Overview Were partnering with an innovative start-up to build the factories of tomorrow. Theyre 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 youll 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 dont 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.
Tasks
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
Ship a small Python or C# service that talks to an ERP / MES.
Launch an agentic workflow (2 tools JSON I / O) with retries tracing / metrics lightweight evals & guardrails.
Productionize (CI / CD auth alerts); add knowledge access only if needed (RAG or deterministic) and track value (success rate p95).
How we work (and why its fun)
AIfirst pragmatismdriven: Use AI where it makes a real difference; use classic engineering where its better.
Small team big ownership: Youll have autonomy clear goals and direct impact on customers.
Real industry impact: Your code helps reduce waste save energy and make factories more resilient.
Requirements
35 years of software engineering experience (or equivalent impact).
Strong Python and C# / .NET skills; youve built and shipped APIs / services.
Youve shipped at least one LLM product or serious POC (cloud or open-source models).
Experience with at least one LLM orchestration framework (e.g. LangGraph / LangChain others welcome).
Solid with datastores (SQL / NoSQL) and event / streaming basics.
Hands-on with RAG and a vector / hybrid search backend (e.g. Postgres / pgvector Qdrant / Weaviate Elasticsearch / Azure AI Search).
Solid with SQL (schemas migrations); working knowledge of NoSQL / event / streaming basics.
Cloud & containers: Docker; CI / CD (GitHub Actions / Azure DevOps); basic Kubernetes / Azure or willingness to learn quickly.
Mindset: self-driven outcome-oriented and radically transparent in communication.
Language: English (min. C1)
Nice to have
Industrial / edge exposure (OPC UA MQTT) queues / streams or time-series data.
ML engineering basics (PyTorch / TensorFlow) feature stores data pipelines.
Observability (OpenTelemetry Grafana) security and role-based access in data / AI systems.
German language skills.
Benefits
mind. 23 days of holidays
Learning budget (courses / conferences)
Top-tier hardware
Flexible hours
Remote work (default)
Occasional travel to Switzerland
Yearly strategic off-site
Ready to Make an Impact
Were 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 wed love to hear your story.
Send your CV and 12 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.
Key Skills
APIs, Docker, Jenkins, REST, Python, AWS, NoSQL, MySQL, JavaScript, Postgresql, Django, GIT
Employment Type : Full Time
Experience : years
Vacancy : 1
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