AI Engineer ? Agentic LLM Systems, Multi-Agent Architectures & RAG (LangGraph, LangChain)
Aktualisiert am 11.06.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 15.06.2026
Verfügbar zu: 100%
davon vor Ort: 100%
Fullstack
RAG
Künstliche Intelligenz
KI / LLM (Kernkompetenz): LangGraph
LangChain
Multi-Agent-Systeme
Agentic RAG
Hybrid Retrieval
Vector Search (Pinecone/Chroma/Qdrant)
OpenAI API
Anthropic API
Tool-Use / Function Calling
LLM-Evaluation
Prompt Engineering
Fine-Tuning (Basics) Softwareentwicklung: Python (Expert)
TypeScript
FastAPI
Next.js
React
SQL
SQLite
PostgreSQL
Git
German
Muttersprache
English
Fluent, C1/C2
Cantonese / Mandarin
Grundkenntnisse

Einsatzorte

Einsatzorte

Munich (+100km) Ingolstadt, Donau (+50km) Nuremberg (+50km) Hamburg (+50km)
Deutschland, Schweiz
möglich

Projekte

Projekte

7 months
2025-10 - 2026-04

Architected a 5-agent LangGraph system

AI Engineer
AI Engineer

  • Architected a 5-agent LangGraph system (LangChain, Azure OpenAI, FastAPI, PostgreSQL) automating the complete TRIZ engineering innovation workflow end-to-end
  • Formal evaluation vs. Level 3 TRIZ expert: zero methodological errors, quality score 4.07 vs. 3.29 (p = 0.0005), 87.5% routing accuracy, 100% RAG fidelity, 4.7/5 usability ? 60%+ reduction in ideation time
  • Implemented RAG pipeline (Azure OpenAI embeddings + pgvector), structured output parsing, and chain-of-thought reasoning across all agent handoffs

ams OSRAM
Regensburg, Germany
1 year 1 month
2023-06 - 2024-06

Built Python/JavaScript automation tools

Full-Stack Developer
Full-Stack Developer

  • Built Python/JavaScript automation tools for Life Cycle Assessment data standardisation, saving 40+ engineering hours per month
  • Architected data analysis web applications on AWS (EC2, S3, Lambda); deployed containerised services with Docker
  • Developed ETL pipelines consolidating LCA data from multiple supplier formats; led bi-weekly demos to stakeholders in an Agile/Scrum team of 8

Vitesco Technologies
Regensburg, Germany
5 months
2021-04 - 2021-08

Engineered modular React frontends and Java Spring Boot backends

Web Developer
Web Developer

  • Engineered modular React frontends and Java Spring Boot backends for enterprise data-management platforms
  • Implemented Elasticsearch for high-performance full-text search across large-scale datasets

e:fs TechHub GmbH
Regensburg, Germany
1 year 3 months
2020-02 - 2021-04

Developed full-stack traffic prediction application

AI Software Developer
AI Software Developer

  • Developed full-stack traffic prediction application (LSTM + feedforward NN, Angular map) ? full ML pipeline from data ingestion to live deployment
  • Trained and optimised models improving prediction accuracy over legacy systems

e:fs TechHub GmbH
Regensburg, Germany

Aus- und Weiterbildung

Aus- und Weiterbildung

3 years 3 months
2023-03 - 2026-05

M.Sc. Computer Science, OTH Regensburg (2026)

M.Sc. Computer Science, Grade: 1.5 (German scale; 1.0 = best, equivalent to Distinction) , OTH Regensburg, Germany
M.Sc. Computer Science, Grade: 1.5 (German scale; 1.0 = best, equivalent to Distinction) 
OTH Regensburg, Germany

Focus:

  • Software Engineering
  • Machine Learning
  • Thesis: Available upon request

1 year
2024-08 - 2025-07

M.Sc. Data Analytics & AI, Hong Kong Baptist University (2025) ? Fellowship

Master, Hong Kong
Master
Hong Kong
4 years
2019-03 - 2023-02

B.Sc. Informatik, OTH Regensburg (2023)

Bachelor, Regensburg
Bachelor
Regensburg

Position

Position

  • AI ENGINEER
  • LLM SYSTEMS
  • FULL-STACK DEVELOPER

Kompetenzen

Kompetenzen

Top-Skills

Fullstack RAG Künstliche Intelligenz KI / LLM (Kernkompetenz): LangGraph LangChain Multi-Agent-Systeme Agentic RAG Hybrid Retrieval Vector Search (Pinecone/Chroma/Qdrant) OpenAI API Anthropic API Tool-Use / Function Calling LLM-Evaluation Prompt Engineering Fine-Tuning (Basics) Softwareentwicklung: Python (Expert) TypeScript FastAPI Next.js React SQL SQLite PostgreSQL Git

Produkte / Standards / Erfahrungen / Methoden

Profile:

  • AI engineer specialising in multi-agent LLM systems and full-stack development
  • Double M Sc in Data Analytics & AI (HKBU, Hong Kong) and Computer Science (OTH Regensburg, Germany)
  • Built a 5-agent LangGraph system formally evaluated against a domain expert ? statistically significant quality advantage (p = 0.0005), zero methodological errors, 60%+ productivity gain
  • IANG visa holder in Hong Kong (no sponsorship required), available immediately


AI / LLMs:

LangChain, LangGraph, Azure OpenAI, RAG (pgvector), Fine-tuning, Prompt Engineering, Multi-agent orchestration


Web & Cloud:

React, Next.js, FastAPI, Node.js, Spring Boot, Angular, AWS (EC2 / S3 / Lambda), Azure, Docker


