Senior Forward Deployed Engineer

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 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

Your mission

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

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.

Why us?

• Flexible Work Models: Work where and when you do your best work. You're on-site in Stuttgart 3 days a week, with flexible working hours. After probation, you can also work from abroad for up to 8 weeks per year.
• Benefits That Make a Difference: Deutschland-Ticket, Wellpass fitness membership, access to the latest AI tools, and regular company and team off-sites that bring us together.
• Top Team: Work with an international team of exceptional people who raise the bar every day and love building together.
• High Growth Potential: Don't just shape processes, shape the company. You'll learn fast, take real ownership, and influence where we go next in a fast-growing AI startup.
• Top Equipment: MacBook, iPhone, headset, and every tool you need to do your best work, from day one.
• Very Competitive Package: We offer a highly competitive package overall: a strong fixed salary plus a variable component that rewards the impact you create.
• Salary: 75.000-85.000€ fix + 15.000-25.000€ variable