime strategies.
• Act as a technical multiplier by mentoring senior/staff engineers on advanced agentic patterns, evaluation methods, and production hardening.
• Partner closely with Cloud and Infrastructure teams to influence enabling services and platform primitives needed for enterprise AI delivery.
• Raise the bar on engineering quality via documentation, profiling, reliability improvements, and ongoing performance tuning.

QUALIFICATIONS:

Required:

• 10+ years of software engineering experience, including 4+ years operating at a Principal/Architect level.
• 2+ years architecting and shipping LLM-based systems, with demonstrated experience taking agentic solutions into production at scale.
• 5+ years working in agile delivery environments.
• Google Cloud Professional Cloud Architect certification.
• Proven ability to lead technical workstreams and translate business needs into durable platform architectures.
• Strong expertise in asynchronous orchestration (e.g., Python) plus proficiency in a statically typed language (Java, Go, or Rust) for high-concurrency platform services.
• Hands-on experience with stateful graph orchestration patterns and frameworks (e.g., LangGraph/ADK-style approaches) to power robust reasoning workflows.
• Strong cloud-native experience with CLI tooling and Infrastructure-as-Code; proven ability to deploy and scale containerized workloads using container orchestration and serverless platforms.
• Experience designing and operating distributed architectures at scale, including vector stores, graph databases, and structured data pipelines.
• Deep knowledge of multi-agent design patterns and the ability to extend or replace off-the-shelf orchestration when scaling, safety, or reliability requires it.
• Working understanding of modern agent reasoning approaches (Chain-of-Thought, ReAct, Tree-of-Thoughts, Self-Reflection) and when to apply them.
• Experience supporting very high request volumes and/or extremely large datasets in production environments.
• Expertise building semantic retrieval layers, attribute-aware discovery, and stateful persistence for long-lived agent context.
• Strong understanding of MCP-style tool protocols, agent-to-agent interaction patterns, REST/gRPC APIs, OAuth2, and function-calling mechanics.
• Familiarity with microservices architecture patterns and distributed systems best practices.
• Ability to implement observability for agentic systems, including traceability/telemetry and debugging methods for multi-step reasoning and handoffs.
• Awareness of global AI regulations (e.g., EU AI Act) and ability to translate requirements into technical controls and platform governance.
• Strong written and verbal communication skills across technical and business audiences.
• Calm, decisive execution in high-pressure or incident scenarios.
• Highly organized, self-directed, detail-oriented, and effective with limited supervision.
• Ability to support off-hours work as needed, including rotational on-call, weekends, and holidays.

Preferred:

• Bachelor’s or Master’s in Computer Science, AI, or a related field.
• PhD in AI, Distributed Systems, or Cognitive Science.
• Google Cloud Professional Machine Learning Engineer certification and/or specialized certifications in multi-agent systems/autonomous reasoning.
• 3+ years working with distributed caching technologies.
• Experience provisioning and configuring cloud platform resources at scale.
• Experience supporting consumer-facing digital or commerce environments.
• Proficiency with Google Workspace (Sheets, Docs, Slides, Gmail).

About Hansell Tierney:

Hansell Tierney is one of the premier staffing and recruiting companies in the Pacific Northwest. Launched in 2001, we are a woman-owned business that serves and staffs Northwest organizations by doing things the right way, not just the easiest way. Hansell Tierney partners with candidates and clients to match the best candidates with interesting local opportunities. We navigate every relationship with the highest level of discretion and service while holding ourselves accountable to our promises. Our business thrives on our deep understanding of the job market and our ability to skillfully tailor our recruitment process to meet our clients’ unique needs.

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We’re looking for a multi-disciplinary AI Engineer to design, implement, and deploy LLM-driven agents with strong backend and front-end integration. You’ll be leading efforts across LLM agent design, prompting, fine-tuning, and MLOps, while building real-world, production-grade applications with modern web technologies.

The ideal candidate combines a strong foundation in Python and AI with practical experience in agent frameworks like LangGraph, PydanticAI, and Google ADK, as well as FastAPI and front-end development.

What you’ll do:

LLM Agents & Prompt Engineering

• Architect and implement LLM agents using frameworks like LangGraph, PydanticAI, and Google ADK.
• Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor).
• Integrate vector databases (e.g., FAISS, Pinecone, pgvector) and knowledge graphs (Neo4j) to support retrieval-augmented generation (RAG) and long-term chatbot memory.
• Design and maintain high-quality prompt strategies for robustness and reliability.

FastAPI, Model Context Protocol (MCP) & Backend

• Develop and maintain scalable APIs using FastAPI, supporting synchronous and asynchronous agent execution.
• Integrate Model Context Protocol (MCP) to enable secure and structured access to external data and tools within agent workflows.
• Implement state tracking, context-aware input dispatch, and modular plugin integration within the control plane.

Evaluation, Testing & Observability

• Build unit and behavioral tests for agents, tools, and workflows.
• Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
• Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.

Model Fine-Tuning & MLOps

• Fine-tune models using LoRA, QLoRA, or full fine-tuning pipelines.
• Integrate, deploy, and monitor models in production using cloud providers.
• Set up agent logging, observability dashboards, and recovery workflows.

Front-End & UX

• Familiar with React, TypeScript, Next.js, or similar frameworks
• Understanding of front-end and back-end integration for AI tools
• Ability to build basic dashboards or agent interfaces
• Integrate agents into interfaces
• Speak the language of UI 

What we’re looking for:

• 3+ years experience with Python in ML/AI systems and PyTorch or Tensorflow
• 1+ years experience with LLM agent development, prompt engineering, and frameworks like
• LangGraph, PydanticAI, and Google ADK.
• Experience with fine-tuning LLMs.
• Familiarity using vector stores like ChromaDB, Weaviate, or pgvector.
• Production experience with FastAPI, Docker, and MLOps
• Expert in Agentic Coding IDEs (Windsurf, Cursor or Claude Code)
• Bachelor’s or Master's degree in computer science

Nice to have:

• Open-source contributions to LLM/agent tooling
• Knowledge of async programming, websockets, and streaming APIs

What we offer:

• Competitive compensation and equity
• Comprehensive benefits including medical, dental, vision, etc.
• Unlimited and flexible PTO