The Role

We're looking for an AI Engineer who wants to work on production AI systems that actually ship to users. You'll evolve our AI/ML infrastructure - from document ingestion pipelines to RAG retrieval to knowledge graph extraction.

This is a systems-focused AI role. You'll work across the full stack: designing embedding strategies, optimizing vector search, building agent workflows, and ensuring our AI features are fast, accurate, and reliable in production.

What You'll Work On

• Intelligent Document Understanding
• AI-Powered Workflows
• Knowledge Graph & Structured Data
• Workspace Intelligence
• Production AI Infrastructure

Our Stack

What We're Looking For

Required

AI/ML Fundamentals

• Strong understanding of embedding models, vector search, and similarity metrics
• Experience building RAG systems (not just OpenAI API wrappers)
• Familiarity with evaluation metrics (MRR, NDCG, precision@k, F1)
• Understanding of prompt engineering and LLM limitations

Python Engineering

• Production Python experience (async/await, type hints, pydantic)
• Comfortable with numpy, pandas, or similar data manipulation libraries
• Experience with testing and CI/CD
• Ability to profile and optimize performance bottlenecks

Systems Thinking

• Understanding of latency/cost tradeoffs in production AI systems
• Ability to debug complex async pipelines
• Comfort reading research papers and implementing new techniques

Pragmatism

• You ship code that works, not just research experiments
• You balance quality with velocity
• You're comfortable with "good enough" when appropriate
• You can explain technical tradeoffs to non-technical stakeholders

Nice to Have

What Makes This Role Different

You'll Work on Real Problems

• Not just toy datasets - real business workflows with messy documents, complex forms, and diverse data types
• Production systems where latency, accuracy, and cost all matter
• Multi-tenant architecture serving diverse industries and use cases

You'll Build Product, Not Just Features

• AI isn't a feature here - it's foundational to how workspaces adapt and workflows execute
• You'll design how AI enables customization (smart templates, workflow suggestions, auto-configuration)
• Your work directly impacts whether users can replace 3-4 different tools with one intelligent platform

Our Workplace Rocks

• We are a product team of 8 devs, 2 UX/UI designers.
• We are established, we aren't struggling month to month.
• Great office space with; lunch, a fridge that magically keeps filling itself, and top tier work equipment.

You'll Solve Diverse AI Problems

• Not just RAG: document generation, form extraction, workflow automation, template matching, entity resolution
• Work across graph databases, vector search, LLM agents, structured data, and traditional ML
• Exposure to full-stack development (FastAPI backend, React frontend, ArangoDB graph queries)
• Balance research (reading papers, trying new models) with engineering (making it production-ready)

You'll Have Autonomy

• We hire smart people and trust them to make good decisions
• You'll propose and drive AI initiatives based on user needs and product vision
• Flexible about tools and approaches - use what works for the problem at hand

Our Engineering Culture

Code Quality Matters

• We have a 5-layer backend architecture with clear separation of concerns
• Strong typing (Pydantic models, TypeScript)
• Comprehensive test coverage with pytest and automatic cleanup
• Pre-commit hooks and CI/CD to catch issues early

Documentation is First-Class

• We maintain extensive docs (architecture, conventions, examples)
• Code reviews focus on clarity and maintainability
• We write context documents for complex systems

We Delete Code

• "No code is the best code" - we're not precious about our work
• We refactor aggressively when patterns emerge
• We delete unused features rather than letting them rot

We Ship

• Blue-green deployments with zero downtime
• Comprehensive monitoring and error tracking
• Fast iteration cycles - changes go live in days, not months

We work closely together in our Oslo office and aren't set up for remote hiring. Please only apply if you're currently based in Oslo.

We're looking forward to hearing from you!