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Most AI developer tools operate without any knowledge of how software actually behaves in production. Dynatrace is in a unique position to change that.
We're looking for a Senior or Principal Generative AI Engineer to design and build the evaluation and simulation capabilities at the core of our product. You'll work across the stack from CLI tooling that engineers run locally to large-scale simulation pipelines to LLM-as-a-judge evaluation frameworks running against real Dynatrace AI Observability data.
This role sits inside Dynatrace's Engineering organization and works closely with product design and the platform teams that power Dynatrace's AI-observability stack.
Your responsibilities:
- Conduct research in the field of Generative AI
- Design and build systems that let users replay and stress-test AI Agents at scale. Detect regressions across model versions prompt changes and data drift. Define the metrics datasets and judging strategies that make results trustworthy.
- Build infrastructure to simulate multi-turn tool-using agents in realistic environments. Generate adversarial scenarios measure task completion tool-use correctness and failure modes. Help teams ship agents with confidence.
- Own developer-facing CLIs that run evaluations on top of Dynatrace AI Observability data from trace ingestion to judge configuration to reporting. Make it the tool AI engineers reach for first when debugging a production behavior.
- Prototype quickly run user feedback cycles and ship to production
- Define technical strategy for the team's AI systems set architectural direction and mentor other engineers
- Collaborate with product and design to identify which developer problems are most worth solving
- 5+ years (Senior) or 10+ years (Principal) of professional software engineering experience
- Demonstrated experience shipping production systems that use LLMs including prompting tool calling evaluation and iteration
- Strong foundation in at least one of: developer tooling (IDEs compilers static analysis code intelligence) AI/ML engineering or large-scale distributed systems
- Hands-on experience with agentic patterns: planning tool use retrieval memory management
- Ability to evaluate and critique AI-generated output. You understand when a model is wrong not just that it is.
- Clear communication with cross-functional partners across product and engineering
- Background in observability APM or infrastructure monitoring
- Familiarity with engineering platforms at scale: CI/CD systems developer portals internal tooling
- Hands-on experience with LLMs: prompt engineering evaluation frameworks (e.g. LLM-as-a-judge golden datasets pairwise comparisons) or agent frameworks.
- Dynatrace is a leader in unified observability and security.
- We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance.
- Our employees work with the largest cloud providers including AWS Microsoft and Google Cloud and other leading partners worldwide to create strategic alliances.
- You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI it helps teams understand what's happening why it matters and what to do next— automatically.
- Over 50% of the Fortune 100 companies are current customers of Dynatrace.
- We offer attractive compensation packages and stock purchase options with numerous benefits and advantages.
- Due to legal reasons we are obliged to list a salary range for this position which is €74000 up to €112000 gross per year based on full-time employment (38.5 h/week). We’ve listed the salary range for transparency but if your experience and skills bring unique value we’d still love to hear from you—please apply even if you’re outside the range.
Dynatrace provides equal employment opportunities to all employees and applicants without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability age veteran status or any other protected characteristic. We actively foster an inclusive workplace that celebrates differences and promotes accessibility collaboration and growth for all.
Skills Required
- 5+ years (Senior) or 10+ years (Principal) of professional software engineering experience
- Demonstrated experience shipping production systems that use LLMs including prompting tool calling evaluation and iteration
- Strong foundation in developer tooling AI/ML engineering or large-scale distributed systems
- Hands-on experience with agentic patterns: planning tool use retrieval memory management
- Ability to evaluate and critique AI-generated output
- Clear communication with cross-functional partners across product and engineering
- Background in observability APM or infrastructure monitoring
- Familiarity with engineering platforms at scale: CI/CD systems developer portals internal tooling
- Hands-on experience with LLMs: prompt engineering evaluation frameworks or agent frameworks
What the Team is Saying





What We Do
Dynatrace lets customers understand their business like never before so they can see beyond the complexity find and fix problems faster and automate manual tasks with Al — so they can focus on what truly matters: running their business.
Why Work With Us
In a world that runs on software our Al-driven insights cut through the noise allowing you to focus on what truly matters by automating manual tasks and resolving issues with pinpoint accuracy. Our culture fueled by curiosity openness and authenticity drives our pursuit of innovation and excellence in crafting the Dynatrace platform.
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Employees engage in a combination of remote and on-site work.
Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.

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