Why we're hiring:
Delvo is building the agentic intelligence layer for strategic procurement. We need an AI Engineer to design reliable LLM workflows and agent systems that work in real enterprise environments, not just demos.
Responsibilities:
Build LLM workflows for retrieval, tool use, structured outputs, and multi-step reasoning
Design agent orchestration with tools, control flows, retries, safety checks, and graceful degradation
Develop evaluation & monitoring infrastructure with golden datasets, online metrics, tracing, and regression detection
Implement enterprise integrations with ERPs and data sources with strong observability
Optimize cost & latency via caching, streaming, batching, and intelligent model routing
Collaborate with design and forward-deployed engineers to ship AI that works for real users
Ideal candidate:
Proficient in TypeScript & Python across backend and product-adjacent work (Next.js, workers, APIs)
Hands-on experience with LLMs: RAG, function calling, tools, structured parsing, guardrails, streaming
Familiar with modern AI stack: Vercel AI SDK, OpenAI/Azure, embeddings, vector stores, Langfuse or similar
Strong evals & quality mindset: define tasks, gold data, and success criteria; prevent regressions systematically
Bonus: data pipelines, ERP integrations, procurement domain knowledge
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