17.12.2025 aktualisiert


100 % verfügbar
Senior Fullstack KI Engineer
Adelshofen, Deutschland
Deutschland +2
M. Sc. Radiophysikinfo: Deutschland, Österreich, Schweiz
Über mich
Ich bin Senior Full-Stack AI Engineer mit 20+ Jahren Erfahrung in Web+Cloud-Systemen sowie AI/LLM-Lösungen. Meine Kernkompetenzen sind TypeScript, React, Node.js, Python, AWS sowie GenAI, RAG Agentic KI. Ich setze KI-Assistenten zur Steigerung von Qualität und Entwicklungsgeschwindigkeit ein.
Skills
Microsoft AccessAdobe FlashJavaScriptCADUser Experience (UX)Adobe Creative SuiteAdobe Photoshop LightroomAjaxApache HTTP ServerApache TomcatAtlassian ConfluenceAtlassian JiraHTML5MixerCSS
- AI: Generative and Agentic AI, RAG, NLP, LLM, Vector and semantic search, Prompt Engineering, OpenAI, Embeddings, Private LLM, Inferences
- Frontend: Typescript, React, Svelte, JavaScript, Next.js, HTML5, CSS3, Cypress, Jest, TDD
- Backend: Python, Node.js, REST APIs, Microservices, Websockets, WebRTC
- Databases: Chroma DB, Qdrant, NoSQL, RDS, DynamoDB, MongoDB, MySQL, PostgreSQL, pgvector
- Cloud & DevOps: AWS, OpenSearch, Docker, GitHub, GitLab, SaaS, Lambdas, CI/CD
Sprachen
DeutschverhandlungssicherEnglischverhandlungssicher
Projekthistorie
- Built a real-time, voice-enabled GenAI assistant for product consultants, integrating LLMs, RAG, semantic search, and inference pipelines to support rapid information retrieval
- Designed and implemented SOA-based agentic AI workflows using Novita, OpenAI, and Ollama
- Developed a full-stack platform using Open WebUI and LiveKit Frameworks, Python, Svelte, WebRTC and TypeScript, deployed via Docker and GitHub CI/CD
- Delivered scalable vector-search capabilities using PostgreSQL + pgvector
- Actively incorporated AI assistants into the engineering workflow to accelerate prototyping and code delivery
- Developed a global eCommerce platform supporting 150,000+ products across 70+ markets
- Utilized AI code assistants and automated tooling, significantly improving code quality and delivery speed
- Mentored three junior engineers, improving code quality by 15% and establishing robust engineering practices (SOC, DRY, KISS, YAGNI)
- Contributed across frontend, backend, and cloud components, strengthening platform scalability and reliability
- Led the front-end development of the MAN Simple Pay payment-in-truck system, transforming wireframes and POC into a fully functional MVP, showcased with a great success at IAA 2022 in Hannover
- Mentored a junior developer, led pair programming, improving code quality by 20%
- Transitioned from full-stack TypeScript development to designing and deploying scalable solutions using AWS cloud technologies and microservices