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

- 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.

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