Skip to content
mimi

KI & ML Engineer (m/w/d) im Kölner Startup

GreenPocket GmbH

Köln · Hybrid 2w ago

About the role

About Us

As an agile, green startup and specialist in energy management and visualization software, we are actively involved in shaping a sustainable, climate-neutral future. Our mission is to make energy consumption management so simple with intuitive, AI-driven software that it becomes a matter of course for everyone – whether a company or a private household. This enables energy providers and corporate customers to effectively reduce both energy consumption and their carbon footprint. With our currently around 35 talented colleagues, we are making the digitalization of the energy industry a real opportunity.

Since 2025, we have been part of the Hausheld Group: Together with Hausheld AG, Solandeo GmbH, and Mako365 GmbH, we form the first full-service platform for smart metering in Germany.

Your Opportunity

Are you an expert in AI and Machine Learning and want to apply your knowledge in an innovative company and contribute to the energy transition? Then you are exactly right with us!

Responsibilities

  • Further development of our product through AI integration based on modern LLM architectures (multi-model strategy with different large language models)
  • Conception, implementation, and optimization of RAG architectures (Retrieval Augmented Generation) using our own vector database for connecting domain-specific knowledge bases to LLMs
  • Design and development of an AI agent that actively supports end-users in operating the software (agentic workflows, tool-calling, memory handling, guardrails)
  • Conception of an integration agent that can automatically connect and configure 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
  • Building robust prompt and system architectures, including evaluation, testing, monitoring, and performance optimization
  • Implementation of evaluation frameworks for LLM outputs (quality, hallucination rate, relevance, cost/benefit)
  • Integration into existing backend and frontend systems, including API design, security, and scalability
  • Close and intensive collaboration with the CTO, CEO, Product Management, UX/UI, and Backend Team to define AI features with clear business added value

Requirements

  • You have successfully completed a degree in computer science or a comparable qualification that can impress us
  • At least 3 years of practical experience in implementing productive AI projects
  • Demonstrable experience with:
    • Large Language Models (Prompt Engineering, Fine-Tuning, RAG)
    • Embeddings and vector databases
    • API integration and backend development
    • Evaluation and monitoring of AI systems
  • Very good overview of the current LLM landscape (models, frameworks, agent approaches, open-source ecosystems)
  • Proficient in common tech stacks (e.g., Python, TypeScript/JavaScript, REST, containerization, cloud environments)
  • Experience in architectural decisions (scaling, cost optimization, security, data protection)
  • Structured, analytical approach and the ability to translate technical concepts into product added value

What We Offer

  • Intensive coaching and further training opportunities, as well as participation in the DevCom and Architecture Board
  • Permanent full-time employment with the opportunity to help shape the green startup scene
  • Startup atmosphere with plenty of scope for development, flat hierarchies, and short communication channels
  • Flexible working hours and, of course, the option to work from home
  • Take Your GreenDay! Leave everyday life behind and dedicate one day a month entirely to your own ideas
  • Regular team events and foosball breaks with motivated and friendly colleagues
  • Inexhaustible coffee and water supplies, as well as regular fresh fruit
  • Culturally, sportingly, and transport-wise very well-connected location

Our Tools & Technologies

  • Multi-LLM strategy (open-source and proprietary models)
  • Own vector database (embeddings, similarity search, chunking strategies)
  • RAG architectures including retrieval optimization
  • Agentic AI (tool use, orchestration, workflow automation)
  • API-based system integration
  • Cloud and container-based deployments

Apply Now

An energetic team is looking for reinforcement. Be a part of it – apply now!

If you are excited by the challenge of successfully shaping an innovative company, please send your complete application documents (cover letter, CV, university and employment references, including your possible start date and salary expectations) via email to Sofiya Kochekyan: jobs@greenpocket.de

Requirements

  • Mindestens 3 Jahre praktische Erfahrung in der Umsetzung produktiver KI-Projekte
  • Nachweisbare Erfahrung mit Large Language Models (Prompt Engineering, Fine-Tuning, RAG)
  • Nachweisbare Erfahrung mit Embeddings und Vektordatenbanken
  • Nachweisbare Erfahrung mit API-Integration und Backend-Entwicklung
  • Nachweisbare Erfahrung mit Evaluierung und Monitoring von KI-Systemen
  • Sehr guter Überblick über die aktuelle LLM-Landschaft (Modelle, Frameworks, Agent-Ansätze, Open-Source-Ökosysteme)
  • Sicherer Umgang mit gängigen Tech-Stacks (z. B. Python, TypeScript/JavaScript, REST, Containerisierung, Cloud-Umgebungen)
  • Erfahrung in Architekturentscheidungen (Skalierung, Kostenoptimierung, Security, Datenschutz)
  • Strukturierte, analytische Arbeitsweise sowie Fähigkeit, technische Konzepte in Produktmehrwert zu übersetzen

Responsibilities

  • Weiterentwicklung unseres Produkts durch KI-Integration auf Basis moderner LLM-Architekturen (Multi-Model-Strategie mit unterschiedlichen Large Language Models)
  • Konzeption, Implementierung und Optimierung von RAG-Architekturen (Retrieval Augmented Generation) unter Nutzung unserer eigenen Vektordatenbank zur Anbindung domänenspezifischer Wissensbestände an LLMs
  • Design und Entwicklung eines KI-Agents, der Endanwender aktiv bei der Bedienung der Software unterstützt (Agentic Workflows, Tool-Calling, Memory-Handling, Guardrails)
  • Konzeption eines Integrations-Agents, der Schnittstellen zu Kundensystemen (z. B. REST, Webhooks, Events) automatisiert anbinden und konfigurieren kann
  • Technische und strategische Bewertung (Buy vs. Build) im Bereich Intelligent Document Processing (IDP) inkl. Marktanalyse, PoCs und Architekturentscheidung
  • Aufbau robuster Prompt- und System-Architekturen, inkl. Evaluation, Testing, Monitoring und Performance-Optimierung
  • Implementierung von Evaluierungs-Frameworks für LLM-Outputs (Qualität, Halluzinationsrate, Relevanz, Kosten/Nutzen)
  • Integration in bestehende Backend- und Frontend-Systeme inkl. API-Design, Security und Skalierbarkeit
  • Enge und intensive Zusammenarbeit mit dem CTO, CEO, Produktmanagement, UX/UI und Backend-Team zur Definition von KI-Features mit klarem Business-Mehrwert

Benefits

CoachingWeiterbildungsmöglichkeitenTeilnahme an der DevComTeilnahme am Architecture-BoardFlexible ArbeitszeitenHome Office MöglichkeitTeameventsKaffeeWasserObst

Skills

APIAWS LambdaBackendCloudContainerisierungDockerEventsJavaScriptKILarge Language ModelsLLMMachine LearningMonitoringOpen-SourcePythonRAGRESTSecurityTypeScriptVektordatenbankenWebhooks

Don't send a generic resume

Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.

Get started free