Artificial Intelligence Engineer
2 weeks ago
The Role
As a Senior Software Engineer, you will help design and build the next generation of Pantas' climate and ESG platform. You'll own meaningful parts of our backend and/or full stack, work closely with product, business analysts, and data science, and help define what "AI-first engineering" looks like for the team.
What you'll get to do
· Design, build, and maintain scalable backend and/or full-stack services for our platform.
· Turn AI-generated PRDs and implementation plans into secure, robust, production-grade systems.
· Integrate with external systems (banks, partners, customer data sources) and ensure data is clean, consistent, and auditable.
· Ship AI-assisted workflows and features that help customers collect, validate, and analyse their data.
· Collaborate with product, business analysts, and data science to rapidly prototype via AI, then iteratively refine into stable features.
· Contribute to system architecture, coding standards, and our AI engineering playbook for Pantas.
· Mentor other engineers in using AI tools effectively and help raise the bar for AI-native engineering across the team.
What you'll need to succeed
· Solid experience (typically 3-5 years) as a software engineer in backend or full-stack roles, comfortable owning features end-to-end.
· Strong skills in at least one modern backend stack (e.g. Python/Django, , etc.) and experience with SQL databases.
· Experience building web applications or APIs used in production environments.
· A habit of writing clean, maintainable code, with tests and monitoring.
· Comfort working in a fast-moving startup environment: shipping iteratively, handling ambiguity, and collaborating closely with non-engineering teammates.
- · AI-first mindset – you're excited to treat AI as part of your stack, not a separate tool. You're already using (or keen to master) coding assistants like Claude Code, Codex, GitHub Copilot, etc.
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