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 corporate carbon emissions by building AI-powered tools that help companies measure and reduce their carbon footprint faster, addressing one of the biggest levers to fight the climate crisis.

• 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
• Freedom to contribute to open source, team events, and a mission-driven culture

Global Changer is a climate tech company that builds a SaaS B2B platform for carbon accounting (Corporate Carbon Footprint and Product Carbon Footprint), helping large organizations reduce emissions faster. Backed by notable investors and serving customers like Heraeus, Tchibo, and Haniel.