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# Fullstack Lead AI Engineer

- **Company:** Incedo Inc
- **Location:** Bernards, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Databases, Software Debugging, Distributed Systems, Python (Programming Language), Service Development Studio, TypeScript, Workflow Management Systems, Pinecone, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Backend, Agentic-AI, AI Platforms, Production Code, FAISS, Restful APIs, Microservices
- **Published:** November 8, 2026
- **Apply:** https://www.thejobnetwork.com/job/88749395-0117-4830-8dac-e42b57d3b138/fullstack-lead-ai-engineer

## About the Role

* 5+ years building and shipping production software, with strong Python development, problem-solving, and debugging skills
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 * Full-stack proficiency: modern front end (React / TypeScript) plus backend service development
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 * Hands-on Generative AI experience: LLMs, prompt engineering, and agent-based architectures
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 * Experience with agentic frameworks and workflow orchestration (LangGraph / LangChain, ADK, or similar)
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 * Hands-on cloud and managed AI platforms (GCP / Vertex AI, or AWS / Azure equivalents) - deployment, pipelines, endpoints
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 * Experience building RAG pipelines and working with vector databases (Pinecone, FAISS, etc.)
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 * Solid knowledge of REST APIs, microservices, databases, and distributed systems
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 * Demonstrated technical leadership: setting direction, reviewing work, and mentoring engineers
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## Description

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You will own the end-to-end technical build of an AI-powered platform that ingests dense technical and engineering documentation, validates it against jurisdiction- and standard-specific knowledge bases, reasons about completeness and risk, scores confidence with clear explainability, and keeps a human in the loop for review and approval. You will architect and write production code across all three layers - a responsive front end, resilient Python services, and orchestrated GenAI agents - while setting direction and raising the quality bar for a small engineering pod.