Forward Deployed Engineer Manager

📋 Description

• Sit with a client's team, work out where AI actually earns its keep (and where it doesn't), and
• Design and implement LLM-based systems: autonomous agents, RAG pipelines, workflow automation, and
• Integrate these solutions into clients' existing environments (APIs, databases, business tools)
• Get people to actually use what you built: training, winning sceptics over, and iterating until it
• Iterate quickly with stakeholders to refine solutions in production and maximize their impact.
• Be the person in the room who can talk to the engineers and to the board, and be believed by both.

🎯 Requirements

• Have a grounding in computer science, AI, or a related technical field. A degree is the usual
• 5+ years of professional experience. We hire for trajectory, so strong graduates with serious LLM
• Have hands-on experience building with LLMs, whether in production, in research, or in substantial
• Write Python you'd be happy to hand to someone else and can pick up whatever language the client's
• Are comfortable integrating APIs and connecting heterogeneous systems.
• Have a strong sense of client context: you identify what's genuinely useful, prioritize, and

🎁 Benefits

• You ship. Engagements are measured in weeks, not quarters, and your work goes live in front of real
• Range without job-hopping. You will touch several industries and several architectures a year
• A practice that is growing, not maintaining. The AI practice is young enough that you shape how it
• Direct exposure. You sit with business decision-makers from day one, the fastest route to seniority
• A competitive salary with great advantages, like hospital insurance, performance-related bonus,...
• A dedicated learning budget, funded partner certifications (Anthropic, AWS, Databricks), and paid