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Senior Agents Platform Engineer (x/f/m)

Doctolib Sourced

Paris, Paris, France Full-time Not specified

No account needed — this role is applied for on the employer’s own site.

About the role

<h2 class="pb-2 pt-4 heading-xl text-foreground"><strong class="font-semibold text-foreground">Set a new pulse for healthcare!</strong></h2> <div class="whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground">We are looking for a <strong class="font-semibold text-foreground">Senior Agents Platform Engineer</strong> to join the <strong class="font-semibold text-foreground">ML Platform (TIGER)</strong> team in <strong class="font-semibold text-foreground">AI &amp; Machine Learning</strong>.</div> <div class="whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground">Your mission will be to build the platform that lets every feature team at Doctolib declare an agent once — and get a production-grade, secure, and compliant AI agent by default. You will work on the foundational layer that powers Consultation Assistant, Phone Assistant, Health Companion, and more: a shared agent runtime, a unified GenAI gateway, and the observability and evaluation infrastructure that makes it all trustworthy — contributing directly to safer, faster, and more reliable AI for patients and care teams across Europe.</div> <div class="whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground">Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.</div> <h2 class="pb-2 pt-4 heading-xl text-foreground"><strong class="font-semibold text-foreground">What you'll do</strong></h2> <div class="whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground">Your responsibilities include but are not limited to:</div> <ul class="pb-2 flex flex-col gap-1 list-disc pl-6 text-foreground text-base leading-relaxed"> <li class="break-words text-foreground text-base leading-relaxed">Own the agent manifest and registry — design the single declarative specification (skills, tools, memory, model, guardrails, sandbox, security) that wires any new agent into the full platform automatically, triggerable from product surfaces, other agents (A2A), schedules, or workflows</li> <li class="break-words text-foreground text-base leading-relaxed">Own the GenAI gateway end to end (built on LiteLLM) — manage routing (including KV-cache-aware routing), failover, metering, cost attribution, reserved-capacity pooling, and guardrails across self-hosted (vLLM) and managed providers, serving several hundred million requests per month</li> <li class="break-words text-foreground text-base leading-relaxed">Operate the infrastructure for long-running, streaming agent interactions — build production-grade reliability for SSE/WebSocket connections, queueing and retries, human-in-the-loop approvals, and snapshot/resume, in a sandboxed execution environment consistent with our existing application runtime</li> <li class="break-words text-foreground text-base leading-relaxed">Build feature-flagged, progressive rollout for prompts, models, and configs — including an emergency kill-switch and the audit trail that lets agents act safely on sensitive healthcare data</li> <li class="break-words text-foreground text-base leading-relaxed">Own reliability for the agents platform end to end — define SLOs, lead on-call and incident response, and build runbooks including provider failover for the GenAI gateway</li> <li class="break-words text-foreground text-base leading-relaxed">Build the observability and evaluation layer — online traces and logs, offline evals (LLM-as-judge plus patient and practitioner simulators) gating CI, and the compliance-grade audit trail for health data</li> <li class="break-words text-foreground text-base leading-relaxed"

Skills

Engineering

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