We're looking for a Founding Backend Engineer with entrepreneurial DNA to build the API infrastructure that powers AI agent orchestration. You're a technical generalist who ships production code daily while shaping both our technology and engineering culture. You’re a life-long learner and lead with curiosity.

We believe in an AI-first mindset – not just in the products we build for customers, but in how we work. Use AI to 10x your productivity, automate tedious tasks, and ship faster than traditionally possible.

Our philosophy: Build pencils, not pens. Ship in weeks, not months. Let customer feedback and AI acceleration guide our iteration.

Tech Stack: Python, FastAPI, GraphQL, PostgreSQL, DynamoDB, AWS/ECS, Terraform, Databricks, WebSockets, Message Queues (SQS/Redis), Event-driven architectures

• Customer Impact – Build infrastructure that delivers AI magic to enterprise users

• AI-Powered Development – Use AI tools (Claude Code, Cursor, Copilot, etc.) to ship 10x faster

• Product Ownership – Shape product decisions, not just implement specs

• Technical Variety – APIs in the morning, agent orchestration after lunch, infrastructure by evening

• Entrepreneurial Environment – Your ideas matter, your impact is immediate

• Design and build APIs (FastAPI/GraphQL) for AI agent data access

• Implement event orchestration for multi-agent workflows (message queues, pub/sub, task management)

• Create MCP servers and async communication systems (SQS, Redis, event streams)

• Design database schemas optimized for customer access patterns

• Build real-time capabilities via WebSockets

• Think customer-first when designing developer experiences

• Use AI tools to accelerate development and automate repetitive tasks

• Partner with AI Architect and Data Engineer on system design

• Own infrastructure/DevOps when needed (startup life)

• 70%+ hands-on coding while making architectural decisions

• Generalist expertise – databases, APIs, infrastructure, queuing systems, and more

• Product mindset – build for customer delight, not technical elegance

• Startup experience – thrive in ambiguity, ship fast, make decisions with incomplete data

• AI-first approach – use AI to transform both what we build AND how we build it

• Python proficiency – ready to hit the ground running

• Event-driven systems – message queues, async patterns, distributed architectures

• Enterprise scale – built real production systems, not just prototypes

• Founded something or been employee #1-10

• Specific experience: Kafka, RabbitMQ, Celery, Temporal, vector DBs

• Built developer-loved APIs or AI-powered products

• Full-stack capabilities or polyglot programming

• Owner mentality – think like a founder

• AI acceleration – constantly ask "how can AI make this faster/better?"

• Customer obsessed – every technical decision serves the user

• Pragmatic builder – know when good enough beats perfect

• Self-directed – figure things out without hand-holding