Fullstack Engineer

The role

We’re hiring senior full-stack engineers who can own the engineering judgement behind our product. Our SDLC is heavily AI-enabled: often you’ll be handed a working prototype rather than starting from a blank file. Your job is to ensure the logic and performance are sound before it ships — and to own it in production once it does, including fixing bugs.

This is not a role where AI does the thinking for you. AI accelerates the build, and you act as the guardrail. You decide whether something is correct, performant, secure, and maintainable enough for enterprise customers — and you’re accountable once it’s live.

What you’ll do

• Take AI-generated prototypes from proof-of-concept to production-ready by validating logic, identifying edge cases, optimizing performance, and hardening weak points.
• Own features in production: you ship it, you own the bugs, and you fix them.
• Review AI-generated output to real engineering standards, as you would a strong junior engineer’s work.
• Work across the stack in Python on the backend (REST APIs, data modelling, integrations) and React + TypeScript on the frontend.
• Ensure security, data integrity, performance, and high-quality user experience for enterprise customers.
• Raise engineering standards through thoughtful reviews, mentorship, and improving AI-assisted development practices.

How we work

Our development process is heavily enhanced by AI, but engineers own every decision. AI writes much of the first draft; engineers decide what’s right, catch what’s wrong, and remain accountable for what ships. We mainly use Claude Code with additional skills and guidelines on top.

What we’re looking for

• 5+ years building and shipping production software as a full-stack engineer.
• Strong Python skills (we use Django; experience with mature Python web frameworks transfers well).
• Strong React and TypeScript skills.
• Ability to identify flawed logic, inefficient queries (e.g., N+1), missing edge cases, and scalability risks.
• Experience with relational data modelling, clean REST API design, and reasoning about performance and scale.
• Strong ownership mindset and accountability for production systems.
• Sound judgement on trade-offs and engineering quality.
• Openness to AI-enabled development workflows.
• Clear communication in English.

Nice to have

• Experience in B2B / enterprise SaaS, especially security, compliance, or data-heavy products.
• Experience with embedded analytics, data warehousing, or BI tooling.
• Experience leading AI initiatives that improved team velocity.

Vatix is an equal opportunity employer. We welcome applicants from all backgrounds.