ZipRecruiter

Log In

1

Full Stack Ai Engineer Jobs in Hamden, CT (NOW HIRING)

Assa Abloy

Full Stack Developer, MarTech

New Haven, CT · On-site

As a Full Stack Developer , you will take ownership of our internal design system - a versioned suite of React components, Tailwind configurations, and headless primitives published as NPM packages ...

ASSA ABLOY

Full Stack Developer, MarTech

New Haven, CT · On-site

As a Full Stack Developer , you will take ownership of our internal design system - a versioned suite of React components, Tailwind configurations, and headless primitives published as NPM packages ...

ASSA ABLOY

Full Stack Developer, MarTech

New Haven, CT · Hybrid

As a Full Stack Developer , you will take ownership of our internal design system - a versioned suite of React components, Tailwind configurations, and headless primitives published as NPM packages ...

next page

Showing results 1-20

All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Hamden, CT

Full Stack Ai Engineer information

See Hamden, CT salary details

$44.2K

$134K

$189.4K

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

As of Aug 18, 2026, the average yearly pay for full stack ai engineer in Hamden, CT is $133,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $157,100.00 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.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

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.

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 job categories do people searching Full Stack Ai Engineer jobs in Hamden, CT look for?

The top searched job categories for Full Stack Ai Engineer jobs in Hamden, CT are:

What cities near Hamden, CT are hiring for Full Stack Ai Engineer jobs?

Cities near Hamden, CT with the most Full Stack Ai Engineer job openings:

Full Stack Ai Engineer jobs near you

Founding Software Engineer - AI & Operations (Full-Stack)

United Concrete

Wallingford, CT • On-site

Full-time

Medical, Dental, Retirement, PTO

Posted 18 days ago

Job description

The short version
We make precast concrete - the stuff underneath roads, buildings, and utilities across the Northeast. Our plants run on spreadsheets, memory, and paper. We're hiring one engineer to change that, with full ownership of architecture, stack, and roadmap.
You won't inherit legacy code. You won't ship features into a backlog nobody reads. You'll build systems that people 50 feet from your desk use every day - and they'll tell you, immediately and honestly, whether they work.
Why this role is different
  • You choose the stack. Green-field. Data model to UI, it's yours.
  • AI is the job, not a bolt-on. Real problems waiting for it:
    • We recently caught a $6,000 forklift parts invoice that a 5-minute manual price check found for half the cost. We want an OCR + LLM pipeline that catches every one of those automatically.
    • We have 10+ years of sales history and no forecasting. Every busy season, high-demand products stock out. You'll build the model that flags shortfalls before they happen.
    • A heater once ran all winter and nobody noticed until the bill review - years later. You'll build anomaly detection on energy and utility data so that never happens again.
  • Direct P&L impact. Your code will save real money, measurably, within months - not "improve engagement metrics."
  • You'll work across the whole business: production scheduling, dispatch and truck routing (including oversized loads), job cost accounting, predictive maintenance, procurement, and compliance.
What you'll build (first 12-18 months)
  • AI invoice auditing - OCR + LLM pipeline that extracts line items from scanned vendor invoices and checks them against market pricing, with human review where errors are costly
  • Demand forecasting - ML/time-series models on a decade of sales data, cross-referenced with mold inventory, to recommend what to pour next
  • Unified inventory & job costing - one system for raw materials, finished goods, labor hours, and purchases tied to specific jobs
  • Route & load planning - truck routing by weight capacity, trailer selection for over-weight/over-width loads, freight costs flowing into job cost sheets
  • Predictive maintenance - evaluate our existing MaintainX deployment (keep it, replace it, or integrate it - your call), then use maintenance history to flag high-wear parts before they fail
  • Compliance & alerts - fleet registrations, insurance, inspections, and real-time shipping/receiving notifications

Logistics
  • Location: 173 Church Street, Yalesville, CT - onsite with the people you're building for (adjust if hybrid flexibility is approved)
  • Compensation: [$X-$Y base] + [benefits summary] (strongly recommend posting a range - it materially improves reply and apply rates)
  • Process: intro call → technical deep-dive on a system you built → short practical exercise (invoice-extraction design) → meet the plant team → offer. Two weeks, start to finish, if you move fast.

Requirements
  • 3+ years of professional engineering experience, including at least one production system you owned end-to-end (data model → API → UI)
  • Strong full-stack fundamentals: a modern backend language, solid SQL/relational design, and a modern frontend framework - we care more about judgment than any specific stack
  • You've shipped LLM API integrations into production (OpenAI, Anthropic, etc.) - structured, task-specific automation, not chatbot demos
  • You've worked with OCR / document extraction and turned messy scans into clean, queryable data
  • You know when a simple regression beats a fancy model - and when AI doesn't earn its complexity
  • You use AI coding assistants (Claude Code, Copilot) daily and ship faster because of it
  • You genuinely enjoy sitting down with a dispatcher or plant manager, understanding their manual process, and turning it into software they actually adopt
  • You're self-directed and comfortable being the first engineer

Bonus points: manufacturing/logistics/construction software, route optimization or constraint problems, anomaly detection on time-series data, AI-assisted procurement tools.
You're probably not a fit if
  • You want a large engineering org, a defined career ladder, and someone else deciding the architecture
  • You need a product manager between you and your users
  • You're only interested in fully remote work

Benefits
  • Paid Vacation
  • Paid Holidays and Sick Time
  • Company 401K 10% Match
  • Group Medical and Dental

Apply