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Ai Agent Engineer Jobs in Basking Ridge, NJ (NOW HIRING)

eClercx

Senior AI Developer

Manhattan, NY · On-site

$125K - $140K/yr

Senior AI Developer Location: New York, United States Type: Full-time Department: Technology Job ... Build and orchestrate multi-agent pipelines -including supervisor agents, collaborative agent ...

TMS

Senior Agentic AI Engineer

Iselin, NJ · On-site

$106K - $145K/yr

Design and implement AI Agent architectures (planner/executor, multi-step reasoning, tool ... engineering experience * Hands-on experience building and deploying LLM agents or tool-using AI ...

Decagon

Customer Engineer, Agent Builder

New York, NY · On-site

$175K - $230K/yr

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver ... About the Role As a Customer Engineer, Agent Builder , you will be responsible for end-to-end ...

TWG Global AI

Senior Engineer, AI Engineering

New York, NY · On-site

$190K - $200K/yr

The Role We're looking for a Senior Engineer, AI Engineering with deep experience across the stack ... Design, build, and maintain AI agent-based systems that perform multi-step tasks using defined ...

Datalinx AI

Senior Full-Stack Engineer

Manhattan, NY · On-site

... agent performance. • Integrate AI agents with client data systems (Databricks, Snowflake) for ... and other engineering disciplines to enable business success for customers. • Document best ...

Arize AI

Forward Deployed AI Engineer, East

New York, NY · On-site +1

$155K - $190K/yr

Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to ...

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All JobsAi Agent Engineer JobsAi Agent Engineer Jobs in Basking Ridge, NJ

Ai Agent Engineer information

See Basking Ridge, NJ salary details

$26

$55

$79

How much do ai agent engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for ai agent engineer in Basking Ridge, NJ is $55.27, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $64.18 per hour, depending on experience, location, and employer.

What is an AI Agent engineer?

An AI Agent Engineer designs, develops, and optimizes autonomous AI agents that can perceive, reason, and act within digital or real-world environments. They work with machine learning, reinforcement learning, and natural language processing to build intelligent systems that interact dynamically with users and other agents. These engineers often integrate AI models with APIs, databases, and software applications to create functional and scalable AI-driven solutions. Their role bridges software engineering and artificial intelligence, ensuring agents operate efficiently and adaptively in various use cases.

What are some typical challenges faced by AI Agent engineers in their day-to-day work?

AI Agent Engineers often encounter challenges such as optimizing agent performance for real-time environments, integrating new algorithms without disrupting existing systems, and ensuring their models can handle diverse and dynamic real-world data. Troubleshooting unexpected behaviors or edge cases and keeping up with rapidly evolving research in artificial intelligence can also be demanding. Working closely with product managers, data scientists, and software developers helps address these challenges, making collaboration and adaptability key components of daily tasks. Overcoming these issues offers valuable learning opportunities and contributes to the growth of robust, innovative AI solutions.

What are the key skills and qualifications needed to thrive as an AI Agent engineer?

To excel as an AI Agent Engineer, you need a robust background in computer science, machine learning, and software engineering, often supported by a degree in a STEM field. Familiarity with programming languages like Python, relevant AI frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are typically expected, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, effective communication, and teamwork skills are essential soft skills for collaborating on complex AI projects. These competencies ensure you can design, implement, and refine intelligent agents that meet real-world challenges and deliver business value.

What job categories do people searching Ai Agent Engineer jobs in Basking Ridge, NJ look for? The top searched job categories for Ai Agent Engineer jobs in Basking Ridge, NJ are:
What cities near Basking Ridge, NJ are hiring for Ai Agent Engineer jobs? Cities near Basking Ridge, NJ with the most Ai Agent Engineer job openings:
Ai Agent Engineer jobs near you
Infographic showing various Ai Agent Engineer job openings in Basking Ridge, NJ as of June 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $114,961 per year, or $55.3 per hour.

