Applied AI Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• Accountable for the architecture of agentic systems and the development of the agent harness, encompassing orchestration, tool interfaces, sandboxing, permission models, state and memory management, subagents, and execution/tracing.

• Responsible for the creation of loop engineering and context management, which includes abort-and-handover logic, budgets, context compression, and cross-session memory.

• Development of scalable services using Python and TypeScript, featuring APIs, asynchronous processing, queues, backpressure, rate limits, idempotence, and tenant isolation.

• Constructing the data and retrieval layer, from ingestion and normalization to vector and full-text indexing.

• Assessing and enhancing retrieval quality.

• Performing evaluations on trajectories, conducting regression testing for prompts and tools, and establishing guardrails.

• Managing the systems using containerization, CI/CD, and monitoring, while also overseeing latency and model costs.

• Collaborating with coding agents, evaluating models and frameworks, and jointly determining the technology stack and on-premise deployment strategies.

• Working closely in a small team alongside the Head of AI.

⛳️ Requirements

• Several years of experience in backend or platform engineering.

• Demonstrated experience operating agentic systems in production environments, not limited to proofs of concept.

• Familiarity with tool-calling, tool design, MCP, planning and reflection patterns, and multi-agent configurations with subagents.

• Expertise in designing execution loops, context compression, and cross-session state management.

• Proficient in writing clean, testable code in Python and TypeScript.

• Experience in API development using FastAPI or Node.

• Daily engagement with coding agents.

• Background in managing systems under load, including concurrency, queues, rate limits, and distributed state.

• Experience with Docker, CI/CD, and deployments on AWS, Azure, GCP, or on-premises servers.

• Knowledge of Kubernetes and local GPU environments is advantageous.

• Experience with ETL and ELT pipelines, vector databases, evaluations, tracing, and observability.

• Understanding of latency and token cost considerations.

• Capability to design GDPR-compliant architectures, involving tenant isolation, secrets handling, rights for agent tools, and cloud/on-premise delineation.

• Excellent command of German at a C2 level.

• Proficient in English.

🏝️ Benefits

• Significant opportunity for influence and a flat organizational structure.

• Customized training and opportunities for conference attendance.

• Flexible working hours.

• 100% remote work within Germany.

• Workation options.

• Sabbatical opportunities.

• Options for full-time or part-time employment.

• Interaction with experienced specialists in the expert network.

• Regular team events, company gatherings, and group activities.

• JobRad (company bike program).

• Modern office equipment provided.

• Complimentary drinks and snacks.

• Shared lunch breaks.

• Support for mental and physical well-being through the WorkLifePortal.

• Company pension plan with employer contributions.