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Agentic Ai Jobs in Edison, NJ (NOW HIRING)

Hirekeyz Inc

Agentic AI Developer

Berkeley Heights, NJ · On-site

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 ...

Judge Group, Inc.

Agentic AI Architects

Edison, NJ · On-site

$155K - $200K/yr

Agentic AI Architect Location: United States (Travel Required) Employment Type: Full-Time, W2 Work Authorization: Candidates must be authorized to work in the United States and be able to accept W2 ...

Tata Consultancy Services

Agentic AI Engineer

Edison, NJ

$116K - $139K/yr

• Contribute to the design, build, deployment, and optimization of AI/GenAI/Agentic AI solutions for customers as well as internal TCS AI and Data business platforms. • Design, train, and ...

Tata Consultancy Services

Agentic AI Engineer

Edison, NJ · On-site

$116K - $139K/yr

• Contribute to the design, build, deployment, and optimization of AI/GenAI/Agentic AI solutions for customers as well as internal TCS AI and Data business platforms. • Design, train, and ...

Princeton IT Services

Agentic AI Engineer

New York, NY · On-site

Agentic AI Engineer Location : NY/NJ/ Dallas Job Type : FTE's Job Overview: In this role, you will be responsible for launching and implementing GenAI agentic solutions aimed at reducing the risk and ...

Inizio Partners

Agentic AI Architect

New York, NY · Hybrid

$77.50 - $99.75/hr

Define end-to-end architecture for agentic AI-enabled platform across data, AI, orchestration, and integration layers * Design and govern agentic orchestration framework for multi-step workflows

Catapult Sports

Agentic AI Engineer

New York, NY · On-site

$107K - $214K/yr

We're looking for an Agentic AI Engineer who has already shipped production AI systems and understands what it takes to make them reliable, measurable and trustworthy. What you'll do: * Design and ...

Catapult Sports

Agentic AI Engineer

New York, NY · On-site

$107K - $214K/yr

We're looking for an Agentic AI Engineer who has already shipped production AI systems and understands what it takes to make them reliable, measurable and trustworthy. What you'll do: * Design and ...

Catapult Sports

Agentic AI Engineer

New York, NY

$107K - $214K/yr

We're looking for an Agentic AI Engineer who has already shipped production AI systems and understands what it takes to make them reliable, measurable and trustworthy. What you'll do: * Design and ...

Indicium AI

Vice President of Agentic AI

New York, NY · On-site

$220K - $350K/yr

VP of Agentic AI (U.S. Forward Deployed Engineering Lead) About Indicium AI Indicium AI was Anthropic's first European launch partner and sits among a handful of organizations globally trusted to ...

Indicium AI

Vice President of Agentic AI

New York, NY · On-site

$220K - $350K/yr

VP of Agentic AI (U.S. Forward Deployed Engineering Lead) About Indicium AI Indicium AI was Anthropic's first European launch partner and sits among a handful of organizations globally trusted to ...

Saransh Inc

Agentic AI Developer

Jersey City, NJ · On-site

Agentic AI SME Location: Jersey City, NJ (Onsite from Day 1) Job Type: Contract Job Summary: As an AI Agent Developer, you will design, develop, and deploy intelligent AI agents that enhance client ...

Jj

Sr. Technical Analyst, Agentic AI

Raritan, NJ · On-site

The ideal candidate is an agentic AI expert who understands how to orchestrate large language models, retrieval-augmented generation pipelines, and multi-step reasoning agents to produce consistent ...

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All JobsAgentic Ai JobsAgentic Ai Jobs in Edison, NJ

Agentic Ai information

See Edison, NJ salary details

$36

$66

$117

How much do agentic ai jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for agentic ai in Edison, NJ is $66.67, according to ZipRecruiter salary data. Most workers in this role earn between $46.06 and $101.35 per hour, depending on experience, location, and employer.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

What are the key skills and qualifications needed to thrive as an AI engineer, and why are they important?

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are in demand in industries like technology, robotics, and automation. Careers in this field typically require skills in machine learning, programming, and data analysis, and can offer growth opportunities as AI technology advances.

What type of jobs are in agentic AI?

Jobs in agentic AI involve developing, training, and deploying autonomous AI systems that can perform tasks independently, such as AI research scientist, machine learning engineer, AI software developer, and data scientist. These roles typically require skills in programming, machine learning frameworks, and understanding of AI ethics and safety protocols.

What are popular job titles related to Agentic Ai jobs in Edison, NJ?

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

What job categories do people searching Agentic Ai jobs in Edison, NJ look for?

The top searched job categories for Agentic Ai jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Agentic Ai jobs?

Cities near Edison, NJ with the most Agentic Ai job openings:

Agentic Ai jobs near you
Infographic showing various Agentic Ai job openings in Edison, NJ as of August 2026, with employment types broken down into 71% Full Time, 22% Part Time, 3% Temporary, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $141,632 per year, or $68.1 per hour.

Agentic AI Developer

Hirekeyz Inc

Berkeley Heights, NJ • On-site

Full-time

Re-posted 2 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).