AI Systems Engineer

About the role

We are building a layered AI intelligence system — a multi-layer agent architecture with a dynamic router, context engine, execution loop, verification layer, and eval feedback cycle — designed to handle long-horizon business tasks that cannot be accomplished in a single model inference.

We are looking for engineers who understand that building with LLMs is not the same as building conventional software — and who find that difference interesting, not frustrating. You will own one or more layers of our AI system, from design through production, and iterate on them based on real-world failures.

What you will own

You will be matched to one of these layer areas based on your background and interest:

• Context engine: design and operate the RAG pipeline, memory architecture, MCP tool integrations, and prompt library that give the system company-specific knowledge at inference time

• Execution loop: build the action-observe-act cycle, tool integrations, state management, and logging infrastructure that let the system pursue multi-step goals

• Verification layer: design the checker model, confidence scoring, and human escalation logic that prevents the system from committing to bad outputs

What we are looking for

• 1–3 years of experience building real systems that use LLMs — not just calling an API, but designing context, handling failures, and shipping to users

• Strong software engineering fundamentals: you write clean, testable code and you think about what happens when things break

• Genuine curiosity about how LLMs behave: you have noticed patterns in how models succeed and fail, and you have opinions about why

• Ability to move quickly and iterate: we are building in a new space and the path forward involves learning from production

Nice to have

• Experience with vector databases, embedding models, or retrieval systems

• Familiarity with agentic frameworks: LangChain, LlamaIndex, AutoGen, or similar

• Experience designing prompts systematically — treating prompt design as an engineering discipline

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