Forward Deployed Engineer - m/f/d

Langdock bridges the gap between what technology can do and what people actually do with it. The platform brings leading AI models into one secure, model-agnostic platform for entire organizations. As a Forward Deployed Engineer, you take the most valuable customer use cases from idea to production, working inside the customer's problem as part of Customer Success alongside the Account Owner. You will feed field learnings back into the product and build with Langdock's own platform every day. Work is done from the Berlin office in person. Salaries are transparent and tied to levels, and the expected salary range is narrowed down early in the process. Most processes complete within two weeks.

Responsibilities

Run technical discovery on qualified, high-value use cases; Design and build production-grade agents, workflows, Skills, Apps and integrations on Langdock, from first prototype to company-wide rollout; Own the implementation of advanced and beta-feature use cases and high-profile proofs of concept together with the Account Owner; Turn individual solutions into reusable patterns, templates and on-platform resources, and maintain the bundles repository; Measure impact and package results into ROI stories; Support Partners with architecture reviews, scoping sessions and enablement; Be the technical voice of the customer internally

Requirements

3+ years of experience building production software, data or integration systems, ideally in a customer-facing role; Hands-on experience with LLM APIs, agents, tool use, retrieval and workflow automation; Ability to choose between models and approaches; Ability to talk credibly about data privacy, security, identity and integration architecture with CISOs, IT leads and engineers; Good at scoping and shipping committed work; Ability to translate business problems into technical designs and technical trade-offs into business terms for executives; Commercial awareness; Fluent in German (C1+) and English; Kind and caring towards colleagues

Nice to have

Founder or early-employee experience; Experience from an AI-native company or early-stage startup; Public projects such as MCP servers, open-source contributions or AI tooling shipped

Benefits

Equity included in all roles; Lunch and dinner together in the office; Health and sports support