Generative AI Engineer
About The Position
Role: Generative AI Engineer Location: Basking Ridge NJExperience: 6+ 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 RequirementsPython & 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.
Requirements
- Expertise in Object-Oriented Programming (OOP) and asynchronous patterns (async/await).
- Deep experience with FastAPI and data validation using Pydantic models.
- 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.
- 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).
- Hands-on experience with GCP, specifically deploying containerized services (Cloud Run/GKE).
- Integration experience with Vertex AI model ecosystems.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1-10 employees
