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Ai Agent Developer Jobs in Edison, NJ (NOW HIRING)

Trilagen

Senior Sales Executive - Agentic AI

New York, NY · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

Cross-sell across all three Trilagen practices -- AI Agent Engineering, Cloud (AWS & Oracle OCI), and Identity Security (Okta & SailPoint ISC). Every engagement is a door into the other two.

Hello Patient

AI Agent Product Manager

New York, NY · On-site

$160K - $200K/yr

Do hands-on prompt engineering using AI tools to build the components that make agents work ... Continuously improve agent performance using structured evals, live call review, and direct ...

Trilagen

Senior Sales Executive - Agentic AI

New York, NY · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

Cross-sell across all three Trilagen practices - AI Agent Engineering, Cloud (AWS & Oracle OCI), and Identity Security (Okta & SailPoint ISC). Every engagement is a door into the other two. Territory ...

Trilagen

Senior Sales Executive - Agentic AI

New York, NY · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

You sell the vision; the engineers validate the architecture. • Cross-sell across all three Trilagen practices - AI Agent Engineering, Cloud (AWS & Oracle OCI), and Identity Security (Okta ...

SysMind Tech

Azure DevOps Engineer - AI Foundry

Manhattan, NY · On-site

$58 - $79.50/hr

Monitor, debug, and optimize AI agent performance, reliability, and cost * Ensure security ... Experience with Azure DevOps (Repos, Pipelines, Boards, CI/CD) * Intermediate experience in Python ...

Hello Patient

AI Agent Product Manager

New York, NY · On-site

$110K - $160K/yr

Do hands-on prompt engineering using AI tools to build the components that make agents work ... Continuously improve agent performance using structured evals, live call review, and direct ...

Applied Labs

AI Agent Product Manager

New York, NY · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Build AI products from 0 → 1 As an AI Agent Product Manager at Applied Labs, you will work directly with engineers and customers to define, build, and launch AI-powered products that transform how ...

Amigo AI

AI Deployment Strategist [NYC or SF]

New York, NY · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Work closely with Agent Engineers and Solutions Architects to translate customer requirements into ... In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere ...

ImmunityBio

Software Engineer, AI

New York, NY

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Software Engineer - AI will contribute to AI agent development and collaborate with cross-functional teams on the implementation of production-grade AI systems. This role supports Engineering ...

Regal

AI Product Specialist

New York, NY

$90K - $120K/yr

Build AI Agents on the Regal AI Agent Platform leveraging prompt engineering and conversational flows; tune AI agent settings (STT, LLM, TTS) to achieve the conversational quality that is Regal ...

Regal

AI Product Specialist

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Build AI Agents on the Regal AI Agent Platform leveraging prompt engineering and conversational flows; tune AI agent settings (STT, LLM, TTS) to achieve the conversational quality that is Regal ...

Avoca AI

Forward Deployed Agent Engineer

New York, NY · On-site

$140K - $300K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our AI-powered conversational agents handle every high-value inbound call, from booking jobs ... About the Role As a Forward Deployed Agent Engineer , you'll embed directly with our customers ...

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All JobsAi Agent Developer JobsAi Agent Developer Jobs in Edison, NJ

Ai Agent Developer information

See Edison, NJ salary details

$30K

$49.6K

$103K

How much do ai agent developer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai agent developer in Edison, NJ is $49,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,200.00 and $52,800.00 per year, depending on experience, location, and employer.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.

Is an AI Agent Developer a good career?

An AI Agent Developer is a promising career path in the technology industry, focusing on creating intelligent systems that can perform tasks autonomously. It typically requires skills in programming, machine learning, and AI frameworks, with strong job growth prospects due to increasing demand for automation and AI solutions. The role offers opportunities for innovation and specialization in emerging technologies.

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

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

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

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

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

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

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

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

Ai Agent Developer jobs near you
Infographic showing various Ai Agent Developer 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 $49,620 per year, or $23.9 per hour.

