Lead AI Engineer (m/f/d)
Quick Summary
Define and align a coherent AI architecture and set of standards across Flip Fusion, Ask AI agent gateway, and Flip Flows. Tackle the hardest challenge: Multi-agent systems,
Flip is the leading AI-powered employee experience platform for frontline workers. We're transforming how people do their jobs across the industries that keep the world running: retail, manufacturing, and logistics. One app. One touch. Everything they need.
AI orchestration is at the centre of where Flip is going. Fusion, a multi-agent code-generation system sits at the core of our newest product, and our Ask AI agent gateway and Flip Flows automation both run on capabilities our AI engineers build and maintain.
As Lead AI Engineer you take over the AI discipline: you own the how (architecture, standards, technical direction) across all three surfaces, you lead and grow a team of three AI engineers, and you stay hands-on where the problems are hardest.
About the Role
~1 min read7+ years of software engineering experience with a senior or staff-level track record, built on a software engineering foundation (backend, platform, or full-stack)
Hands-on experience designing, shipping, and operating LLM-powered systems in production: RAG, tool calling and MCP, orchestration, and evals. Not prototypes, systems you lived with after go-live.
Experience with multi-agent orchestration, weighted heavily. This is the core of what you would be architecting.
Demonstrated technical leadership: architecture ownership, tech lead responsibility, RFCs, design reviews, or setting standards for a team.
Proven ability to move technical work you don't own: you win architecture arguments through persuasion and credibility, and you're comfortable being right without being in charge.
Evidence that you grow people: coaching or mentoring engineers into stronger engineers rather than absorbing the work yourself.
A clear, explicit commitment to people leadership. This role includes managing three engineers and that is not the part you tolerate to get the technical scope.
Strong communication skills and business-fluent English (C1).
Formal people-management experience: line management, performance and development conversations, hiring. Strong mentoring evidence counts just as much.
Experience leading a discipline or craft across teams in a matrix organisation.
Product context at scale: frontline or deskless workforces, high-volume B2B SaaS, or comparable.
Cost, latency and reliability engineering for LLM systems: guardrails, fallbacks, evaluation harnesses.
German at any level. Useful in parts of the company, never required for this role.
What We Offer
~2 min readLocation & Eligibility
Listing Details
- Posted
- August 19, 2026
- First seen
- September 25, 2026
- Last seen
- September 30, 2026
Posting Health
- Days active
- 4
- Repost count
- 0
- Trust Level
- 28%
- Scored at
- September 30, 2026
Signal breakdown
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