Applied AI Engineer
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Job Description
Applied AI Engineer building agentic-system infrastructure for MAI, a German digital agency group. Designing orchestration, retrieval, evaluation, and scalable production services.
Responsibilities:
- Responsibility for the architecture of agentic systems and building the agent harness with orchestration, tool interfaces, sandboxing, permission model, state and memory management, subagents, and execution/tracing
- Development of loop engineering and context management including abort-and-handover logic, budgets, context compression, and cross-session memory
- Development of scalable services in Python and TypeScript with APIs, asynchronous processing, queues, backpressure, rate limits, idempotence, and tenant isolation
- Building the data and retrieval layer from ingestion and normalization to vector and full-text indexes
- Measuring and improving retrieval quality
- Conducting evaluations on trajectories, regression testing for prompts and tools, and implementing guardrails
- Operating the systems with containerization, CI/CD and monitoring, as well as controlling latency and model costs
- Working with coding agents, evaluating models and frameworks, and co-deciding on the technology stack and on-premise deployment
- Collaborating in a small team directly with the Head of AI
Requirements:
- Several years of backend or platform engineering experience
- Proven experience running agentic systems in production, not just proofs of concept
- Experience with tool-calling, tool design, MCP, planning and reflection patterns, and multi-agent setups with subagents
- Experience designing execution loops, context compression, and cross-session state management
- Clean, testable Python and TypeScript code
- Experience in API development with FastAPI or Node
- Daily work with coding agents
- Experience with systems under load, concurrency, queues, rate limits and distributed state
- Experience with Docker, CI/CD and deployments on AWS, Azure, GCP or on-premises servers
- Kubernetes and local GPU environments are a plus
- Experience with ETL and ELT pipelines, vector databases, evaluations, tracing and observability
- Awareness of latency and token cost considerations
- Ability to design GDPR-compliant architectures, including tenant isolation, secrets handling, rights for agent tools, and cloud/on-premise delineation
- Excellent German skills at C2 level
- Fluent English skills
Benefits:
- Significant scope for influence and flat hierarchies
- Tailored training and conference attendance
- Flexible working hours
- 100% remote work within Germany
- Workations
- Sabbaticals
- Full-time or part-time models
- Exchange with experienced specialists in the expert network
- Regular team events, company parties and group activities
- JobRad (company bike program)
- Modern office equipment
- Free drinks and snacks
- Shared lunch breaks
- Support for mental and physical health via the WorkLifePortal
- Company pension plan with employer contribution
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