
51 - 200 employees
Founded 2022
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
💰 $10.9M Series A - Sunhat on 2025-09
SaaS • Enterprise • Artificial Intelligence
Sunhat is a Germany-based SaaS company that provides a Collaborative Proof Platform to help enterprises collect, validate, and deliver verified ESG and compliance evidence. It connects to ERPs, carbon accounting, document stores and other systems to aggregate proof for assessments like EcoVadis, CDP, and CSRD, and uses Proof AI to surface source-linked answers, flag gaps, and automate responses to audits and customer questionnaires. The platform is aimed at enterprise sustainability, compliance, and GTM teams to reduce response times, improve ratings, and turn proof into a competitive advantage.
🕒 June 4
🇩🇪 Germany – Remote
💵 €60k - €95k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
👻 Ghost score 41%
🗣️🇩🇪 German Required
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51 - 200 employees
Founded 2022
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
💰 $10.9M Series A - Sunhat on 2025-09
SaaS • Enterprise • Artificial Intelligence
Sunhat is a Germany-based SaaS company that provides a Collaborative Proof Platform to help enterprises collect, validate, and deliver verified ESG and compliance evidence. It connects to ERPs, carbon accounting, document stores and other systems to aggregate proof for assessments like EcoVadis, CDP, and CSRD, and uses Proof AI to surface source-linked answers, flag gaps, and automate responses to audits and customer questionnaires. The platform is aimed at enterprise sustainability, compliance, and GTM teams to reduce response times, improve ratings, and turn proof into a competitive advantage.
• Drive generative and agentic AI initiatives from ideation through deployment • Develop robust, scalable solutions that integrate seamlessly with the platform • Work on text-generation tasks using agentic RAG, semantic similarity, and classification • Leverage state-of-the-art AI models and evaluate LLMs • Integrate language models into the platform • Orchestrate AI agents • Integrate GenAI models and agentic workflows with a focus on efficiency, security, and performance • Apply modern LLMOps practices and TDD • Ensure reliable, maintainable pipelines • Collaborate with Product Management, sustainability experts, and the Engineering team • Translate business requirements into high-performance, AI-powered product features • Integrate machine learning and AI-powered capabilities into the software solution
• Several years of hands-on experience applying Agentic AI and generative AI models such as Gemini, Mistral, Claude, Llama, or similar models, particularly for text-based tasks • Experience with Vertex AI is a plus • Expert-level TypeScript skills • Experience integrating language models into production systems, with a focus on reliability, scalability, and security • Expertise in Python is a plus, but not required • Experience building server-side components in TypeScript or Python • Understanding of client-server architecture • Experience with Angular and Nest.js is ideal • Knowledge of CI/CD practices, ideally with GitHub • Proven experience implementing AI in B2B SaaS applications • Deep understanding of security, data privacy, and performance tuning for machine learning and GenAI in cloud environments • Proficient in applying GenAI and AI agents • Understanding of advanced text generation, summarization, and other generative tasks for sustainability data • Willingness and ability to collaborate, participate in pair programming, and prioritize high-quality work through peer code reviews • Proactive and adaptable • Fluent in English
• Option to work fully remotely within Germany • Offices in Cologne, Berlin, and Hamburg • Competitive compensation package • Equity options • Family-friendly environment and a high degree of flexibility to support work-life balance • MacBook and the software you need • Professional development budget for courses, conferences, and more • €50 tax-free monthly benefit (Feel Good Budget) for shopping vouchers or an Urban Sports Club membership
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