AI Platform Engineer

• No pure data scientists and no exclusively ML engineers
• No pure DevOps engineer
• No Java developer who now wants to “dabble in AI too”

Team

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. Application Process

1. Chat via Instaffo
2. Digital interview with the hiring manager and, if applicable, team members
3. Digital / in-person interview together with the department and HR
4. Contract

About the Company

IT & Digital: We move logistics forward!

Technologie und Digitalisierung prägen die Zukunft von Hellmann. Umso wichtiger ist es, unsere IT-Lösungen mit der Erfahrung aus 150 Jahren Logistikexzellenz zu verbinden. Wir machen die IT zur tragenden Säule des Logistikalltags. Wir ermöglichen unseren Teams, sich weltweit zu verbinden, zu kommunizieren und gemeinsam Logistiklösungen für unsere Kunden zu entwickeln und umzusetzen.

Wir sind mutige Macher*innen und treiben ein weltweit agierendes Familienunternehmen mit unseren Ideen und Lösungen an. Vor allem aber sind wir ein fantastisches Team, das in technologisch anspruchsvollen und vielseitigen Projekten Logistikketten schneller, besser und komfortabler gestaltet. Dafür schlägt unser Herz. Als Teil unseres Teams kannst auch Du diese Erfolgsgeschichte mitschreiben. Gemeinsam packen wir die Zukunft an: Komm ins Team und “keep life moving”!

Hellmann Worldwide Logistics hat sich seit seiner Gründung 1871 zu einem der großen internationalen Logistikanbieter entwickelt. Mit den leistungsstarken Produkten Airfreight, Seafreight, Road & Rail und Contract Logistics bieten wir jederzeit die passende Lösung für die komplexen Logistikanforderungen unserer Kunden und setzen dabei auf zukunftsweisende digitale Services für maximale Transparenz und effizientere Supply Chains.

Hellmann ist mit 243 Niederlassungen in 57 Ländern mit mehr als 12.237 Beschäftigten vertreten und wir sind immer auf der Suche nach talentierten und enthusiastischen Menschen, die unser Team verstärken. Ob per Bahn, LKW, Schiff, Flugzeug oder im Lager - im Zuge einer kontinuierlichen Weiterentwicklung bieten wir dem Markt seit fast 150 Jahren stetige Innovationen, welche die Logistikwelt und damit die Wirtschaft insgesamt voranbringen.

• 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

Instaffo GmbH Hamburg, 20459 Vollzeit

You are interested in the position as AI Platform Engineer (m/f/d) at Hellmann Worldwide Logistics GmbH & Co. KG? On Instaffo, you can apply for this and other jobs with ease. Create your profile in under 2 minutes and start the application process with just a few clicks. Please note that this position requires work authorization for Germany. The language requirements for this position are: German - Fluent (C1), English - Fluent (C1). The estimated salary range from XING does not necessarily correspond to the salary range of this job offer.

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.

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. Activities

• 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.