• Proficient in GenAI and Machine Learning : Multiple years of hands-on experience in NLP and generative models (such as Gemini, Mistral, Llama or similar) in production, particularly for text-based tasks. Experience with Vertex AI is a plus.
• Programming and Model Integration Skills : Expertise in TypeScript and experience integrating language models into production systems with a focus on reliability, scalability, and security. Expertise in Python is a plus.
• Fullstack Development Skills : Skilled in building server-side components in TypeScript or Python. You understand the full spectrum of client-server architecture.
• LLMOps and CI/CD Experience : Knowledge of CI/CD practices, ideally with GitHub, to streamline and automate model development and deployment.
• SaaS experience : You have implemented AI in B2B SaaS applications.
• Data Security and Performance Optimization : Strong understanding of security, data privacy, and performance tuning specific to machine learning and GenAI in cloud environments.
• GenAI and NLP Expertise : Proficiency in applying GenAI to enhance user experiences, with a good grasp of advanced text generation, summarization, and other generative tasks relevant to sustainability data processing.
• Collaborative and Quality-Driven : Values collaboration, engages in pair programming, and prioritizes high-quality work through peer code reviews.
• Initiative and Adaptability : Takes the lead on new projects, drives them to production, and continuously learns and improves based on outcomes.

• Drive generative AI and machine learning initiatives from ideation to deployment, ensuring solutions are robust, scalable, and seamlessly integrated into our platform.
• Work on natural language processing and generative AI tasks, such as text generation, semantic similarity, and classification, leveraging advanced models, fine-tuning them for specific sustainability use cases.
• Collaborate closely with software engineers to integrate GenAI and traditional ML models directly into our platform, focusing on efficiency, security, and performance at scale.
• Utilize modern LLMOps practices and TDD to ensure reliable, maintainable pipelines, ensuring models can be rapidly iterated and deployed.
• Partner with product management, sustainability experts, and the engineering team to translate business requirements into powerful AI-driven features that enhance our product’s capabilities and usability.

• Flexible & Remote Work: Fully remote opportunities within Germany.
• Competitive Compensation & Equity: We offer competitive salary packages and equity options.
• Family-Friendly Environment: High flexibility to support work-life balance.
• Top Equipment & Tools: State-of-the-art technology setup.
• Continuous Learning: Educational budget for courses, conferences, and more.

We empower sustainability teams to make their work more productive and impactful.

With Sunhat, experts generate context-based and audit-proof content using AI—for ratings, certification, and non-financial reporting. Unify all your stakeholder reports, questionnaires, and certifications in one tool.

Sunhat eliminates the hassle of manually collecting, reviewing and maintaining sustainability evidence, so you can focus on your most impactful tasks.