AI-native B2B SaaS Scale-up
Our client is a fast-growing European B2B software company helping distributed organisations automate high-volume operational and compliance-heavy workflows.
Its platform combines enterprise data, documents, external systems and AI agents to automate work that historically required people to move information between emails, PDFs, legacy applications and back-office systems.
The company has passed the experimental stage. Customers already use AI-powered workflows in production.
What belongs in the prompt, retrieval layer or deterministic software? As Lead Data & AI Engineer , you'll be the senior technical reference for a small group of Data and AI Engineers.
Expect approximately 60-70% hands-on engineering , with the rest spent on architecture, technical direction, mentoring and working with Product, Security and Data.

Decide where deterministic software should replace probabilistic model behaviour.
Design AI-ready data architectures and interfaces between enterprise data and AI services.
Own LLMOps/MLOps patterns for versioning, testing,



rollout and rollback.
Partner with Security and Legal on access control, privacy, responsible AI and EU regulatory requirements.
Core: Python, FastAPI, SQL, Git
AI: Azure OpenAI, Azure AI Foundry, LangGraph / Semantic Kernel
Retrieval: embeddings, vector/hybrid search, re-ranking
Data & ML: Databricks, MLflow
Platform: containers, Kubernetes, Terraform, CI/CD
Observability: distributed tracing, AI eval tooling, production monitoring
We care more about whether you understand the underlying engineering problem than whether you've used one particular framework.

7+ years in software, data or ML engineering , with meaningful production ownership.
~ Strong Python/software-engineering fundamentals.
~ Hands-on experience taking an LLM, RAG or agent-based system beyond prototype stage and into production.
~ Experience with cloud architecture, APIs and distributed systems.
~ A strong evaluation mindset: “it seem

📌 Lead Data Engineer (España)
🏢 Value Crew
📍 España