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

in 70173, Stuttgart, Baden-Württemberg, Deutschland
Unternehmen: Blockbrain GmbH
Vollzeit position
Verfasst am 2026-09-07
Berufliche Spezialisierung:
  • Software Entwicklung
    Künstliche Intelligenz Ingenieur, Backend Entwicklung, Full Stack Entwickler, Software-Architekt
Gehalts-/Lohnspanne oder Branchenbenchmark: 70000 - 105000 EUR pro Jahr EUR 70000.00 105000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: Senior Forward Deployed Engineer (m/f/d)

About Blockbrain

For mid‑size 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.

Role & Responsibilities

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

  • Translate domain requirements into retrieval architecture decisions

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

Expected AI Skills

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 way.

Your Profile

Professional

Experience:

5+years in solutions engineering, full‑stack development, or a client‑facing technical role with proven ability to deliver projects from ideation to deployment

Communication: Excellent presentation and relationship‑building skills; confident leading client consultations, demos, and technical…

Stellen-Anforderungen
10+ Jahre Berufserfahrung
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