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

Stuttgart

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.

Deploy & Integrate

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

Build Client-Specific Extensions

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

Retrieval & Agent Tuning

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

Infrastructure & Self-Hosted Deployments

Support and troubleshoot Kubernetes-based deployments (Docker, ArgoCD), cloud integrations, and IaC (Terraform)

Take full ownership of clients running self-hosted Blockbrain instances

Surface Product Gaps

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

Run Technical Workshops

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…