Senior) Forward Deployed Engineer; m​/f​/d

For mid-sized companies, knowledge is the last real competitive lever. Yet knowledge gets stuck in tools and SharePoint folders — or disappears when experts leave. While IT is still planning, employees are already using ChatGPT and the like — without governance, and sensitive data is leaking out.

With the Knowledge Bots platform, Blockbrain creates what companies truly need: AI-powered knowledge management that is quick to implement, flexibly scales, and operates in a compliant manner. Teams use our GenAI building blocks to build tailored AI assistants, agents, and workflows in minutes — just like Lego.

• Series A funded with strong growth momentum (10x product usage & 5x revenue in 2025)
• Enterprise clients such as Roland Berger, Bosch, IONOS, and Harting from industries including manufacturing, finance, and legal — sectors with the highest security requirements
• ISO 27001 certified, EU AI Act ready. Made in Germany.

Forward Deployed Engineers are Blockbrain’s most client-proximate technical operators. Where Solutions Engineers sell and specify, FDEs ship — embedded directly in client environments to deploy, extend, and integrate the Blockbrain platform against real-world constraints. You own the gap between signed contract and working system.

This is not a support role. FDEs write production-grade code, design integration architectures, and make technical decisions on-site with clients. You are accountable for time-to-value.

• Own end-to-end delivery of Blockbrain in client environments — from infrastructure standup through agent configuration, retrieval tuning, and integration wiring
• Work directly with client engineering teams to ensure seamless adoption

• Develop custom connectors, API adapters, and workflow extensions using Blockbrain’s stack (Type Script/Node.js, Python/FastAPI, Next.js)
• Tailor the platform to client data models, auth systems, and business processes

• Configure and optimize Blockbrain’s knowledge retrieval layer — vector indexes, reranker pipelines, graph integrations — for client-specific environments

• Support and troubleshoot Kubernetes-based deployments (Docker, ArgoCD), cloud integrations, and IaC (Terraform)
• Take full ownership of clients running self-hosted Blockbrain instances

• Act as a direct signal channel from the field to Product and Engineering
• Document patterns, edge cases, and missing capabilities with enough specificity to become actionable backlog

• Lead discovery sessions, integration workshops, and architecture reviews with client engineering stakeholders
• Own the technical narrative in client meetings and teach advanced customer advocates to become platform experts

At Blockbrain, we don't just talk about AI — we use it every day. In this role, you will:

• Use Claude Code and Blockbrain's own agents to accelerate deployments — scaffolding integrations, debugging client environments, and generating documentation instead of writing everything from scratch
• Actively experiment with AI-assisted workflows for code generation, retrieval tuning, and test authoring to compress client time-to-value
• Collaborate with the product team to provide real-world field feedback on Blockbrain's AI capabilities — you're the closest person to how customers actually use the platform
• Stay curious about emerging AI capabilities and apply them hands‑on in client engagements — if a new tool can cut a 2-day integration task to 2 hours, we expect you to find it

We're not looking for AI researchers — we're looking for engineers who treat AI as a power tool and reflexively reach for it before doing things the slow…