Jobs
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 design, build, and scale AI‑powered tools that enhance and accelerate software engineering workflows. This role will play a key part in shaping our AI engineering capabilities—bringing deep expertise in Generative AI, system design, critical thinking, and modern software engineering practices.
You will work across our AI stack to create reliable, scalable, and developer‑focused solutions that integrate into real engineering environments.
This is an on-site role in Kraków.
What you will do:
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Design, develop, and deploy AI-driven tools that improve software engineering productivity.
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Build systems using GenAI, RAG architectures, vector stores, and modern LLM frameworks.
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Work with cross-functional teams to identify engineering pain points and deliver AI solutions that meaningfully address them.
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Architect and implement robust back-end systems, APIs, and pipelines for AI features.
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Evaluate, fine-tune, and integrate LLMs using Python,Lang Graph/Lang Chain, and related frameworks.
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Implement scalable data pipelines and retrieval systems using Azure,Postgres, and vector-search.
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Ensure model observability, reliability, quality, and safe operation.
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Collaborate on system design, architecture reviews, and technical direction for AI initiatives.
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Stay current with rapidly evolving AI technologies and identify opportunities for adoption.
Who you are:
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Strong expertise in Generative AI, LLMs, prompt engineering, and building production-grade AI systems.
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Experience delivering end-to-end AI solutions (from prototyping to production).
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Strong skills in Python, including ecosystem packages used in AI/ML tooling.
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Hands-on experience with Lang Graph,Lang Chain, RAG pipelines, vector search, and related patterns.
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Strong system design skills, with the ability to architect scalable AI solutions.
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Solid software engineering fundamentals: clean code, testing, CI/CD, API design.
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Ability to apply critical thinking and break complex problems into actionable components.
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Experience working with Azure cloud services.
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Experience with SQL and vector databases (Postgres + vector store).
It would be a plus if you also possess previous experience in:
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Experience with TypeScript and modern frameworks (e.g.,Vercel AI SDK).
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Willingness to learn and work across both Python and TypeScript environments.
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Experience building developer‑facing tools or productivity‑focused AI features.
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.
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About Danaher

Danaher
PublicDanaher Corporation is an American healthcare company headquartered in Washington, D.C.. It develops products used for advances in biotechnology, life sciences, and diagnostics.
10,001+
Employees
Washington
Headquarters
$160B
Valuation
Reviews
3.1
9 reviews
Work-life balance
3.0
Compensation
3.8
Culture
2.8
Career
3.2
Management
2.5
55%
Recommend to a friend
Pros
Good compensation and benefits
Cross-functional collaboration opportunities
Learning and career development experiences
Cons
High turnover and leadership instability
Unrealistic management expectations
Limited career advancement opportunities
Salary Ranges
23 data points
Mid/L4
Senior/L5
Mid/L4 · SENIOR DATA AND ANALYTICS ADMINISTRATOR
1 reports
$214,500
total per year
Base
$165,000
Stock
-
Bonus
-
$214,500
$214,500
Interview experience
1 interviews
Difficulty
1.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 0%
Negative 100%
Interview process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Skills Assessment
5
Final Interview
6
Offer
Common questions
Administrative Skills
Behavioral/STAR
Past Experience
Software Proficiency
Time Management
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