About the role

The Context Engineer is a specialist software engineering role focused on ensuring that AI systems receive the right information, in the right structure, at the right time to produce reliable, high‑quality outputs.
While similar in seniority to a Software Engineering Specialist, this role differs fundamentally in skillset and ways of working. Instead of writing application logic or services, the Context Engineer designs and engineers the context layer that powers AI agents—system prompts, tool definitions, memory strategies, and retrieval pipelines—across the software development lifecycle (SDLC).
This role is critical to making AI‑enabled delivery predictable, scalable, and safe.

What you’ll be doing

Essential Skills / Experience

• Strong experience in prompt engineering and context design for LLM‑based systems.
• Solid understanding of information architecture and structuring complex knowledge.
• Hands‑on experience with RAG stacks, including vector databases, embeddings, and re‑ranking approaches.
• Deep understanding of token‑level reasoning, context windows, and model constraints.
• Exceptional written communication skills—clear, precise, and unambiguous writing is critical.
• Background in software engineering, data engineering, or platform engineering.
• Experience working with AI agents across different SDLC phases.
• Familiarity with evaluation frameworks for LLM outputs.
• Experience operating in regulated or enterprise environments.