Senior AI Engineer
Posted on January 21, 2026 (about 4 hours ago)
Your mission
(This role requires you to be based in Berlin)
As an AI Engineer, you will play a key role in developing cutting-edge AI-driven solutions that empower patients, enhance collaboration within the healthcare ecosystem, and drive innovation in patient journey analysis. You will work on creating advanced workflow agents and multi-agent systems designed to streamline processes for both pharmaceutical clients and individual patients. Your expertise will help bridge the gap between healthcare and technology.
Your contributions will include:
- Designing and developing intelligent, scalable AI systems: building advanced workflow agents and multi-agent systems that improve the patient experience, optimize healthcare operations, and support pharmaceutical partners with actionable insights.
- Building solutions for personalized health reports: leveraging AI and machine learning to create personalized health reports that provide patients with deep, actionable insights based on their unique medical data and experiences.
- Empowering patients through data-driven insights: developing systems that help patients share their medical experiences with others, fostering community and facilitating better-informed healthcare decisions.
- Enhancing operational efficiency: creating AI-powered tools that streamline workflows, reduce inefficiencies, and improve outcomes for patients and healthcare organizations.
- Collaborating across teams: working closely with product managers, data scientists, healthcare professionals, and pharmaceutical clients to ensure AI solutions are tailored to real-world needs and compliant with healthcare standards.
Your profile
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Strong expertise in Python.
- Experience with Retrieval Augmented Generation (RAG).
- Proficiency in Prompt Engineering.
- Knowledge of vector databases and embedding models.
- Familiarity with frameworks such as LangChain, LangGraph, and LlamaIndex.
- Experience with multi-agent libraries/frameworks like Autogen, Pydantic AI, CrewAI, Swarms, etc.
- Understanding of data engineering concepts, including data pipelines, data integration, and data warehousing.
- Ability to work with large datasets and perform data cleaning, transformation, and manipulation.
- Experience with version control, small and regular commits, unit tests, CI/CD, packaging, and Docker.
- Experience in Knowledge Graph Modelling is a plus.
- Experience building evaluation systems for LLMs or search.
- Cloud platforms: AWS (SageMaker, EC2, Glue), Azure (ML Studio), Google Vertex.
- Knowledge of AI ethics, bias mitigation, and responsible AI practices is a plus.
- Strong analytical thinking and creative problem-solving skills.
- Good communication skills for collaborating with cross-functional teams and stakeholders.
About us
mama health’s mission is to build the largest healthcare data platform where patients find answers and healthcare players see how they can improve. We built two products:
- a Patient App that helps chronic patients find answers to their daily questions using multi-agent systems and proprietary data;
- a Patient Journey Analytics Platform to see real-time patient needs, roadblocks and what needs to be done to improve patient care.
Our values
- Entrepreneurial spirit: seeking exceptional talent with drive, passion, and creativity to shape the future of the company.
- Results-driven culture: operating by objectives and rewarding exceptional performance; clear goals and accountability.
- Inclusive values: building an international, diverse team with medical, technical, and business expertise.
Our work environment and benefits
At mama health, the team works (very) hard but also knows how to have fun. Most of the team is based in Berlin, with regular trips to the Berlin office for remote team members. Benefits include educational courses, gym memberships, mentoring, frequent team events and an annual team "workation" where the entire team gathers for a week of collaboration and bonding.
How to apply
Click the "Apply for this job" link on the job page and complete the short application form. We appreciate your interest in mama health technologies GmbH. Should you have any difficulties uploading your files, please contact us by email at [email protected].
Contact
For application support: [email protected]. Refer to the Data privacy statement and legal notice links on the job page for more information.