Senior GenAI Solution Engineer driving AI solutions lifecycle in a consulting firm. Building backend services and automating workflows in an international and agile environment.
Responsibilities
End-to-End Development: drive AI solutions across the full lifecycle - from rapid prototyping and proof-of-concept to deployment in scalable, highly available production environments
AI Services Engineering: build robust backend services in Python that integrate state-of-the-art LLMs and perform reliably under production load
Autonomous Agent Architecture: design and implement intelligent agent systems that automate real-world workflows through tool calling and memory management
Agentic SDLC: integrate AI agents into the development lifecycle - from AI-assisted coding and code reviews to automated testing and intelligent documentation
Ensuring Software Excellence: take ownership of code quality by applying clean architecture principles, implementing automated testing, and establishing efficient CI/CD pipelines
Evaluation & Monitoring: implement frameworks to measure the performance of GenAI solutions (e.g., accuracy, latency, cost) and ensure continuous optimization
Consulting: work directly with clients - facilitating workshops and acting as a sparring partner for business and management stakeholders
Technology Sparring: assess technical feasibility and advise stakeholders on how to turn innovative ideas into sustainable, production-ready products
Requirements
Excellent Python Skills (Production-Ready): strong expertise in API development (e.g., FastAPI, Pydantic), containerization (Docker), testing (unit and integration), Git and CI/CD
Rapid Prototyping: Ability to quickly build and visualize demos and proof-of-concepts
Hands-on Experience with Multimodal LLM APIs: proficient with leading models (e.g., OpenAI, Anthropic) and cloud platforms (e.g., Azure OpenAI, AWS Bedrock)
Advanced GenAI Engineering: strong command of prompt engineering, structured outputs (JSON), and tool/function calling
RAG Expertise (End-to-End): experience in building full pipelines - from embeddings and vector databases (e.g., pgvector) to advanced retrieval, re-ranking, and evaluation
Agent Development: experience in designing and orchestrating autonomous systems (e.g., with Pydantic AI)
Consulting Skills: experience working directly with clients, facilitating workshops, presenting results, navigating complex stakeholder environments
Languages: fluent in German, with professional proficiency in English
Education: completed degree in Computer Science, Mathematics, Physics, Data Science, Information Systems, or a comparable field (Bachelor’s degree or higher)
Willingness to travel: willing to work on-site at the client’s premises on a regular basis
Benefits
Flexible working hours and locations, including remote options
A supportive, flat-hierarchy environment with experienced international colleagues
Memorable company-wide events, both local and international
Company bike
Subsidized fitness memberships (EGYM Wellpass)
Targeted and individual training for your professional and personal development
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