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Full Stack Ai Engineer Jobs in Connecticut (NOW HIRING)

As one of the first Full Stack Engineers at Icon, you'll be a driving force behind crafting our product platform. The ideal candidate is someone who's passionate about understanding the context for ...

Java Full Stack Developer

Hartford, CT · On-site

$53 - $68.25/hr

... Full stack|Java Full stack Technical Skills 2 Technology|Cloud Platform|AWS App Development ... Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ...

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Full Stack Ai Engineer information

See Connecticut salary details

$42.3K

$128.2K

$181.2K

How much do full stack ai engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for full stack ai engineer in Connecticut is $128,205.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $150,300.00 per year, depending on experience, location, and employer.

What is a Full Stack AI Engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do Full Stack AI Engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
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What cities in Connecticut are hiring for Full Stack Ai Engineer jobs? Cities in Connecticut with the most Full Stack Ai Engineer job openings:
Infographic showing various Full Stack Ai Engineer job openings in Connecticut as of July 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $128,205 per year, or $61.6 per hour.
Full Stack AI Engineer (Healthcare Navigation)

Full Stack AI Engineer (Healthcare Navigation)

TouchCare

Stamford, CT

Other

Medical, Dental, Vision, PTO

Posted 2 days ago


Job description

Full Stack AI Engineer
TouchCare | Stamford, CT

About TouchCare

Every year, millions of Americans are overcharged, denied coverage they are entitled to, or simply give up on care they need because the system is too confusing to navigate. TouchCare exists to change that.

For over a decade, we've provided 1.4M+ members with a dedicated healthcare concierge - a real person backed by smart technology who resolves billing disputes, coordinates care, and fights on behalf of members when the system works against them. We're profitable, we're growing, and the problem we're solving is only getting more urgent.

The Role

The Applied AI Engineer will be our first internal full stack engineer, with a clear focus on reinvigorating our tech stack. You will build and maintain TouchCare's platforms, architecture, and systems in a HIPAA-regulated environment, working across the full stack to ship production-quality software that directly supports users and support team.

You'll report directly to the COO and work closely with the team to build an infrastructure that supports AI-driven solutions. You'll also partner with our global technology consultancy (8-9 engineers) who manage core infrastructure and compliance operations; your focus is what we build next on top of that foundation.

The Opportunity

We're making a significant investment in AI - and we're hiring our first internal AI engineer to implement it.

You'll work directly with the COO on innovative approaches: to identify where AI can make our member and employer experience higher quality, more efficient and effective.

The foundation is already strong: over a million members, a decade of healthcare navigation and claims data, and operational depth that takes most startups years to develop. The opportunity is to rebuild core workflows around what AI actually makes possible and to do it with real users in production from day one.

  • This is a hands-on, production-focused role: you'll design, ship, and maintain the tech stack used by members and care advocates every day, not hypothetical users.

What You'll Build

  • Autonomous Healthcare Navigation Agents
    Design and ship agentic workflows that handle complex, multi-step healthcare processes, claim triage, benefits navigation, billing resolution with minimal human intervention. You'll define the architecture, choose the tooling, and own these systems from prototype to production in a HIPAA-compliant environment.
  • Internal Ticketing & Messaging Platform
    Build a purpose-built internal platform that gives our member services team a unified, intelligent workspace with routing, context surfacing, and asynchronous messaging designed for the way our team works. This includes integrating with healthcare and benefits systems, surfacing plan details and claims context, and ensuring auditability.
  • AI Infrastructure & Evaluation Tooling
    Develop the frameworks that keep AI systems reliable and safe in healthcare: human-in-the-loop escalation paths and observability tooling that gives you a clear picture of system performance in production. You'll help define how we monitor PHI flows, safeguard member data, and continuously evaluate quality in a regulated setting.

What You'll Do

  • Own full-stack feature development end-to-end: architecture, design, implementation, deployment, and iteration.
  • Design and ship production AI agents and workflow automations that our member services and benefits advocacy teams depend on daily.
  • Collaborate directly with the COO, operations, and member services teams to understand the healthcare and benefits workflows you're improving (claims, coverage issues, billing disputes, provider coordination).
  • Build in a HIPAA-regulated environment.
  • Partner with our external engineering team to maintain and improve existing systems, while helping migrate and streamline the tech stack over time.

Our Stack

  • Languages & Frameworks
    Python React TypeScript PostgreSQL
  • Infrastructure & CI/CD
    GCP GitLab Jenkins
  • Observability & Quality
    Sentry Gurock TestRail
  • Project Management & Collaboration
    Atlassian (Jira Confluence)
  • AI & Integrations
    LLM orchestration frameworks (LangChain / LlamaIndex or equivalent) ElevenLabs (voice agents) RESTful APIs HIPAA-compliant infrastructure

You're a Strong Fit If You Have

  • 3-6 years of software engineering experience, with meaningful time spent building and maintaining production system
  • Full-stack engineering capability, comfortable owning frontend and backend across the full development lifecycle.
  • Hands-on production experience, you've shipped systems real users depend on and iterated on them based on what you learned.
  • Experience in a regulated environment, HIPAA, SOC 2, PCI, or equivalent
  • Background in healthcare tech, benefits advocacy, carrier systems, or claims data, or a strong interest and willingness to go deep on this domain.
  • An AI-native workflow, Cursor, Claude, GPT (or equivalents) are part of how you work every day, and you have developed opinions about when and how to use them effectively.
  • Comfort operating as an individual contributor with engineering lead responsibilities, making technical decisions, collaborating with external partners, and owning outcomes without layers of process.

Bonus Points For

  • Direct experience with healthcare navigation, employer benefits, or advocacy products.
  • Startup experience, or a track record of shipping quickly inside a larger org while maintaining quality and compliance.
  • Experience modernizing or migrating legacy infrastructure in production.
  • Familiarity with asynchronous messaging platforms or customer service tooling (e.g., internal ticketing, contact centers, support platforms).

What We Offer

  • Competitive base salary commensurate with experience
  • Opportunity to build and shape company culture from day one
  • Direct impact on improving financial wellness for thousands of employees
  • Flexible and comprehensive benefits package

Why Join Us?

  • Impactful Growth: Lead the technological expansion of specialized services that provide critical support to members during complex life events.
  • Collaborative Environment: Work closely with a supportive team across Sales, Client Success, Product, and Marketing.
  • Strategic Leadership: Shape the go-to-market strategy and future evolution of TouchCare's specialized portfolio.

Compensation: The salary range for this role is $150,000-$180,000, based on experience, skills, qualifications, and alignment with the scope of the role.

Benefits: TouchCare offers a competitive benefits package, including medical, dental, vision, paid time off, parental leave, and other company-sponsored benefits.

Location & Work Environment: This role is based at our Stamford, CT headquarters and is expected to be onsite 5 days per week. 

TouchCare is an Equal Opportunity Employer. We are committed to building a diverse and inclusive workplace and consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other legally protected status.