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