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're looking forward to hearing from you!