Senior AI Agent Software Engineer (Go, Python)

• 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., * 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.

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., 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

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.

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.