25 Oct
|
PocketPills
|
Gurugram
25 Oct
PocketPills
Gurugram
About the Role : 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 dynamic loops.- Develop robust RAG systems including embeddings, vector search, retrieval optimisation, 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.- Solid 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.Total Experience : - 3 - 6+ years of software engineering experience with hands-on LLM and Generative AI development. (ref:hirist.tech)
📌 PocketPills - AI Engineer - LLM & Agentic AI (Gurugram)
🏢 PocketPills
📍 Gurugram