About Tequipy
IT chaos is a systems problem. We're fixing it with AI. Tequipy builds an AI-first IT operations platform that manages the full lifecycle of company equipment and software — from onboarding to offboarding, from compliance to cost optimization — without spreadsheets, tickets, or manual babysitting.
We’re a small, agile and quite senior team with experience at Revolut and other leading tech companies. This isn’t a “pick up Jira tickets” kind of role, you’ll work like a Silicon Valley product engineer, taking end-to-end ownership of the product and the problems you solve. We also use Claude Code and other AI tools extensively, going far beyond autocomplete.
If you enjoy:
- Turning complex, real-world workflows into fast, reliable interfaces
- Shipping end-to-end with real ownership and leverage
You'll feel at home here.
Join us early. Help define the product, the architecture, and the future of AI-driven IT.
About the role
We're looking for an experienced back-end engineer to own the web application layer at Tequipy. This is a high-impact role with real ownership: you'll shape how our product is built, how it performs, and how it evolves as we scale. You'll work directly with other teams to ship a product that handles real enterprise complexity — with the speed and clarity that only a small, senior team can maintain.
AI tooling is a core part of how we work. We expect you to have it embedded in your workflow — not as a curiosity, but as a force multiplier.
What you'll do
Backend platform engineering
- Design and implement responsive, user-friendly interfaces and scalable backend services.
- Deliver full-stack features end-to-end, from technical design and implementation to production rollout.
- Build and evolve systems for global asset management, device delivery, HRIS integrations, and autonomous IT administration.
- Own architectural and technical improvements across the platform, focusing on reliability, extensibility, and long-term scalability.
- Collaborate with product designers and engineers to translate real-world IT workflows into well-designed product experiences.
- Participate in code reviews and contribute to a culture of engineering excellence and continuous improvement.
- Use AI tools to accelerate development, improve code quality, and optimize engineering workflows.
AI-assisted development
- Leverage AI coding tools (Cursor, GitHub Copilot, Claude Code, or equivalent) as a core part of your engineering workflow
- Evaluate and introduce new AI tooling that speeds up delivery without sacrificing quality
- Help establish team norms around AI-assisted development — what to automate, what to review, what to own
What we're looking for
- 3+ years experience on a similar position
- Preferably experience in small companies
- Extensive experience with one of languages - Typescript, Java or Kotlin
- Strong practical experience with Claude Code or any alternative—we generate a lot of code!
- Strong testing culture — engineers are responsible for testing the code they write
What we offer
- Compensation: up to 35,000 PLN net + VAT per month on a B2B contract. We are hiring for multiple seniority levels.
- 100% remote — work from wherever suits you
- Flexible working hours
- Paid time off (negotiated as part of the B2B agreement)
- Real impact on the product from day one — no ticket queues, no committee approvals
- Learning & development budget — courses, conferences, tools
- Modern stack and a culture without micromanagement
- A small, senior team with founders who've built and scaled before
Hiring process
1. CV and portfolio / GitHub review
2. Home Assignment: A practical task based on a real production problem to assess your problem-solving skills. The submission must be done in Kotlin/Java.
3. Culture Fit Call: A 20-minute conversation to align on the future goals.
4. Technical Interview: A 1-hour session to discuss the home assignment and explore general technical topics.
How to apply
Send your CV and links (GitHub, portfolio, or notable projects) to: talent@tequipy.com
In your application, highlight projects where you owned the front-end end-to-end — from architecture decisions to shipped UI. A short note on how you use AI tools in your daily workflow goes a long way.