Senior Backend Engineer - AI Agents - Climate Tech (all genders)

• Design and implement agent-based LLM systems (tool calling, orchestration) for carbon footprint workflows
• Apply RAG to ground AI outputs in internal data and define evaluation/quality control patterns
• Combine AI-driven logic with rule-based mechanisms for reproducibility and reliability
• Own backend services for AI-driven PCF and CCF workflows, ensuring code quality and knowledge sharing

This role directly contributes to reducing global emissions by building AI-powered tools that help companies accurately measure and reduce their carbon footprint, accelerating climate action at scale.

• 5+ years of backend software development experience
• Strong Python skills and proven track in agent development in a professional environment
• Strong familiarity with agent frameworks (RAG, tool-calling, function-calling, agent design patterns)
• Experience balancing performance, cost, and accuracy in production environments; fluent in English; EU residence with valid work permit

• Fair compensation: €70,000 - €80,000 gross annually depending on experience
• 28 vacation days, flexible working hours, 100% remote within CET ±1
• Family-friendly policies, freedom to contribute to open source, team events

Global Changer is a climate tech company that builds a SaaS B2B platform for carbon accounting, helping large organizations reduce emissions faster. Backed by notable investors, they work with customers like Heraeus, Tchibo, and Haniel.