Solutions Engineer (m/w/d)

🚀 About us

Blockbrain is an AI-driven B2B SaaS platform that elevates human knowledge with responsible AI. We empower organizations to create custom GenAI systems that not only help teams access information and knowledge faster and more accurately than ever before, but also leverage that knowledge to automate a wide range of knowledge work - on our no-code platform or fully customizable via our API. Led by an experienced team of serial entrepreneurs and technology experts, Blockbrain brings decades of expertise in AI, B2B SaaS, big data, process automation, and data security.

About the Role

We are seeking a highly motivated and entrepreneurial Senior Solutions Engineer to join our dynamic team. This client-facing role focuses on hands-on development of customized solutions, integrations, and prototypes to meet client needs, while collaborating closely with engineering and client success teams. You'll work directly with clients to deploy and optimize our full stack technology landscape, including TypeScript-based backend (Hono, Node.js, Nest.js), Python (FastAPI) services, and Next.js/React frontend. As a senior engineer, you'll apply software engineering principles to deliver scalable, client-specific implementations, with expertise in databases (SQL/NoSQL/graph), Kubernetes/AWS deployments, and AI/knowledge graph integrations. The ideal candidate is a technical powerhouse with strong communication skills, excelling at bridging engineering and client success to drive adoption and innovation.

📝 Responsibilities

Hands-On Solution Development: Design, develop, and deploy customized solutions, integrations, and proofs-of-concept using our stack—TypeScript with Hono, Node.js, and Nest.js; Python with FastAPI; and Next.js, React, and web components. Tailor features to client requirements, ensuring high performance, security, and seamless user experience.
Client-Facing Collaboration: Work directly with clients on demos, workshops, and technical consultations to identify needs and propose solutions. Collaborate with cross-functional teams (e.g., engineering, product) to prioritize and deliver client projects.
Software Design and Principles: Apply advanced software engineering practices, including SOLID principles, design patterns (e.g., MVC, Factory, Observer), and strategies for scalability and modularity, to create maintainable, client-optimized systems.
Infrastructure and Deployment Support: Assist clients with Kubernetes-based deployments, including container runtimes (e.g., Docker), orchestration with ArgoCD, and AWS integrations using Terraform for IaC. Troubleshoot and optimize client environments for scaling, monitoring, and reliability.
Database and Data Integration: Customize data solutions using general-purpose SQL databases (e.g., PostgreSQL, SQLite), NoSQL (e.g., MongoDB), and graph databases (e.g., Dgraph). Leverage knowledge graph approaches for efficient, client-specific data modeling, querying, and integration.
API and AI Customization: Develop and adapt REST APIs and GraphQL endpoints for client use cases. Collaborate on AI integrations, including fine-tuned LLMs for vector search and graph-based retrieval, to enhance knowledge graph features tailored to client needs.

🎓 Required Skills

Experience: Minimum 5-8 years in solutions engineering, full stack development, or a client-facing technical role, with proven ability to deliver client projects from ideation to deployment.
Technical Stack: Strong proficiency in TypeScript across the stack; backend experience with Hono, Node.js, Nest.js, and Python (FastAPI); frontend expertise in Next.js, React, and web components. Ability to rapidly prototype and customize solutions.
Software Engineering Principles: Deep understanding of general software design principles (e.g., SOLID, DRY, KISS), design patterns, clean architecture, unit/integration testing, and building scalable, client-adaptable systems.
Databases: Broad expertise in database technologies, including general-purpose SQL (e.g., PostgreSQL, SQLite) for relational data handling; NoSQL (e.g., MongoDB); and graph databases (e.g., Dgraph) with knowledge graph approaches for semantic data modeling and client integrations.
API Expertise: Hands-on experience developing and optimizing REST APIs and GraphQL schemas for custom client scenarios.
DevOps and Infrastructure: Proficiency in Kubernetes (including runtimes, pods, services, and scaling), ArgoCD, AWS services, Terraform for IaC, and tools for CI/CD, logging, and monitoring to support client deployments.
AI/ML Familiarity: Experience with LLMs, vector embeddings, graph-based retrieval, knowledge graph approaches, and adapting AI for client-specific use cases.
Client-Facing Skills: Excellent communication, presentation, and relationship-building abilities; experience in client consultations, demos, and collaborating on technical projects.

Preferred Skills

Entrepreneurial Mindset: An independent problem-solver who enjoys contributing to team initiatives and driving client-focused solutions.
Resilient and Goal-Oriented: You set ambitious client success goals and have a track record of achieving them in dynamic environments.
Courageous Innovator: Eager to propose tailored solutions, experiment with client feedback, and learn from challenges.
Pragmatic Executor: Bias for action, with excitement about rapid prototyping and delivering value to clients quickly.
Communicative: Confident in speaking up with clients and teams, collaborating cross-functionally, and explaining technical concepts clearly. Fluency in English is required; German is a plus. Certifications like AWS Solutions Architect or similar are a bonus.

💎 What we offer

Be part of a fast-growing company at the forefront of GenAIwith key responsibilities from day one.
Growth Opportunities: Significant opportunities for professional growth and development. Work with successful serial founders and tech experts.
Hybrid Work: Flexible work structure.
Culture - A flat hierarchy with unfiltered feedback loops.
International - A global environment with regular team events and off-sites.
Reward: Competitive compensation package with upside potential.

Blockbrain is an equal opportunity employer. We celebrate diversity and are committed to
creating an inclusive environment for all employees.