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nlp python ai llms agentic systems๐ Description
- Design and operate production-grade agentic LLM systems to improve patient-practitioner interactions.
- Validate hypotheses with offline datasets and A/B tests on real traffic.
- Partner with ML teams to design eval pipelines, guardrails, and metrics.
- Develop and maintain core agentic capabilities: memory, reasoning, tool adapters.
- Own performance, observability, and security: dashboards and SLO/SLI.
- Ensure privacy and security by design.
๐ฏ Requirements
- 6+ years as a software engineer with strong Python experience.
- Track record delivering AI products at scale from evaluation to production iterations.
- Promote best practices across the SDLC: automated testing, CI/CD, and DevOps.
- Product-oriented and able to guide teammates on tradeoffs balancing business needs and tech constraints.
- Strong focus on code quality and rigorous testing culture.
- Eager to share knowledge and mentor via pair programming.
๐ Benefits
- Deutschlandticket fully paid for by Doctolib.
- 28 vacation days + 1 extra day per year (up to 30).
- Work from abroad for up to 10 days per year.
- Company health insurance with Allianz.
- Company pension scheme (bAV) with Allianz subsidy.
- Doctolib Parent Care program with extra parental leave.
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