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Ai Developer Jobs in Edison, NJ (NOW HIRING)

Photon

Python + Gen AI Developer - New York

Manhattan, NY · On-site

$55 - $76/hr

We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the ...

MDAEdge

Senior Gen AI Developer (ONLY W2)

Brooklyn, NY · On-site

$132K - $177K/yr

MDAEdge is a company specializing in advanced technology solutions, and they are seeking a Senior Gen AI Developer. The role involves designing and developing web applications, APIs, and ...

Adidev Technologies Inc

AI/ML Developer

Manhattan, NY · On-site

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in ...

Adidev Technologies Inc

AI/ML Developer

Manhattan, NY · Remote

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in ...

Learn Beyond Consulting LLC

Java Developer

Jersey City, NJ · On-site

$53.25 - $69/hr

Experience with AI/ML models and quantitative analysis * Experience with research and backtesting ... Strong software engineering practices: Git, testing, modular design * Linux and shell scripting

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Ai Developer information

See Edison, NJ salary details

$40.5K

$131.1K

$160.7K

How much do ai developer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for ai developer in Edison, NJ is $131,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $159,100.00 per year, depending on experience, location, and employer.

What does an AI developer do?

An AI Developer designs, builds, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning, deep learning, and data science technologies to develop applications such as chatbots, recommendation systems, or automation tools. AI Developers often use programming languages like Python and frameworks like TensorFlow or PyTorch. Their role involves training models, optimizing performance, and deploying AI solutions in real-world environments.

What are the key skills and qualifications needed to thrive as an AI developer?

To thrive as an AI Developer, you need a solid understanding of machine learning algorithms, programming languages such as Python or Java, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms, and certifications in AI or data science are common requirements. Strong analytical thinking, problem-solving abilities, and effective communication skills set top candidates apart. These skills are essential for designing accurate, efficient AI models and collaborating successfully across interdisciplinary teams.

How do I become an AI developer?

To become an AI developer, you should gain a strong foundation in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and develop skills in data analysis and algorithms. A bachelor's degree in computer science, data science, or a related field is typically required, and gaining experience through projects, internships, or certifications can enhance your prospects.

What are the most commonly searched types of Ai Developer jobs in Edison, NJ?

The most popular types of Ai Developer jobs in Edison, NJ are:

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For Ai Developer jobs in Edison, NJ, the most frequently searched job titles are:

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Ai Developer jobs near you
Infographic showing various Ai Developer job openings in Edison, NJ as of August 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $133,908 per year, or $64.4 per hour.

Software Engineer - AI Developer Productivity

Baseten

New York, NY • On-site

$165K - $330K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Job description

ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten's engineers want to work in an AI-first way. What's missing isn't enthusiasm - it's the platform underneath it. Today everyone assembles their own agent config, context files, and MCP servers, so the good patterns stay trapped in individual setups instead of becoming defaults everyone inherits.
You'll build that platform: the agent configurations tuned to our monorepo, the context and tooling layer that makes agents competent in our codebase, the evals that tell us which approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week one.
You are not here to mandate how engineers use AI - you're here to make the good path the easy path. Success looks like teams adopting what you build because it beats what they'd cobble together themselves, not because a policy requires it. Platform engineer, not AI evangelist. Ship infrastructure, measure it, kill what doesn't work, let adoption be the referee.
The playbook for AI-first SDLC doesn't exist at any company yet. You'll write ours.
EXAMPLE INITIATIVES
Agent substrate - Repo-level context infrastructure that makes agents competent in our codebase (CLAUDE.md/AGENTS.md conventions, architecture and domain context, and the tooling to keep it accurate as code moves). Internal MCP servers giving agents scoped access to CI, observability, incident tooling, deployment state, and docs. Shared skills, subagents, and hooks that encode Baseten workflows. Sandboxed environments where agents can build and test safely.
The golden path - Project templates and onboarding that ship with AI tooling configured and working. Self-serve infrastructure so teams build their own agents without you as the bottleneck. Gateway, auth, cost controls, and audit logging for internal model access.
The feedback loop - Eval harnesses that answer "is this config better than that one" against real Baseten tasks, not vibes. Instrumentation of AI tool usage and its downstream effects on cycle time, review latency, and change failure rate. Honest reporting, including on what you built that didn't pan out.
Agents in the SDLC - Automation where agents earn their keep: PR review triage, test gap-filling, incident context assembly, migrations and refactors, codebase Q&A. Integrating agents into CI/CD with guardrails that make it trustworthy.
RESPONSIBILITIES
  • Own the internal AI developer platform end to end - architecture, build, rollout, operation, measurement.
  • Evaluate and integrate third-party AI coding tools (Claude Code, Cursor, Codex, and whatever ships next quarter), and build the context layer that makes them work against our monorepo.
  • Build frameworks that let other engineers create their own agents without deep LLM expertise.
  • Establish the evaluation practice for AI-assisted development at Baseten, and use it to drive investment decisions.
  • Drive adoption through developer experience - good defaults, clear docs, low friction - not mandate.
  • Embed with teams to find where AI genuinely unblocks them, then generalize those wins into platform capabilities.
  • Own the safety layer: permissions, secrets handling, audit trails, cost management.

REQUIREMENTS
  • Have 4+ years of relevant industry experience building and enabling AI native SDLC
  • Strong proficiency in Python and/or Go, building tools other engineers depend on daily.
  • Hands-on experience with LLMs and agent frameworks - tool calling, MCP, context management, orchestration, failure handling. You've shipped something agentic that real people used, not just prototyped.
  • Deep personal fluency with AI coding tools and well-formed opinions about where they break down.
  • Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide.
  • Developer tooling, CI/CD, and Kubernetes/Docker fundamentals.
  • Comfort with ambiguity - this space invalidates its own best practices every few months.
  • Excellent written communication. Much of your leverage is docs, templates, and examples that scale beyond conversations you're in.

BENEFITS
  • Competitive compensation, including meaningful equity
  • 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • Company-facilitated 401(k)
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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