Senior AI Agent Engineer — Build Production Agentic AI

TMS LLC

Jersey City (NJ)

Hybrid

USD 130,000 - 190,000

Full time

14 days+

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Job summary

TMS LLC in New Jersey is seeking a hands-on Senior AI Software Engineer focused on Agentic AI systems. You will design, build and deploy production-grade AI Agents using Python with FastAPI, multi-step reasoning, and tool orchestration for enterprise-scale solutions.

You will work on RAG pipelines, agent architectures, and secure AI services, collaborating with Product, Data Science, and Platform teams to deliver scalable AI platforms in a hybrid, in-person interview environment.

Qualifications

  • 5–10+ years of software engineering experience.
  • Strong Python backend experience (FastAPI preferred).
  • Experience building production AI Agents / agentic AI applications.
  • Experience with LangGraph, LangChain, CrewAI, AutoGen or similar AI Agent frameworks.

Responsibilities

  • Design and develop enterprise-scale Agentic AI solutions.
  • Build AI Agents capable of planning, reasoning, tool usage, and multi-step task execution.
  • Develop reusable AI Agent frameworks, SDKs, and RAG pipelines.
  • Build secure AI services with guardrails, workflows, retries, and fault tolerance.
  • Implement production LLMOps, monitoring, observability, and performance optimization.
  • Collaborate with Product Managers, Data Scientists, and Engineering teams to deliver scalable AI platforms.

Skills

Python
FastAPI
Backend development
Agent frameworks
5–10 years exp

Tools

LangGraph
LangChain
CrewAI
AutoGen

Job description

TMS LLC in New Jersey is seeking a hands-on Senior AI Software Engineer focused on Agentic AI systems. You will design, build and deploy production-grade AI Agents using Python with FastAPI, multi-step reasoning, and tool orchestration for enterprise-scale solutions.

You will work on RAG pipelines, agent architectures, and secure AI services, collaborating with Product, Data Science, and Platform teams to deliver scalable AI platforms in a hybrid, in-person interview environment.

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