Job
- Level
- Experienced
- Job Field
- IT, DevOps, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Onsite
Job Summary
In this role, you will develop production environments for AI applications, integrate components, and ensure observability and security features for efficient backend connectivity.
Job Technologies
Your role in the team
- You will be part of the AI Platform Team, which is currently taking shape. It is 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 closely aligned with 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. End-to-end telemetry for prompts, tool use, and costs, including evaluations as part of the lifecycle, lineage from 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.
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Our expectations of you
Qualifications
- 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
Experience
- Experience as a software or, ideally, a platform engineer
- Hands-on experience with AWS and in data engineering, ideally with Snowflake
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Benefits
More net
Health, Fitness & Fun
Work-Life-Integration
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
Hellmann Worldwide Logistics GmbH & Co. KG
As the world's leading logistics provider, Hellmann Worldwide Logistics has been operating internationally for over 150 years. We combine the charm of a family-run business with the success of a global enterprise. Whether by train, truck, ship, plane, or in our warehouses, we offer our customers tailored solutions all around the world.
Description
- Founding year
- 1871
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Logistics, Transportation
Employer reviews
by devworkplaces.com
Total
(1 Review)2.7
Workingconditions
3.2Culture
2.7Engineering
2.4Career Growth
2.7
AI Platform Engineer
- Location
- Hamburg
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
