AI Platform Engineer (m/f/d)

Hellmann Worldwide Logistics; Hamburg; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Hellmann Worldwide Logistics is building an AI-first platform. You will join the AI Platform Team to enable production-grade AI agents and tooling within a Kubernetes-based internal developer platform.

We value hands-on experience with AWS, Snowflake, and running LLM-based apps in production. You’ll contribute to secure, observable, and scalable agent infrastructure, driving practical AI across our logistics operations.

Qualifikationen

• 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.

Aufgaben

• Build the path that takes AI into production here: bridge from prototype to running, observed and secured, in operations.
• Select and integrate components: LLM gateway, container runtime, workflow and agent orchestration, observability, cost tracking.
• Make Snowflake the home for agents' data for operational data and ontology knowledge.
• Backend integration via API and MCP, secured through gateways, and where it makes sense, as a CLI.
• Make agents observable: prompts, tool-use, cost telemetry end to end, evals as part of lifecycle, lineage from user action to effect in core system.
• Ensure security as a platform feature: machine identities, permissions for agents, guardrails against prompt injection, secret management, audit trails.

Kenntnisse

Platform engineering

AWS

Data engineering

LLM applications

Observability

Security

Tools

Kubernetes

Snowflake

LLM platforms

Jobbeschreibung

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.

We're building the infrastructure that will make AI productive at Hellmann. Build with us. Hellmann is a globally operating logistics provider with around 10,000 employees. For us, AI isn't an add-on but a company-wide priority: we want to become an AI First Freight Forwarder. The first components of our AI infrastructure are already running. But many big decisions are still ahead of us—and those are the ones we want to make with you.

What we're planning:

Three areas we're currently working on:

Self-service for business units. Non-engineers in the product areas should be able to build their own dashboards and tools—with AI as a tool and a secure runtime environment provided by us.

AI in engineering. We're 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, we're entering uncharted territory, and we're aware that no one has a ready-made blueprint for this. What matters here is our ambition: this isn't about becoming a bit more efficient here and there—we're convinced that AI changes the way this company works. And we're building our platform around that from the ground up.

About the Job

You'll be part of the AI Platform Team, which is currently taking shape. It's 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.

You'll 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 "running—observed and secured—in 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. You'll make Snowflake the home for our agents' data—for 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 clearlyYou use AI daily in your own work

What we're not looking for

• No pure data scientists and no exclusively ML engineers
• 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!