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Founding Ai Engineer Jobs in Meriden, CT (NOW HIRING)

Learning and development supported by evolving tools and technologies, including AI * Best-in-class ... Since our founding, we have intentionally fostered a culture of inclusion and belonging, supported ...

Learning and development supported by evolving tools and technologies, including AI * Best-in-class ... Since our founding, we have intentionally fostered a culture of inclusion and belonging, supported ...

Learning and development supported by evolving tools and technologies, including AI * Best-in-class ... Since our founding, we have intentionally fostered a culture of inclusion and belonging, supported ...

Learning and development supported by evolving tools and technologies, including AI * Best-in-class ... Since our founding, we have intentionally fostered a culture of inclusion and belonging, supported ...

Learning and development supported by evolving tools and technologies, including AI * Best-in-class ... Since our founding, we have intentionally fostered a culture of inclusion and belonging, supported ...

Learning and development supported by evolving tools and technologies, including AI * Best-in-class ... Since our founding, we have intentionally fostered a culture of inclusion and belonging, supported ...

Structural Bridge Engineer Project Manager

Wethersfield, CT ยท Hybrid

$80K - $107K/yr

Learning and development supported by evolving tools and technologies, including AI * Best-in-class ... Since our founding, we have intentionally fostered a culture of inclusion and belonging, supported ...

At VHB, you'll work alongside planners, engineers, scientists, and technologists who share a ... Since our founding, we have intentionally fostered a culture of inclusion and belonging, supported ...

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Founding Ai Engineer information

See Meriden, CT salary details

$24

$52

$75

How much do founding ai engineer jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for founding ai engineer in Meriden, CT is $52.56, according to ZipRecruiter salary data. Most workers in this role earn between $42.40 and $61.01 per hour, depending on experience, location, and employer.

What is a founding AI engineer?

A Founding AI Engineer is an early member of a startup's technical team, responsible for designing, building, and implementing artificial intelligence systems that form the core of the company's product or service. This role often involves working closely with company founders to set technical direction, make key architectural decisions, and develop scalable machine learning solutions from the ground up. Founding AI Engineers are expected to wear multiple hats, contribute to both research and engineering efforts, and help establish best practices as the company grows. They play a crucial role in shaping the company's technology culture and long-term vision.

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

To thrive as a Founding AI Engineer, you need deep expertise in machine learning, software engineering, and algorithm development, typically supported by an advanced degree in computer science or a related field. Proficiency with frameworks like TensorFlow or PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is essential, along with experience deploying AI models to production. Strong problem-solving, adaptability, and entrepreneurial mindset distinguish top performers in this role. These skills are vital for building innovative AI solutions from the ground up, shaping product direction, and driving early-stage company success.

What are some unique challenges a founding AI engineer might face in an early-stage startup environment?

As a Founding AI Engineer in a startup, you'll often be responsible for both building core AI systems and setting up foundational engineering practices. Unique challenges include balancing rapid prototyping with long-term scalability, working with limited resources, and defining the technical roadmap alongside product priorities. You'll likely collaborate closely with founders, product managers, and sometimes even customers, making adaptability and strong communication essential. This role offers significant autonomy but also requires comfort with ambiguity and frequent shifts in direction as the company grows.

What is the difference between Founding Ai Engineer vs AI Engineer?

AspectFounding Ai EngineerAI Engineer
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; experience in AI developmentBachelor's or Master's in Computer Science, AI, or related fields; experience in AI development
Work EnvironmentStartup or early-stage company, often in a founding or core team roleEstablished companies, tech firms, or startups with ongoing AI projects
Employer & Industry UsageFounding AI roles are common in startups and new venturesWidely used across industries including tech, finance, healthcare, and more

The main difference is that a Founding AI Engineer is typically an early team member in a startup, often involved in shaping the company's AI strategy from the ground up, whereas an AI Engineer generally works within established organizations on ongoing AI projects. Both roles require similar technical credentials but differ in scope, environment, and level of responsibility.

What job categories do people searching Founding Ai Engineer jobs in Meriden, CT look for?

The top searched job categories for Founding Ai Engineer jobs in Meriden, CT are:

What cities near Meriden, CT are hiring for Founding Ai Engineer jobs?

Cities near Meriden, CT with the most Founding Ai Engineer job openings:

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

Wallingford, CT โ€ข On-site

Full-time

Medical, Dental, Retirement, PTO

Posted 27 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