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Agentic Ai Developer Jobs in New York (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 ...

BeaconFire Inc.

Agentic AI Developer (Python)

East Windsor, NJ · On-site

$50 - $69/hr

🤖 Agentic AI Developer (Python) @ BeaconFire 📍 Location: East Windsor, New Jersey (Onsite) 📄 Visa Sponsorship Available | E-Verified Company 🚀 Build the Future of AI with BeaconFire! Are ...

New

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 ...

Capgemini

GenAI / Agentic AI Developer

New York, NY · On-site

We are seeking a highly skilled and hands-on GenAI / Agentic AI Developer to design, build, and deploy enterprise-grade AI solutions powered by Large Language Models (LLMs), Retrieval-Augmented ...

Capgemini

GenAI / Agentic AI Developer

New York, NY · On-site

We are looking for a hands-on GenAI / Agentic AI Developer to build LLM-powered applications, RAG solutions, and agentic AI workflows for enterprise use cases. Key ResponsibilitiesBuild GenAI ...

Capgemini

GenAI / Agentic AI Developer

New York, NY · On-site

We are looking for a hands-on GenAI / Agentic AI Developer to build LLM-powered applications, RAG solutions, and agentic AI workflows for enterprise use cases. Key Responsibilities * Build GenAI ...

Capgemini

GenAI / Agentic AI Developer

New York, NY · On-site

We are looking for a hands-on Gen AI / Agentic AI Developer to build LLM-powered applications, RAG solutions, and agentic AI workflows for enterprise use cases. Key Responsibilities: Build Gen AI ...

Capgemini

GenAI / Agentic AI Developer

New York, NY · On-site

We are looking for a hands-on Gen AI / Agentic AI Developer to build LLM-powered applications, RAG solutions, and agentic AI workflows for enterprise use cases. Key Responsibilities: Build Gen AI ...

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 ...

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 · 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 ...

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Agentic Ai Developer information

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How much do agentic ai developer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for agentic ai developer in New York is $49.55, according to ZipRecruiter salary data. Most workers in this role earn between $25.77 and $59.95 per hour, depending on experience, location, and employer.

Is agentic AI developer a good career?

Agentic AI developer is a specialized role focused on creating autonomous and adaptive AI systems, often requiring skills in machine learning, programming, and systems design. It is a growing field with increasing demand as AI technology advances, offering opportunities in research, development, and industry applications.

What does an agentic AI developer do?

An agentic AI developer designs and builds autonomous AI systems capable of making decisions and taking actions independently. They work with machine learning models, reinforcement learning, and AI frameworks to create systems that can adapt and operate in dynamic environments, often requiring programming skills in languages like Python and knowledge of AI ethics and safety. Their role involves testing, deploying, and refining AI agents to ensure reliable and ethical performance.

What cities in New York are hiring for Agentic Ai Developer jobs?

Cities in New York with the most Agentic Ai Developer job openings:

Agentic Ai Developer jobs near you
Infographic showing various Agentic Ai Developer job openings in New York as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $103,057 per year, or $49.5 per hour.

Agentic AI Developer

Hirekeyz Inc

Berkeley Heights, NJ • On-site

Full-time

Re-posted 29 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).