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
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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