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AI Software Engineer (m/w/d) ML, AI

Sunhat GmbH

Köln · On-site Mid Level €65k – €95k/yr 3w ago

About the role

About Sunhat GmbH

We are looking for a curious AI software engineer to join our small, highly effective, and deeply product-minded team focused on delivering immediate value to sustainability teams. We believe in high autonomy and high responsibility, building a foundation for scale. Our backend uses Nest.js and Postgres, while our frontend is built with Angular as a Single Page Application (SPA). We prioritize daily shipping and leveraging automation, emphasizing code quality through peer reviews and dedicated testing practices.

Role

At Sunhat GmbH we are looking for a ML, AI engineer!

Responsibilities

  • Drive generative and agentic AI initiatives from ideation to deployment, ensuring solutions are robust, scalable, and seamlessly integrated into our platform.
  • Work on generative and agentic AI, such as text generation with agentic RAG, semantic similarity, and classification, leveraging advanced models.
  • 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 products capabilities and usability.

Requirements

  • Proficient in GenAI and Agentic workflows: Multiple years of hands-on experience in applied AI such as generative models (Gemini, Mistral, Claude, Llama or similar) in production, particularly for text-based tasks. Experience with Vertex AI is a huge 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 but not a must.
  • Fullstack Development Skills: Skilled in building server-side components in TypeScript or Python. You understand the full spectrum of client-server architecture. Ideally, you have worked with frameworks like Angular and Nest.js before.
  • 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 worked on B2B SaaS applications and leveraged AI.
  • Data Security and Performance Optimization: Strong understanding of security, data privacy, and performance tuning specific to machine learning and GenAI in cloud environments.
  • GenAI 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.

Tech Stack

  • AI
  • Angular
  • Backend
  • CI/CD
  • Cloud
  • CTO
  • Frontend
  • Fullstack
  • GitHub
  • Machine Learning
  • Python
  • Security
  • TDD
  • TypeScript
  • Machine-Learning

Salary

65.000 - 95.000 € per year

Location

Escher Straße 25a, Cologne, Germany

Category

ML, AI Developer / Engineer

Requirements

  • Proficient in GenAI and Agentic workflows: Multiple years of hands-on experience in applied AI such as generative models (Gemini, Mistral, Claude, Llama or similar) in production, particularly for text-based tasks.
  • Experience with Vertex AI is a huge plus.
  • 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 but not a must.
  • Skilled in building server-side components in TypeScript or Python.
  • Understand the full spectrum of client-server architecture.
  • Ideally, you have worked with frameworks like Angular and Nest.js before.
  • Knowledge of CI/CD practices, ideally with GitHub, to streamline and automate model development and deployment.
  • You have worked on B2B SaaS applications and leveraged AI.
  • Strong understanding of security, data privacy, and performance tuning specific to machine learning and GenAI in cloud environments.
  • 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.
  • Values collaboration, engages in pair programming, and prioritizes high-quality work through peer code reviews.
  • Takes the lead on new projects, drives them to production, and continuously learns and improves based on outcomes.

Responsibilities

  • Drive generative and agentic AI initiatives from ideation to deployment, ensuring solutions are robust, scalable, and seamlessly integrated into our platform.
  • Work on generative and agentic AI, such as text generation with agentic RAG, semantic similarity, and classification, leveraging advanced models.
  • 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 products capabilities and usability.

Skills

AIAngularCI/CDCloudFullstackGenAIGitHubMachine LearningNest.jsPythonTDDTypeScriptVertex AI

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