Senior AI Developer

eClercx

Manhattan, NY • On-site

$125K - $140K/yr

Full-time

Re-posted 22 days ago

Job description


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 financial institution-with strong expertise in building intelligent AI agents and components that can reason, plan, and act autonomously. The ideal candidate will have hands-on experience developing scalable multi-agent AI systems using modern orchestration frameworks such as LangChain and LangGraph, integrating agentic workflows end-to-end, and shipping production-grade AI applications.
Responsibilities
  • Design and develop AI agents and autonomous multi-agent systems using modern agentic frameworks including LangGraph and LangChain, with the ability to architect agent graphs, define node transitions, and manage stateful agent workflows
  • Build and orchestrate multi-agent pipelines-including supervisor agents, collaborative agent networks, and hierarchical agent architectures-to solve complex, multi-step financial use cases
  • Implement guardrails, reasoning workflows, and ReAct-based patterns within LangChain/LangGraph to improve reliability, decision-making, and agent safety
  • Develop memory management (short-term, long-term, episodic) and tool-use capabilities (MCP, LangChain Tools, custom tool integrations) for AI agent systems
  • Leverage LangGraph's stateful graph execution model to build resilient, interruptible, and human-in-the-loop agentic workflows
  • Integrate LLM-powered agents with external APIs, databases, and enterprise data platforms via LangChain's retrieval, routing, and chain composition primitives
  • Partner closely with prompt engineers, data scientists, and platform teams to optimize AI application performance across multi-agent deployments
  • Build and maintain scalable Python-based services, APIs, and microservices that serve as agent execution environments and tool backends
  • Develop and support AIOps capabilities and CI/CD pipelines for AI agent deployment, versioning, and monitoring (including LangSmith or equivalent observability tooling)
  • Work with modern data platforms including Snowflake, Databricks, and Lakehouse architectures as grounding and tool-use data sources for agents
  • Ensure AI agent solutions are scalable, secure, observable, and production-ready

Eligibility Requirements
  • 8+ years of overall software engineering experience, with a strong focus on AI/ML systems in recent years
  • Hands-on production experience with LangChain - including chains, agents, tools, retrievers, memory modules, and prompt templates
  • Hands-on production experience with LangGraph - including stateful graph construction, conditional edges, checkpointing, human-in-the-loop interrupts, and multi-agent graph topologies
  • Demonstrated experience designing and deploying multi-agent systems - including orchestrator/worker patterns, agent-to-agent communication, task delegation, and shared state management
  • Experience implementing guardrails, ReAct patterns, and chain-of-thought reasoning within agentic pipelines
  • Strong understanding of agent memory architectures (in-context, vector-store-backed, episodic) and tool-use patterns (function calling, MCP, LangChain tool wrappers)
  • Familiarity with LangSmith or equivalent observability/tracing platforms for debugging and monitoring agent behaviour in production
  • Strong Python engineering skills including async programming, APIs, and microservices
  • Experience with AIOps and CI/CD pipeline development for AI agent deployment and lifecycle management
  • Hands-on experience with Snowflake, Databricks, and Lakehouse architectures
  • Strong understanding of scalable distributed systems and cloud-native application development
  • Strong communication and cross-functional collaboration skills
  • Nice to Have
    • Experience with other agentic frameworks such as AutoGen, CrewAI, or OpenAI Assistants API
    • Familiarity with LangGraph Cloud or self-hosted LangGraph Server for agent deployment
    • Background in financial services AI applications (risk, compliance, trading, operations)
    • Experience with vector databases (Pinecone, Weaviate, pgvector) as long-term memory stores for agents
    • Contributions to open-source LangChain/LangGraph ecosystem

In the US, the target base salary for this role is $125,000-$140,000. Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. We expect the majority of candidates who are offered roles at our company to fall throughout the range based on these factors
How to Apply
  • Click "Apply Now" to submit your resume through our career site
  • Be sure to include any relevant experience that aligns with the role.
  • Qualified candidates will be contacted by a member of our recruitment team for next steps

About eClerx
eClerx is a leading provider of productized services, bringing together people, technology and domain expertise to amplify business results.
The firm provides business process management, automation, and analytics services to a number of Fortune 2000 enterprises, including some of the world's leading financial services, communications, retail, fashion, media & entertainment, manufacturing, travel & leisure, and technology companies. Incorporated in 2000, eClerx is traded on both the Bombay and National Stock Exchanges of India. The firm employs more than 19,000 people across Australia, Canada, France, Germany, Switzerland, Egypt. India, Italy, Netherlands, Peru, Philippines, Singapore, Thailand, the UK, and the USA.
For more information, visit www.eclerx.com
You can also find us on:
https://www.linkedin.com/company/eclerx/
https://www.indeed.com/cmp/Eclerx/about
https://www.glassdoor.com/eClerx
eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. We are also committed to protecting and safeguarding your personal data. Please find our policy here

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