Senior AI Engineer (f/m/d)

Reposted 19 Days Ago
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Kraków, Małopolskie, POL
In-Office
Senior level
Biotech
The Role
The Senior AI Engineer will design, develop, and deploy AI-driven tools, enhance software engineering workflows, and collaborate cross-functionally to deliver AI solutions.
Summary Generated by Built In

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Cytiva, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.

You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.

Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.

At Cytiva you will be able to continuously improve yourself and us – working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career.

Learn about the Danaher Business System which makes everything possible

The Senior AI Engineer is responsible for helping design and build AI‑powered tools that support and enhance software engineering workflows.
This role contributes to developing practical AI solutions using Generative AI and modern software engineering practices.

You will work across our AI stack to deliver reliable, developer‑focused solutions that integrate into real engineering environments.

This is an on-site role in Kraków.
What you will do:

  • Help design and develop AI-driven features that support software engineering productivity.

  • Work with GenAI, RAG architectures, vector stores, and modern LLM frameworks to build practical solutions.

  • Collaborate with engineers and product teams to identify problems and implement AI-based solutions.

  • Contribute to backend components, APIs, and pipelines supporting AI features.

  • Work with LLMs using Python and frameworks such as LangGraph / LangChain.

  • Help ensure basic quality, reliability, and maintainability of AI solutions.

  • Participate in design discussions and learn how to build scalable AI systems.

  • Stay up to date with AI technologies and continuously develop your skills.

Who you are:

  • Some experience with Generative AI and LLM-based applications.

  • Hands-on experience building or contributing to AI-powered solutions (projects, PoCs, or production).

  • Good Python skills and familiarity with AI/ML tooling.

  • Familiarity with concepts such as RAG, embeddings, or vector search.

  • Basic understanding of backend systems and APIs.

  • Solid engineering fundamentals (clean code, testing basics).

  • Ability to break down problems and deliver working solutions.

  • Willingness to learn and grow in AI and software engineering.

It would be a plus if you also possess previous experience in:

  • TypeScript and modern frameworks (e.g., Vercel AI SDK).

  • Working across both Python and TypeScript environments.

  • Building developer-facing tools or productivity-focused features.

#LI-KK1

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com.

Skills Required

  • Strong expertise in Generative AI, LLMs, prompt engineering, and building production-grade AI systems
  • Experience delivering end-to-end AI solutions from prototyping to production
  • Strong skills in Python, including ecosystem packages used in AI/ML tooling
  • Hands-on experience with LangGraph, LangChain, RAG pipelines, vector search, and related patterns
  • Strong system design skills, with the ability to architect scalable AI solutions
  • Solid software engineering fundamentals: clean code, testing, CI/CD, API design
  • Ability to apply critical thinking and break complex problems into actionable components
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The Company
4,883 Employees

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