Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 61.000 to 76.000€ Gross/Year
- Location
- Linz
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop a reliable Python agent layer, design evaluation strategies, and ensure the quality of autonomous systems while collaborating in an international team.
Job Technologies
Your role in the team
- Join our AI-first team, where we're building a next-generation platform that runs AI agents to do real engineering work. Our systems reason, use tools, and act on production environments safely and at scale, making complex workflows trustworthy and reliable. We are seeking professionals passionate about building exceptional user experiences and eager to collaborate with an international team of experts to shape how people interact with autonomous agents in a globally leading product.
- We are looking for a practical, rigorous software engineer who is enthusiastic about turning LLM reasoning into safe, reliable, and tool-using agentic behaviors in production environments. You should be a builder at heart who enjoys engineering robust agent frameworks and evaluation pipelines rather than focusing purely on prompt design.
- Design, build, and maintain our core Python agent layer, including LLM routing, tool-calling infrastructure, and structured-output retry logic that ensures dependability in production.
- Design robust guardrails, input and output validation, and prompt-injection defenses to mitigate hallucinations and prevent agents from deviating from their tasks.
- Define and implement the datasets, metrics, and automated evaluation strategies necessary to measure and prove agent quality objectively across model updates and prompt modifications.
- Führen Sie hochrangige Architekturentscheidungen für unsere KI-Systeme und nehmen Sie aktiv an Team-Code-Reviews, Unit-Tests und Debugging-Aktivitäten teil.
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Our expectations of you
Education
- Degree in Software Engineering or equivalent practical experience in software development.
Qualifications
- Demonstrated ability to measure, evaluate, and prove agentic system quality through quantitative datasets and evaluation metrics rather than qualitative impressions.
- Strong software engineering fundamentals, including continuous testing, production debugging, and full-service ownership.
- Highly developed analytical, problem-solving, and collaborative skills to work effectively within an international engineering team.
Experience
- To be successful in this role, you bring deep software development experience combined with a highly analytical and scientific approach to measuring AI system quality. We seek individuals who pair strong Go and Python foundations with hands-on, production-proven experience in orchestrating LLM APIs and agent loops.
- Multiple years of professional, hands-on software engineering experience with deep expertise in Go and Python.
- Direct experience building LLM-powered systems and agent loops, utilizing modern orchestration frameworks (like LangGraph), tool-calling, and structured-output APIs.
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What we offer
- Due to legal reasons, we are obliged to list a salary range for this position, which is € 61,000 up to € 76,000 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.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
More net
Topics that you deal with on the job
Job Locations
This is your employer
Dynatrace GmbH
Barcelona, Detroit, Klagenfurt, Graz, Innsbruck, München, Wien, Linz, Linz, Hagenberg, Gdańsk
As passionate and open-minded software enthusiasts, we are the global market leader in software intelligence. With AI-driven, answer-based automation, we support the largest companies in the world to create perfect digital solutions. Our mission is to make sure that millions of people have excellent user experiences in the age of digitalization – whether banking, traveling, shopping or working on the go. By combining observability with automation and AI into one cloud-based platform, we're making this possible.
Description
- Company Size
- 250+ Employees
- Founding year
- 2005
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Dev Reviews
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(13 Reviews)Engineering
4.3Culture
4.4Career Growth
4.6Workingconditions
4.8