About Shelf The enterprise is going agentic and we are creating a unique operating system for an automated future. Most AI agents break the moment they hit real business complexity. That’s why we built a platform that models a company's policies, workflows, and operational logic into an AI Data Model.

Shelf enables AI Agents to reliably reason and deliver precise and reliable outcomes at scale. We already have what most AI startups are still trying to earn: Enterprise customers such as Glovo, Nespresso, and HelloFresh, real production data, and tens of thousands of users. Customers trust us with operational knowledge: Our platform is highly reliable and secure with SOC2, HIPAA-ready security practices, and mature integrations in place.

Job Description: This role is for a senior backend engineer who can design and own business-critical systems. We want someone who is strong technically, communicates clearly, and has the judgment to make systems simpler, safer, and easier to evolve over time. Expect real ownership from system design through production.

The team is small enough for engineers to make real decisions. Career growth comes from ownership. Titles matter less than the scope you can carry.

The people who grow fastest take responsibility for larger systems, drive customer outcomes, and strive to develop better engineering practices. You solve ambiguous problems by shaping the right architectural approach, then ship, iterate, and keep it healthy in production. We build AI-native.

Engineers use Codex, Claude Code, and agents they build themselves. We invest in harness engineering through skills, CLIs, logs, traces, and orchestration. This is a role for someone in a high-growth chapter of their career, who wants to do the best work of their life, learn fast, and win as part of a team going all-in on a hard mission.

Location – Warsaw, work from the office.

Requirements

into concrete technical plans, trade-offs, and execution Own services after launch: reliability, observability, performance, and incident follow-through Instrument what you ship and use production signal to iterate, not just to keep the lights on Make sound decisions around system boundaries, data models, interfaces, and scaling paths Work closely with product, frontend, and platform engineers to deliver end-to-end outcomes Improve engineering leverage with AI tooling, automation, and internal workflows rather than using AI as a gimmick Raise the quality bar through code review, design review, and pragmatic technical leadership What Strong Performance Looks Like You reliably move important backend work forward without waiting to be tightly managed. Your systems are easier to operate and easier to change because of your design decisions. You make smart trade-offs to unblock shipping - and you stand by those decisions.

You keep raising the bar on engineering excellence for yourself and everyone else.

, handle sensitive data carefully, and think about the security implications of the systems and AI workflows you ship Ability to go from problem statement to design to production rollout with real ownership Clear written and verbal communication. You can explain systems, trade-offs, and incidents without hiding behind jargon AI-native working style.

What We Are Looking For

Strong senior-level backend engineering experience in production systems Strong Python skills and the ability to design clean, maintainable backend code Good distributed systems judgment: concurrency, failure handling, data consistency, async work, and service boundaries Hands-on experience with cloud infrastructure such as AWS, GCP, or Azure Comfort with database schema design and performance tuning for real-time and high throughput scenarios A security-conscious approach to engineering: you build for enterprise-grade

Senior Backend Python Engineer