1

Ai Developer Jobs in Edison, NJ (NOW HIRING)

Agentic AI Developer Location: Berkeley Heights, NJ Duraction: Full Time Agentic AI Developer (Python) -- Vertex AI RAG + Graph/Vector Datastores Role summary We're looking for a strong agentic AI ...

Senior AI Developer

Manhattan, NY · On-site

$125K - $140K/yr

Senior AI Developer Location: New York, United States Type: Full-time Department: Technology Job Summary We are seeking a Senior AI Developer to support one of our premier clients-a leading global ...

Senior AI Developer Location: New York, United States Type: Full-time Department: Technology Job Summary We are seeking a Senior AI Developer to support one of our premier clients-a leading global ...

* Senior Software Engineer - Generative AI (Applied AI & Engineering) * New York City (Hybrid - 3 days a week in-office) * Generous compensation Are you a hands-on builder with a first-principles ...

As an AI Agent Developer, you will design, develop, and deploy intelligent AI agents that enhance client experience and operational efficiency. You will collaborate across teams to build scalable AI ...

Lead Generative AI Developer

New York, NY · On-site

$64.50 - $84.50/hr

* Lead Generative AI Developer for a leading Quant Firm * Hybrid working in New York * Highly competitive compensation package Are you an experienced software developer passionate about Generative AI ...

Kore.AI Developer

New York, NY · Remote

$53.75 - $69.25/hr

Technical Skills * 2-5+ years of hands‑on experience developing bots on the Kore.ai XO Platform . * Strong programming experience in Python and Java (mandatory). * Expertise in building ...

Senior Java AI Developer

Jersey City, NJ · On-site

$62.75 - $80/hr

C. is seeking a Senior Java AI Developer to join their team. The role involves extensive experience in Java development and knowledge in Generative AI, particularly within the banking domain.

Senior Gen AI Developer

Brooklyn, NY · On-site

$132K - $177K/yr

MDAEdge is a company seeking a Senior Gen AI Developer. The role involves designing and developing web applications and APIs, fine-tuning language models, and optimizing database performance while ...

next page

Showing results 1-20

Ai Developer information

See Edison, NJ salary details

$41.4K

$133.9K

$164.1K

How much do ai developer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for ai developer in Edison, NJ is $133,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,700.00 and $162,500.00 per year, depending on experience, location, and employer.

What does an AI developer do?

An AI developer designs, builds, and maintains artificial intelligence models and systems, such as machine learning algorithms and neural networks. They often work with programming languages like Python or Java, utilize frameworks like TensorFlow or PyTorch, and require knowledge of data analysis and software engineering to create intelligent applications. Their work involves training models on large datasets and optimizing performance for specific tasks.

What are the key skills and qualifications needed to thrive in the Ai Developer position, and why are they important?

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 much do AI devs make?

AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or specific tools like TensorFlow or PyTorch tend to command higher salaries.

What are the typical daily responsibilities of an AI Developer?

AI Developers typically spend their days designing, developing, and testing machine learning models, writing and optimizing code, and collaborating with data scientists and software engineers. They also analyze large data sets, tune algorithms for better performance, and document their processes for reproducibility. Regular tasks may include staying up to date with research in artificial intelligence, integrating AI solutions into existing products, and troubleshooting any issues that arise. This role often involves working in an agile team environment, where effective communication and teamwork are essential.

What engineers make $500,000?

Senior AI developers and machine learning engineers with extensive experience, specialized skills, and advanced certifications can earn $500,000 or more annually, especially in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, and typically requires expertise in deep learning, neural networks, and programming languages like Python or TensorFlow.

Do AI developers make money?

AI developers typically earn competitive salaries that vary based on experience, location, and industry. Entry-level positions may start around $70,000 annually, while experienced professionals can earn over $150,000, especially with skills in machine learning, deep learning, and programming languages like Python. Continuous learning and certifications can also influence earning potential.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI architect, often found in large tech companies or specialized firms. These roles usually require advanced skills in programming, data analysis, and deep learning, along with significant experience and sometimes advanced degrees or certifications. Compensation at this level often includes base salary, bonuses, and stock options, reflecting the role's seniority and impact.

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 most commonly searched types of Ai Developer jobs in Edison, NJ? The most popular types of Ai Developer jobs in Edison, NJ are:
What are popular job titles related to Ai Developer jobs in Edison, NJ? For Ai Developer jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Ai Developer jobs in Edison, NJ look for? The top searched job categories for Ai Developer jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Ai Developer jobs? Cities near Edison, NJ with the most Ai Developer job openings:
Infographic showing various Ai Developer job openings in Edison, NJ as of July 2026, with employment types broken down into 70% Full Time, 18% Part Time, 2% Contract, and 10% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $133,908 per year, or $64.4 per hour.

Agentic AI Developer

Hirekeyz Inc

Berkeley Heights, NJ • On-site

Full-time

Re-posted 12 days ago


Job description

Role: Agentic AI Developer
 
Location: Berkeley Heights, NJ
 
Duraction: Full Time
 

Agentic AI Developer (Python) — Vertex AI RAG + Graph/Vector Datastores

Role summary

We’re looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases. You’ll own end-to-end delivery: ingestion → retrieval → agent orchestration → evaluation → deployment.

What you’ll do

  • Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
  • Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
  • Integrate agents with Graph DBs (e.g., Neo4j, JanusGraph, Neptune) and Vector DBs (e.g., Vertex Vector Search, Pinecone, Weaviate, Milvus, pgvector).
  • Create robust data ingestion/ETL from PDFs, docs, webpages, and internal sources; implement metadata strategy and access control.
  • Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
  • Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.

Must-have skills

  • Strong Python (clean architecture, async, testing, typing, packaging).
  • Proven experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).
  • Hands-on with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage).
  • Experience with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
  • Solid knowledge of vector search concepts and at least one vector DB in production.
  • Comfortable with graph data modeling and graph querying (Cypher/Gremlin/SPARQL basics).
  • Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.

Nice-to-have

  • Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).
  • Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.
  • Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.
  • Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).