Software Engineer (Python / C#, Mid) • AI & RAG

Overview

We’re partnering with an innovative start-up to build the factories of tomorrow. They’re redefining “smart” for manufacturing SMEs with Industrial IoT, Data, AI and cloud—moving from visibility, to optimization, to LLM-powered agents that continuously improve production.

In this position you’ll build LLM-based workflows and agentic features for real factories : ship clean services in Python / C#, wire up retrieval (embeddings + vector / hybrid search), add tool / function calling so models can act, and iterate with domain experts. We value self-driven engineers who communicate transparently (“I don’t know yet—can we figure it out together?” beats over-promising).

Location : Spain (remote-first). Preference for North of Spain (Galicia, Asturias, Cantabria, Basque Country). No profiles outside Spain. Occasional travel to Switzerland.

Process : Intro → team chat → tech deep-dive → short practical → final chat.

WHAT YOU'LL DO

• Build services & APIs in Python and C# (.NET), integrating with IoT / ERP / MES and cloud components (Azure preferred).
• Design & implement LLM workflows and agents : tool / function calling, retrieval pipelines, prompt / JSON orchestration, and safe control flow (graphs / state).
• Own quality end-to-end : tests, reviews, CI / CD, telemetry, tracing / logging; guardrails and simple evals; keep things observable and debuggable.
• Evaluate AI in production : add offline / online evaluation, benchmarks, and safety checks; measure value, not just accuracy.
• Collaborate transparently : give realistic estimates, surface risks early, and ask for help when needed.
• Continuously improve : iterate with domain experts to turn prototypes into stable, maintainable services.

In your first 90 days you might

WHAT YOU BRING

Nice to have

HOW WE WORK (AND WHY IT\'S FUN)

BENEFITS

READY TO MAKE AN IMPACT?

We’re looking for someone who thrives in a fast-paced, innovation-driven environment — someone adaptable, curious, and ready to solve real problems with smart, modern tools. If that sounds like you, we’d love to hear your story.

Send your CV and 1–2 links (GitHub, demo, or brief write-up of an LLM workflow you built).

No perfect match? If you bring strong Python / C# fundamentals and real curiosity about LLM systems, we still want to hear from you.

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