Senior Forward Deployed Engineer
Forward Deployed Engineer at Blockbrain: embedded with clients to deploy, integrate, and extend their AI agent/knowledge platform — writing production TypeScript/Node.js and Python integrations, tuning vector retrieval pipelines, and owning Kubernetes/Terraform self-hosted deployments. On-site in Stuttgart or Hamburg (3 days/week), using AI tools daily.
- Compensation
- Not disclosed
- Location
- Stuttgart
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- 5+ years
- Category
- Solutions engineering
- Posted
Skills
Must have
- 5+ years in solutions engineering, full-stack development, or a client-facing technical role
- Excellent presentation and relationship-building skills; confident leading client consultations, demos, and technical workshops in German (at least B2) and English
- Strong TypeScript proficiency across the stack; eager to pick up new technologies and infrastructure quickly
- Bias for action and pragmatic execution; thrives in ambiguous, dynamic environments
- Able to manage multiple concurrent client engagements without external project management
- Degree in Computer Science, Software Engineering, or a related field — or equivalent practical experience
- Hard skills: TypeScript/Node.js, Python, REST APIs, GraphQL, Kubernetes, Docker, ArgoCD, Terraform, PostgreSQL, MongoDB, vector databases, LLM/embedding pipelines, CI/CD tooling (Sentry, Grafana, Data
- Entrepreneurial, resilient, goal-oriented; communicates technical concepts clearly across all levels
Nice to have
- Familiarity with LLMs, data processing, and coding agents
Full description
- 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 workshops in German (at least B2 level needed) and English
- Tech Affinity: Jack of all trades with strong TypeScript proficiency across the stack; eager to pick up new technologies and infrastructure quickly. Familiarity with LLMs, data processing, and coding agents is ideal
- Solution Orientation: Bias for action and pragmatic execution — you prototype rapidly, deliver value to clients quickly, and thrive in ambiguous, dynamic environments
- Organizational Talent: Able to manage multiple concurrent client engagements, coordinate across Product and Engineering teams, and keep deployments on track without external project management
- Education: Degree in Computer Science, Software Engineering, or a related field — or equivalent practical experience
- Hard Skills: TypeScript/Node.js, Python, REST APIs, GraphQL, Kubernetes, Docker, ArgoCD, Terraform, PostgreSQL, MongoDB, vector databases, LLM/embedding pipelines, CI/CD tooling (Sentry, Grafana, Datadog)
- Soft Skills & Mindset: Entrepreneurial, resilient, and goal-oriented. An independent problem-solver who proposes tailored solutions, experiments with client feedback, learns from challenges, and communicates technical concepts clearly across all levels
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 (TypeScript/Node.js, Python/FastAPI, Next.js)
- Tailor the platform to client data models, auth systems, and business processes