Your role
As a Forward Deployed Engineer, you will work closely with our clients to turn complex business challenges into production-ready AI solutions.Location: Germany, with regular presence at client sites in Germany and occasionally elsewhere in Europe
You will take ownership of an applied-AI workstream from end to end: identifying a use case with measurable business value, designing and building AI agents connected to the client’s systems and data, deploying the solution in the client’s environment, and enabling the client’s team to operate it independently.
This is a senior, hands-on engineering role combining:
You will take ownership of an applied-AI workstream from end to end: identifying a use case with measurable business value, designing and building AI agents connected to the client’s systems and data, deploying the solution in the client’s environment, and enabling the client’s team to operate it independently.
This is a senior, hands-on engineering role combining:
- Production-grade software engineering
- Applied LLM and agent engineering
- Evaluation and observability
- Client-facing consulting and stakeholder communication
Your responsibilities
Discover and define valuable use cases
- Lead data-driven discovery together with the client
- Understand operational processes and establish a measurable baseline
- Define the target metric and clear acceptance criteria before development begins
- Assess whether an AI agent is the right solution or whether a simpler deterministic approach would be more effective
- Translate business requirements into a technically achievable workstream
Design and build AI agents
- Architect AI agents, including their purpose, scope, decision-making authority, human escalation points, and division of responsibilities
- Create executable specifications and evaluation sets that govern development and releases
- Build and verify solutions using modern coding agents and development tools
- Integrate agents with real enterprise systems through MCP servers and APIs
- Connect to environments such as ticketing systems, ERPs, CRMs, legacy databases, and data pipelines
- Establish automated evaluations and quality gates in CI/CD workflows
Deploy and operate production systems
- Deploy solutions within the client’s cloud, network, security, and compliance environment
- Implement tracing, monitoring, alerting, and cost measurement
- Monitor latency, quality, drift, and cost per transaction
- Apply security principles such as least-privilege access, sandboxing, prompt-injection protection, and auditability
- Support technical reviews relating to security, data protection, and production readiness
Enable a sustainable handover
- Create clear architecture documentation, runbooks, evaluation suites, and incident playbooks
- Train the client’s technical and operational teams
- Document known limitations and operational responsibilities
- Ensure that the solution can be operated independently by the client
- Complete the handover against clear, objective readiness criteria
Communicate with stakeholders
- Provide transparent progress reporting in situations with incomplete or changing information
- Clearly distinguish between confirmed information, assumptions, risks, and dependencies
- Translate technical decisions into business consequences
- Communicate challenges early and accompany them with practical options and recommendations
How we work
- Metric first: Every workstream begins with a measurable baseline and a business-relevant target.
- Production over prototypes: We build operational systems, not isolated proofs of concept.
- Handover by design: Solutions are documented and designed so that the client’s team can own and operate them.
- Technology-agnostic thinking: We select the appropriate model, framework, and architecture for the problem rather than forcing every use case into one stack.
- Close client collaboration: Discovery, delivery, communication, and capability transfer are integral parts of the engineering work.