AI Engineer (Agentic AI & LLM Applications)

**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 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 * Strong 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.