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Agentic AI / Python Developer – AWS

Hire Tech ServicesEdison, NJ🇺🇸United StatesPosted 21 Aug 2026

Why This Role Stands Out

This hybrid role offers an exciting opportunity to develop cutting-edge agentic AI workflows using Python and AWS, positioning you at the forefront of AI innovation. You'll thrive here if you possess strong Python engineering fundamentals and hands-on experience with LLMs, LangChain, and AWS AI services, making this a fantastic chance to expand your skills and contribute to impactful projects.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Edison, NJ, United States
Posted
1 week ago
AWSMLOpsLLMPython

Job Description

Agentic AI / Python Developer – AWS

Location: Iselin, NJ
Experience: 8–10 years

Job Overview

We are seeking an experienced Agentic AI / Python Developer to design and build multi-agent, LLM-powered workflows using Python and AWS.

The ideal candidate will have strong Python engineering fundamentals, hands-on experience with agentic AI, LangChain/LangGraph, AWS AI services, RAG, vector databases, and production deployment of AI applications.

Key Responsibilities

  • Design and build agentic AI workflows involving planning, reasoning, tool use, and orchestration.
  • Develop LLM-powered applications and multi-agent systems using Python.
  • Implement AI pipelines using LangChain, LangGraph, and AWS AI services.
  • Integrate AI agents with enterprise APIs, data platforms, and vector stores.
  • Design and implement RAG pipelines, embeddings, and vector search.
  • Optimize prompts, memory, orchestration, and inference performance.
  • Deploy, monitor, troubleshoot, and harden AI services on AWS.
  • Establish development standards and best practices for agentic AI applications.
  • Collaborate with distributed engineering teams and mentor other developers.

Required Skills

  • 8–10 years of software or AI engineering experience.
  • Strong Python development skills.
  • Hands-on experience building Agentic AI / multi-agent systems.
  • Strong experience with LangChain and/or LangGraph.
  • Experience with AWS AI services, including Amazon Bedrock.
  • Experience with RAG, embeddings, vector databases, and vector search.
  • Experience deploying AI services into production environments.
  • Strong understanding of LLM application architecture and orchestration.

Preferred Skills

  • Experience with insurance or underwriting platforms.
  • Experience with AWS AgentCore or related agentic AI services.
  • AWS certification.
  • Experience with MLOps / LLMOps.
  • Experience optimizing production AI workloads.

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