We're seeking an experienced AI Engineer to design and deploy production-grade LLM applications and AI agents. You'll transform complex AI solutions from prototype through production, building scalable agentic workflows and intelligent systems that drive real-world impact.

Key Responsibilities

Design and implement intelligent agents and workflows using frameworks like LangChain, LangGraph, or similar technologies

Engineer sophisticated multi-step workflows incorporating tool calling, structured outputs, state management, memory systems, and agile loops

Develop robust RAG systems including embeddings, vector search, retrieval optimization, and intelligent reranking

Build comprehensive evaluation frameworks to assess accuracy, reliability, latency, and cost efficiency

Establish production-ready observability, guardrails, logging, and error handling mechanisms

Own the end-to-end journey of AI solutions from initial prototype to full-scale production deployment

Required Qualifications

Python proficiency is essential

Robust software engineering fundamentals: OOP principles, asynchronous programming, REST APIs, and robust error handling





Proven hands-on experience with LLM and AI agent development

Expertise in prompt engineering, loop design, and agentic graph architecture

Advanced knowledge of tool calling, function calling, structured outputs, and context/memory management

Deep understanding of RAG systems, embeddings, vector search, and retrieval techniques

Production experience with LangChain, LangGraph, LlamaIndex, or equivalent frameworks

Proficiency with REST APIs and backend service architecture

Experience with vector databases (pgvector, Pinecone, Weaviate, Qdrant, or similar)

Hands-on Docker and cloud infrastructure expertise

Preferred Qualifications

Experience with LangSmith or equivalent observability platforms

Knowledge of Model Context Protocol (MCP)

Expertise in agent evaluation, benchmarking, and automated testing

Familiarity with event-driven and asynchronous architectural patterns

Experience

3–6+ years of software engineering experience with hands-on LLM and Generative AI development.

📌 Ai Engineer Gurugram
🏢 PocketPills
📍 Gurugram