Lead AI Platform Engineer for GenAI & Production

Value Crew; Barcelona; Híbrido; EUR 75.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Private health insurance

Equity package

Descripción de la vacante

Value Crew seeks a Lead Data & AI Engineer to define how an AI system should operate in production. You’ll be the senior technical reference for a small team, delivering 60–70% hands-on engineering while steering architecture with Product, Security and Data.

You’ll own end-to-end AI system design, tooling, evaluation and observability, shaping deterministic software and cost-aware decisions for scalable production workflows.

Formación

• 7+ years of software, data or ML engineering with production ownership
• Strong Python/software-engineering fundamentals
• Hands-on experience taking LLM/RAG/agent-based systems to production
• Deep understanding of LLM failure modes
• Experience with cloud architecture, APIs and distributed systems
• Ability to reason across data, ML and software architecture
• Experience making technical decisions involving security, privacy, reliability and cost
• Ability to explain complex systems to engineers, Product and business stakeholders
• Strong professional English

Responsabilidades

• Define the architecture of production AI systems built around LLMs, retrieval and agentic workflows
• Design multi-step agents, tool use, function calling, memory and state-management patterns
• Decide where deterministic software should replace probabilistic model behaviour
• Build reliable RAG systems covering ingestion, chunking, embeddings, retrieval, re-ranking and grounding
• Design model abstraction and routing to avoid lock-in to one provider
• Introduce systematic AI evaluation: offline datasets, regression suites, production metrics
• Build observability covering traces, prompts, retrieval results, model responses, latency, cost and failures
• Implement guardrails, structured output validation, retries, fallbacks and human review for higher-risk actions
• 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 requirements
• Review architecture and code while shipping production code yourself
• Mentor engineers and help define technical standards
• Translate business problems into engineering decisions, not just AI as a requirement

Conocimientos

7+ years experience

Python

leadership

production ownership

English communication

Herramientas

Azure OpenAI

Azure AI Foundry

LangGraph

Semantic Kernel

Databricks

MLflow

Kubernetes

Descripción del empleo

Value Crew seeks a Lead Data & AI Engineer to define how an AI system should operate in production. You’ll be the senior technical reference for a small team, delivering 60–70% hands-on engineering while steering architecture with Product, Security and Data.

You’ll own end-to-end AI system design, tooling, evaluation and observability, shaping deterministic software and cost-aware decisions for scalable production workflows.