Senior Staff Machine Learning Engineer, AI Agent Platform

GEICO

New York, NY • On-site

$114K - $157K/yr

Full-time

Re-posted 11 days ago

GEICO rating

8.0

Company rating: 8.0 out of 10

Based on 363 frontline employees who took The Breakroom Quiz

166th of 310 rated insurance

Job description

Why Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
Sr. Staff Machine Learning Engineer - AI Agent Platform
Position Description
GEICO is seeking an exceptional Sr. Staff ML Engineer to join our AI organization. You will serve as a technical leader and key architect for GEICO's virtual assistant platform that elevates productivity for 30K+ internal associates and the customer experience for millions of policyholders.
Sr. Staff AI Agent Platform Engineers set the technical vision and drive the architecture of multi-tenant services that power the building, testing, deployment, and hosting of LLM-based AI agents. This includes multi-agent orchestration, standardized interoperability protocols (MCP, A2A), AI agent skill ecosystems with marketplace and governance capabilities, production-grade harness & context engineering, and guardrail frameworks for safe autonomous operation at enterprise scale.
Responsibilities
  • Technical Vision & Architecture: Define the long-term technical strategy for GEICO's AI agent platform - including multi-agent orchestration, AI agent lifecycle management, evaluation frameworks, skill registries and marketplace, and workflow orchestration.
  • AI Agent Skills & Marketplace: Architect an enterprise skill ecosystem - reusable capability packages that encode domain expertise and workflows into portable, discoverable modules. Build and govern an internal skill marketplace with versioning, security vetting, approval workflows, progressive disclosure loading, and usage analytics.
  • Harness & Context Engineering: Lead design of production-grade AI agent harnesses (tool dispatch, context management, error recovery, session state, fine-grained Authn/AuthZ) that makes AI agents reliable for long-running workflows. Apply feedforward guides (linters, architecture constraints, spec-driven validation) and feedback sensors (test execution, LLM-as-judge) mixing computational and inferential controls. Design context engineering systems that treat the LLM context window as a managed resource - memory hierarchies, RAG pipelines, context compaction, scratchpads, and dynamic skill/tool loading.
  • Platform & Interoperability: Own high-performance platform components powering end-to-end agentic workflows: MCP server/registry management, A2A communication infrastructure, prompt management, workflow orchestration, guardrail enforcement, and observability pipelines.
  • AI Safety & Governance: Establish AI agent governance frameworks including bounded autonomy, human-in-the-loop escalation, audit trails, prompt guardrails, and RBAC/ABAC access controls. Extend governance to skill-level security - vetting published skills for hidden payloads, injection vectors, and data exfiltration risks.
  • Leadership: Collaborate cross-functionally with data scientists, engineers, product managers, and designers. Mentor engineers at all levels. Elevate AI engineering best practices - including harness engineering patterns and agentic coding tools - across the company.

Basic Qualifications
  • 8+ years of professional software development experience with at least two languages (Java, C++, Python, Go, or C#).
  • 6+ years designing and building AI/ML platforms using open-source/cloud-agnostic components (Elasticsearch, Qdrant, Kafka, PostgreSQL, MongoDB, Spark, Ray, Temporal, Redis, Neo4j, etc.).
  • 5+ years managing end-to-end SDLCs (CI/CD, Kubernetes, testing, monitoring, production support).
  • 4+ years building training, fine-tuning, and inferencing systems for LLMs, especially on GPU infrastructure.
  • 3+ years designing and operating multi-agent or agentic AI systems in production.
  • Strong understanding of context engineering - memory architectures, RAG, context compaction, and dynamic information management for LLMs.
  • Demonstrated track record leading technical initiatives, setting architectural direction, and mentoring across teams.
  • Bachelor's degree in CS, Engineering, or related field; advanced degree highly desirable.

Preferred Qualifications
  • 6+ years with cloud providers (Azure, AWS), including container orchestration and GPU compute.
  • 3+ years building agentic workflows with open-source and proprietary LLMs (Llama, Qwen, Claude, Gpt, etc.).
  • Hands-on experience with MCP and A2A protocols - MCP server development, AI agent card discovery, task delegation patterns.
  • Experience with harness engineering. (tool dispatch, error recovery, session state, sub-agent coordination, planning & reasoning)
  • Experience designing AI agent skill systems: building and governing reusable skill packages, skill marketplaces with discovery, versioning, security vetting, and progressive disclosure.
  • Experience with context engineering at scale: memory hierarchies, RAG optimization, compaction/summarization, state isolation, etc.
  • Experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI).
  • Experience with LLM observability & evaluation platforms (LangSmith, Arize Phoenix, Langfuse).
  • Experience building guardrail systems (prompt injection defense, PII detection, skill-level security auditing).
  • Understanding of AI safety, model governance, and regulatory compliance in regulated industries.

If you are passionate about pushing the boundaries of generative AI platforms, thrive in a hands-on technical leadership role, and enjoy solving complex, large-scale problems, we encourage you to apply!
Annual Salary
$130,000.00 - $300,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life's twists and turns with innovation and integrity.
Great Careers:Personalized development programs, mentorship, and certification assistance.
Great Culture:Inclusive and collaborative culture rooted in shared success.
Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

What GEICO employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

GEICO logo

About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936

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