Job
- Level
- Experienced
- Job Field
- IT, DevOps, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Osnabrück
- Working Model
- Onsite
Job Summary
In this role, you will develop robust AI applications, integrate components, and ensure operational readiness including security and observability in a production environment.
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 connected 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. 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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What we offer
- 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!
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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
