Senior Software Engineer - Data & AI (all genders)

Alzenau, Bavaria, Germany

CMBlu Energy is on an exciting journey to become a global cleantech company. Our mission: To enable unlimited energy storage inspired by nature – for everyone, worldwide.

What are SolidFlow Batteries?

SolidFlow batteries store energy in organic molecules. The absence of explosive materials makes them safe, the use of socially and ecologically conflict-free raw materials sustainable, and the almost unlimited material availability scalable and inexpensive to procure. This makes our patented SolidFlow technology a game-changer in building a global climate-neutral energy system.

From Start-up to Scale-up: Let's Tackle It Together

CMBlu Energy is evolving from a research-focused start-up to a producing scale-up, on the verge of series production. Around 250 employees at CMBlu Energy are working towards this goal. Our headquarters are in Alzenau near Frankfurt, with a branch in Obernburg. We also have subsidiaries in Athens, Greece, and Petaluma, USA.

Your Mission

Do you want to build software, data pipelines, and AI that accelerate battery research? With us, you will develop the systems that turn our research, pilot, and production data into better materials and cells – and the AI tools our chemistry and electrochemistry teams use every day.

You are strong in software development, have a passion for data, and a real drive for AI in all its breadth – from LLMs and agents to classic machine learning. You combine clean engineering with Databricks, Azure, and Claude to create tools that don't exist off the shelf.

This will not only provide our research with data, but with answers – and the leverage to make the right decisions faster.

Your Tasks

Develop production-ready software – APIs, services, and internal web apps in modern Python (uv, FastAPI/uvicorn), with clean architecture, tests, and CI/CD; for example, analysis apps that researchers use to evaluate their test data, deployed as Databricks Apps via Asset Bundles and GitLab.
Develop AI applications for research – assistants and agents that support R&D in tasks such as research, hypothesis generation, material selection, and synthesis planning. You will combine LLMs and agents (including Claude via MCP) with scientific methods such as cheminformatics, retrosynthesis, and quantum chemistry – and continuously advance these tools.