Senior AI Engineer (x/f/m) - Phone Assistant

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

Required From the posting source checked Jun 20, 2026

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior AI Engineer (x/f/m) - Phone Assistant Berlin, Berlin, Germany What we do Join a team of passionate and hardworking entrepreneurs to transform healthcare! Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams. What you'll do We are looking for a Senior AI Engineer (Python) to join the Conversational AI (CAI) team in the Practice Efficiency domain. As a Senior AI Engineer, your mission will be to build and scale a new product in the Doctolib suite: our Phone Assistant, with the vision to revolutionize access to care for patients and day-to-day practice management for practitioners. This opportunity will allow you to leverage the latest technologies in AI, NLP, and speech recognition to build delightful user experiences and scale your product to millions of users. Your responsibilities include but are not limited to: - Design, ship, and operate production-grade agentic LLM systems that improve patient-practitioner interaction and streamline healthcare workflows - Validate hypothesis with offline evaluation datasets and A/B tests on real traffic - Partner with other machine learning teams to design and improve evaluation pipelines, security/safety guardrails, and metrics - Develop and maintain core agentic capabilities, including memory, reasoning orchestration, and tool adapters, ensuring strong observability, fallback mechanisms, and fail-safe behaviors - Own performance, observability, and security: monitoring dashboards, SLO/SLI, security posture - Ensure privacy and security by

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