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Agentic Ai Engineer Jobs in Edison, NJ (NOW HIRING)

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

$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 ...

Tata Consultancy Services

Agentic AI Engineer

Edison, NJ · On-site

$116K - $139K/yr

... Agentic AI research and contribute innovative ideas to improve products and processes. • Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, Applied Math, or ...

Tata Consultancy Services

Agentic AI Engineer

Edison, NJ · On-site

$116K - $139K/yr

... Agentic AI research and contribute innovative ideas to improve products and processes. • Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, Applied Math, or ...

2T Consulting

Python Agentic AI Engineer

Paterson, NJ · On-site

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and backend solutions. The role combines Python, agentic AI, LLMs, RAG, AWS, APIs, microservices, and event ...

2T Consulting

Python Agentic AI Engineer

Union, NJ · On-site

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and backend solutions. The role combines Python, agentic AI, LLMs, RAG, AWS, APIs, microservices, and event ...

2T Consulting

Python Agentic AI Engineer

Clifton, NJ

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and backend solutions. The role combines Python, agentic AI, LLMs, RAG, AWS, APIs, microservices, and event ...

2T Consulting

Python Agentic AI Engineer

Hoboken, NJ

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and backend solutions. The role combines Python, agentic AI, LLMs, RAG, AWS, APIs, microservices, and event ...

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All JobsAgentic Ai Engineer JobsAgentic Ai Engineer Jobs in Edison, NJ

Agentic Ai Engineer information

See Edison, NJ salary details

$40.4K

$105.3K

$142.3K

How much do agentic ai engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for agentic ai engineer in Edison, NJ is $105,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $120,600.00 per year, depending on experience, location, and employer.

Is agentic AI engineer a good career?

Agentic AI engineering is a growing field focused on developing autonomous AI systems, requiring skills in machine learning, programming, and systems design. It offers opportunities in research, development, and deployment across various industries, with demand expected to increase as AI technology advances. The role typically requires a strong technical background and continuous learning to stay current with evolving tools and techniques.

What does an Agentic AI Engineer do?

An Agentic AI Engineer designs and develops autonomous AI systems capable of making decisions and taking actions independently. They work with machine learning models, reinforcement learning, and robotics, often requiring skills in programming, data analysis, and system integration to create intelligent agents that can operate in dynamic environments.

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

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

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

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

Agentic Ai Engineer jobs near you
Infographic showing various Agentic Ai Engineer job openings in Edison, NJ as of August 2026, with employment types broken down into 70% Full Time, 6% Part Time, 2% Temporary, and 22% Contract. Highlights an 79% In-person, 4% Hybrid, and 17% Remote job distribution, with an average salary of $105,339 per year, or $50.6 per hour.

Agentic AI Engineer

Princeton IT Services

New York, NY • On-site

Contractor

Re-posted 27 days ago

Job description

Job Title: 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 cost of managing large-scale production environments with varying complexities. You will address various production runtime challenges by developing agentic AI solutions that can diagnose, reason, and take actions in production environments to improve productivity and address issues related to production support.

What you’ll do:

•       Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Engineer robust guardrails for safety, compliance, and least-privilege access.

•       Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations.

•      Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability.

•      Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business-aligned outcomes.

•      Safety, reliability, and governance: Build validator models, adversarial prompts, and policy checks into the stack; enforce deterministic fallbacks, circuit breakers, and rollback strategies; instrument continuous evaluations for usefulness, correctness, and risk.

•      Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real-world load.

• Build a RAG pipeline: Curate domain-knowledge; build data-quality validation framework; establish feedback loops and milestone framework maintain knowledge freshness.

• Raise the bar: Drive design reviews, experiment rigor, and high-quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns

Role Requirements: understand what skills, experience, and qualities you are looking for.

ESSENTIAL SKILLS:

1. 5+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred.

2. 3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows.

3. Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution).

4. Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude).

5. Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions.

6. Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.

7. Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation).