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# Agentic AI / Python Developer - AWS

- **Company:** The Hire
- **Location:** Woodbridge Township, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Applications Architecture, Python (Programming Language), Search Technologies, Software Deployment, Large Language Models, Multi-Agent Systems, Build Management, AI Platforms, Data Management, Machine Learning Operations, Virtual Agents
- **Published:** August 22, 2026
- **Apply:** https://www.dice.com/job-detail/35c00535-5871-46da-b7ea-6bbe68d61cd7

## About the Role

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., * 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.

## Description

* 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.


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