Must have

• Python

• Git

• FastAPI

• REST

• English (C1)

• Polish (Fluent)

Nice to have

• AI

• Stripe

• MCP

• Twilio

Requirements description

You Might Be a Good Fit If…

• Have deep python experience proven by building backends serving thousands of users
• Have worked on or with agentic AI systems — Lanegraph, Letta (former memGPT), Google’s agent framework, CrewAI, LangGraph, etc.
• You can lead a feature delivery from a concept to delivery to production not forgetting about observability and measuring impact on users
• Have experience managing AI memory systems, context injection, embeddings, or hybrid memory architectures
• Understand real-time, user-facing product architecture — how infrastructure and UX are deeply linked
• Have strong product instincts and care about the people you’re building for
• Thrive in fast-moving startup environments where you can be both player and coach
• Have experience building and scaling early-stage systems and writing code that lasts

Tech Stack

• Python

• FastAPI (everything’s typed and async)

• PostgreSQL (managed via SQLAlchemy + Alembic)

• Redis (caching, queuing)

• OpenAI, Claude, Leta, custom tooling

Offer description

We’re hiring a zero-to-one backend engineer who’s equal parts architect and builder — someone who can design elegant infrastructure, ship real-time product features, and push the boundaries of agentic intelligence.

You’ll lead development on the core backend infrastructure that powers:

• Multi-agent orchestration (user agents, client agents, task flows)
• Secure and scalable systems built on top of FastAPI + Postgres
• Integration of external APIs: Twilio (SMS), Stripe, Google Calendar, etc.
• Performance tuning, observability, and reliability of our core AI assistant