AI Platform Engineer (mfd)
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Job Summary
About Us
Ready to rock the future with us At Hellmann we put our people at the heart of everything we do because for us relationship matters. Joining us does not just mean becoming part of a global company. It is an invitation to shape the future of the logistics industry together with us. Our Hellmann culture is based on our four values: Caring Entrepreneurial Forward-Thinking and Reliable. These values resonate with yours Then become part of our FAMILY that consists of around 10.000 employees in more than 200 locations worldwide.
For the better. Together.
What were planning:
Three areas were currently working on:
Self-service for business units. Non-engineers in the product areas should be able to build their own dashboards and toolswith AI as a tool and a secure runtime environment provided by us.
AI in engineering. Were fundamentally changing our software engineering processes: shift left agentic engineering spec-driven development.
Agentic AI in the core business. Perhaps the biggest opportunity of all: agents in our operational core processes as a core way we create value and scale.
In doing so were entering uncharted territory and were aware that no one has a ready-made blueprint for this. What matters here is our ambition: this isnt about becoming a bit more efficient here and therewere convinced that AI changes the way this company works. And were building our platform around that from the ground up.
About the Job
Youll be part of the AI Platform Team which is currently taking shape. Its emerging within our DXP team (Developer Experience Platform) which has already built and operates a Kubernetes-based Internal Developer Platform. The new team is deliberately kept small senior-led and close to the existing platform expertise.
Youll build the path that takes AI into production here:
- From prototype to productive application. You build the bridge from sketched out with Claude in Python to runningobserved and securedin operations.
- Selecting and integrating components. LLM gateway container runtime workflow and agent orchestration observability cost tracking. As a team not alone.
- Snowflake as the context layer. Youll make Snowflake the home for our agents datafor operational data and in the longer term for ontological knowledge as well.
- Backend integration. Via API and MCP secured through gateways and where it makes sense as a CLI.
- Making agents observable. Prompt tool-use and cost telemetry end to end evals as part of the lifecycle lineage from the user action through the model call to the effect in the core system.
- Security as a platform feature. Machine identities and permissions for agents guardrails against prompt injection clean secret management audit trails.
About You
- Experience as a software or ideally a platform engineer
- Hands-on experience with AWS and in data engineering ideally with Snowflake
- Have run LLM-based applications in production or closely supported doing so
- An understanding of agents: tool use context engineering evaluation observability
- High agency and the ability to make decisions and explain your reasoning clearly
- You use AI daily in your own work
What were not looking for
- No pure data scientists and no exclusively ML engineers
- No pure DevOps engineer
- No Java developer who now wants to dabble in AI too
Inclusion and social diversity are firmly anchored values in our corporate culture. Regardless of gender age any disabilities religion ethnic origin or sexual identity: We are looking forward to meeting you!
If you are excited by this fantastic opportunity and have what it takes then click APPLY!
Any open questions Please feel free to contact our responsible Recruiter.
Viktoria WarkentinRequired Experience:
IC
