Machine Learning Engineer responsible for implementing and maintaining data science models in bpx’s machine learning studio. Bridging data science and computational needs to achieve business outcomes.
About the role
- AI & ML Engineer enhancing energy management software solutions at GreenPocket GmbH. Focusing on modern LLM architectures and AI integration for innovative user experience.
Responsibilities
- Further develop our product by integrating AI based on modern LLM architectures (multi-model strategy using different large language models)
- Design, implement and optimize RAG architectures (Retrieval-Augmented Generation), utilizing our own vector database to connect domain-specific knowledge bases to LLMs
- Design and develop an AI agent that actively assists end users in operating the software (agentic workflows, tool-calling, memory handling, guardrails)
- Design an integration agent capable of automatically connecting and configuring interfaces to customer systems (e.g., REST, webhooks, events)
- Technical and strategic evaluation (buy vs. build) in the area of Intelligent Document Processing (IDP), including market analysis, PoCs and architectural decisions
- Build robust prompt and system architectures, including evaluation, testing, monitoring and performance optimization
- Implement evaluation frameworks for LLM outputs (quality, hallucination rate, relevance, cost/benefit)
- Integrate into existing backend and frontend systems, including API design, security and scalability
- Work closely with the CTO, CEO, product management, UX/UI and backend teams to define AI features with clear business value
Requirements
- You hold a degree in computer science or a comparable qualification that demonstrates relevant expertise
- At least 3 years of hands-on experience implementing production AI projects
- Demonstrable experience with large language models (prompt engineering, fine-tuning, RAG)
- Experience with embeddings and vector databases
- API integration and backend development
- Evaluation and monitoring of AI systems
- Strong overview of the current LLM landscape (models, frameworks, agent approaches, open-source ecosystems)
- Proficiency with common tech stacks (e.g., Python, TypeScript/JavaScript, REST, containerization, cloud environments)
- Experience making architectural decisions (scaling, cost optimization, security, data protection)
- Structured, analytical working style and ability to translate technical concepts into product value
Benefits
- Intensive coaching and professional development opportunities
- Permanent employment with the opportunity to help shape the green startup scene
- Startup atmosphere with lots of creative freedom, flat hierarchies and short decision paths
- Flexible working hours and the ability to work from home
- Take Your GreenDay! Leave day-to-day tasks behind and dedicate one day per month to your own ideas
- Regular team events and foosball breaks with motivated and friendly colleagues
- Unlimited coffee and water, plus regular fresh fruit
- Conveniently located with excellent cultural, sports and transport connections
Job title
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