Senior AI Agent Software Engineer (Go, Python) (m/f/x)

Posted Yesterday
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Hiring Remotely in Linz, Oberösterreich, AUT
Remote or Hybrid
61K-76K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Dynatrace delivers answers and intelligent automation from data.
The Role
Build and maintain core Python agent layers and LLM routing, implement tool-calling infrastructure and guardrails, design validation and prompt-injection defenses, define datasets and metrics for automated agent evaluation, drive architectural decisions, and own testing, debugging, and production reliability for LLM-powered agent systems.
Summary Generated by Built In
We put AI first

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.

Your role at Dynatrace

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.

Your role:

  • 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 defences 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.
  • Drive high-level architectural decisions for our AI systems and actively participate in team code reviews, unit testing, and debugging efforts.
What will help you succeed

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.
  • 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.
  • Degree in Software Engineering or equivalent practical experience in software development.
  • Highly developed analytical, problem-solving, and collaborative skills to work effectively within an international engineering team.
Why you will love being a Dynatracer
  • A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly.
  • Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research.
  • A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries.
  • An environment that fosters innovation, enables creative collaboration, and allows you to grow.
  • A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals.
  • A truly international mindset that is being shaped by the diverse personalities, expertise, and backgrounds of our global team.
  • For this position we offer exclusive relocation support to our R&D Headquarters in Linz, ranked among the top seven most sustainable cities in the world, where cutting-edge innovation intersects with an exceptional quality of life and affordable living costs! Click this link to find out more.
Compensation and Rewards

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.

Equal Employment Opportunity

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

  • Multiple years of professional software engineering experience with deep expertise in Go and Python
  • Direct experience building LLM-powered systems and agent loops, including orchestration frameworks (e.g., LangGraph), tool-calling, and structured-output APIs
  • Experience designing guardrails, input/output validation, and prompt-injection defenses to mitigate hallucinations
  • Proven ability to define and implement datasets, metrics, and automated evaluation strategies to measure agent quality
  • Strong software engineering fundamentals: continuous testing, production debugging, and full-service ownership
  • Degree in Software Engineering or equivalent practical software development experience
  • Highly developed analytical, problem-solving, and collaborative skills for working in an international engineering team
  • Experience driving high-level architectural decisions and participating in code reviews and unit testing

What the Team is Saying

Michael Polter
Jamie Mallett
Trevor Ealy
Hannah Fleming
Kristen Hanlan

Dynatrace Compensation & Benefits Highlights

  • Leave & Time Off Breadth The package includes paid time off, parental leave, quarterly company‑wide Wellness Days, and volunteer time off; U.S. materials also describe an “unlimited PTO” model.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is paired with mental‑health support via an Employee Assistance Program, with U.S. pages emphasizing strong health benefits.
  • Retirement Support U.S. offerings highlight a 401(k) retirement plan and broader retirement savings support that contribute to long‑term financial security.

Dynatrace Insights

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The Company
HQ: Boston, MA
5,600 Employees
Year Founded: 2005

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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Hybrid Workspace

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.

Typical time on-site: 2 days a week
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