This position is at Bain begin contributing to architecture discussions at the program level.

Actively mentor and develop more junior engineers (Associates, Senior Associates, Leads), sharing knowledge on RAG, agents, prompt engineering, and AI safety best practices.

Contribute to a culture of technical excellence, learning, and inclusion within the AIS engineering community.

What We're Looking For (Qualifications) 6 -11+ years in software engineering, ML engineering, or applied AI roles, with significant hands-on building experience.

Demonstrated experience shipping generative AI features or systems end-to-end, from prototyping through production, with ownership of one or more full workstreams.

Emerging leadership presence: a track record of stepping up to guide peers, coordinate workstreams, and drive technical decisions within a team.





Strong communication skills — able to explain complex technical concepts clearly to non-technical collaborators and client stakeholders.

Solid prompt engineering and context engineering skills; familiarity with conversation design principles.

Strong working knowledge of evaluation design, experimentation frameworks, and data labeling strategies for LLM applications.

Solid experience with: RAG architectures (vector-based retrieval; hybrid or graph-based approaches a plus) Agentic patterns (tool use, routing, memory management; multi-agent systems a plus) ReAct, RLAIF, and other HITL + feedback loop methodologies AI-specific tools a demonstrated appetite for developing others.

Experience in client-facing consulting or enterprise transformation environments is a strong plus.

Working Model

📌 Engineering Manager - Hybrid (Madrid)
🏢 BainEspaña
📍 Madrid