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IT Services, Consulting

Generative AI Engineer

Basking Ridge, New Jersey, United StatesHybridFull TimePosted 2 months agoVisa sponsorship available

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Role summary

We are seeking a Generative AI Engineer with 5+ years of experience to join our hybrid team. The role involves architecting and deploying stateful agentic systems using LangGraph and LangChain, with a focus on long-running workflows and persistent state management via PostgreSQL. You will develop high-performance APIs using Python (FastAPI, Pydantic) for AI workloads, optimize RAG pipelines with Elasticsearch and advanced re-ranking techniques, and deploy containerized services on GCP, integrating with Vertex AI. Experience with React.js for frontend integration and AI observability tools like Galileo is also required. This role emphasizes engineering excellence and adapting SDKs for enterprise-grade features.

Role: Generative AI Engineer

Location: Basking Ridge NJ

Experience: 5+ years

Work mode: Hybrid (3 days WFO)

Core Responsibilities

  • Architect Agentic Systems: Design and deploy stateful agents using LangGraph and LangChain, focusing on long-running workflows with unified PostgreSQL checkpointers for persistent state management.
  • Develop High-Performance APIs: Build robust backends using Python (Asyncio), FastAPI, and Pydantic to handle high-concurrency AI workloads.
  • Optimize Retrieval (RAG): Implement advanced RAG pipelines using Elasticsearch (Vector Search), cross-encoders for re-ranking, and custom embedding services.
  • Infrastructure & Deployment: Deploy containerized AI services on Google Cloud Platform (GCP), integrating seamlessly with Google Vertex AI.
  • Engineering Excellence: Adapt and contribute to internal SDKs that extend open-source frameworks to provide enterprise-grade observability, model routing, and state persistence.
  • Frontend Integration: Build intuitive UIs in React.js to allow users to interact with complex agentic outputs and FastAPI backends.

Technical Requirements

Python & Backend Excellence

  • Expertise in Object-Oriented Programming (OOP) and asynchronous patterns (async/await).
  • Deep experience with FastAPI and data validation using Pydantic models.

GenAI & Agentic Frameworks

  • LangChain/LangGraph: Proven track record of building stateful agents.
  • Protocol Knowledge: Familiarity with Agent-to-Agent (A2A) protocols for multi-agent coordination and Model Context Protocol (MCP) for building dedicated tool servers.
  • Observability: Experience using frameworks like Galileo for AI evaluation and monitoring.

Data & Search Layer

  • PostgreSQL: Proficiency in managing task coordination, state storage, and unified connection pooling.
  • Elasticsearch: Practical knowledge of document indexing, Vector DBs, and retrieval strategies (Similarity search, Hybrid search).

Cloud & DevOps

  • Hands-on experience with GCP, specifically deploying containerized services (Cloud Run/GKE).
  • Integration experience with Vertex AI model ecosystems.

Regards,

Manvendra Singh

manvendra.singh1@incedoinc.com

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