Methods:

Agile / Scrum, CI/CD, Git, Statistical evaluation (Wilcoxon signed-rank, hypothesis testing)


Professional background:

2024 ? 2025:


Tasks:

  • Interactive LLM Learning Platform
  • HKBU Capstone Project
    • Tutoring assistant using RAG + fine-tuned LLMs (TinyLlama, Flan-T5, GPT-4)
    • automated student assessment, knowledge retention tracking, and adaptive feedback loops


2022 ? 2023:
Place of Work:  Regensburg
Customer: OTH Regensburg


Tasks:

B Sc Thesis: Available upon request

  • Full-stack React / Java Spring platform for automated bus routing
  • reduced station search from O(n) to O(log n) via KD-Trees
  • real-time routing with Mapbox + OSRM

Programmiersprachen

Python
JavaScript
Java
SQL
TypeScript

Datenbanken

PostgreSQL + pgvector
MongoDB
Elasticsearch

Einsatzorte

Einsatzorte

Munich (+100km) Ingolstadt, Donau (+50km) Nuremberg (+50km) Hamburg (+50km)
Deutschland, Schweiz
möglich

Projekte

Projekte

7 months
2025-10 - 2026-04

Architected a 5-agent LangGraph system

AI Engineer
AI Engineer

  • Architected a 5-agent LangGraph system (LangChain, Azure OpenAI, FastAPI, PostgreSQL) automating the complete TRIZ engineering innovation workflow end-to-end
  • Formal evaluation vs. Level 3 TRIZ expert: zero methodological errors, quality score 4.07 vs. 3.29 (p = 0.0005), 87.5% routing accuracy, 100% RAG fidelity, 4.7/5 usability ? 60%+ reduction in ideation time
  • Implemented RAG pipeline (Azure OpenAI embeddings + pgvector), structured output parsing, and chain-of-thought reasoning across all agent handoffs

ams OSRAM
Regensburg, Germany
1 year 1 month
2023-06 - 2024-06

Built Python/JavaScript automation tools

Full-Stack Developer
Full-Stack Developer

  • Built Python/JavaScript automation tools for Life Cycle Assessment data standardisation, saving 40+ engineering hours per month
  • Architected data analysis web applications on AWS (EC2, S3, Lambda); deployed containerised services with Docker
  • Developed ETL pipelines consolidating LCA data from multiple supplier formats; led bi-weekly demos to stakeholders in an Agile/Scrum team of 8

Vitesco Technologies
Regensburg, Germany
5 months
2021-04 - 2021-08

Engineered modular React frontends and Java Spring Boot backends

Web Developer
Web Developer

  • Engineered modular React frontends and Java Spring Boot backends for enterprise data-management platforms
  • Implemented Elasticsearch for high-performance full-text search across large-scale datasets

e:fs TechHub GmbH
Regensburg, Germany
1 year 3 months
2020-02 - 2021-04

Developed full-stack traffic prediction application

AI Software Developer
AI Software Developer

  • Developed full-stack traffic prediction application (LSTM + feedforward NN, Angular map) ? full ML pipeline from data ingestion to live deployment
  • Trained and optimised models improving prediction accuracy over legacy systems

e:fs TechHub GmbH
Regensburg, Germany

Aus- und Weiterbildung

Aus- und Weiterbildung

3 years 3 months
2023-03 - 2026-05

M.Sc. Computer Science, OTH Regensburg (2026)

M.Sc. Computer Science, Grade: 1.5 (German scale; 1.0 = best, equivalent to Distinction) , OTH Regensburg, Germany
M.Sc. Computer Science, Grade: 1.5 (German scale; 1.0 = best, equivalent to Distinction) 
OTH Regensburg, Germany

Focus:

  • Software Engineering
  • Machine Learning
  • Thesis: Available upon request

1 year
2024-08 - 2025-07

M.Sc. Data Analytics & AI, Hong Kong Baptist University (2025) ? Fellowship

Master, Hong Kong
Master
Hong Kong
4 years
2019-03 - 2023-02

B.Sc. Informatik, OTH Regensburg (2023)

Bachelor, Regensburg
Bachelor
Regensburg

Position

Position

  • AI ENGINEER
  • LLM SYSTEMS
  • FULL-STACK DEVELOPER

Kompetenzen

Kompetenzen

Top-Skills

Fullstack RAG Künstliche Intelligenz KI / LLM (Kernkompetenz): LangGraph LangChain Multi-Agent-Systeme Agentic RAG Hybrid Retrieval Vector Search (Pinecone/Chroma/Qdrant) OpenAI API Anthropic API Tool-Use / Function Calling LLM-Evaluation Prompt Engineering Fine-Tuning (Basics) Softwareentwicklung: Python (Expert) TypeScript FastAPI Next.js React SQL SQLite PostgreSQL Git

Produkte / Standards / Erfahrungen / Methoden

Profile:

  • AI engineer specialising in multi-agent LLM systems and full-stack development
  • Double M Sc in Data Analytics & AI (HKBU, Hong Kong) and Computer Science (OTH Regensburg, Germany)
  • Built a 5-agent LangGraph system formally evaluated against a domain expert ? statistically significant quality advantage (p = 0.0005), zero methodological errors, 60%+ productivity gain
  • IANG visa holder in Hong Kong (no sponsorship required), available immediately


AI / LLMs:

LangChain, LangGraph, Azure OpenAI, RAG (pgvector), Fine-tuning, Prompt Engineering, Multi-agent orchestration


Web & Cloud:

React, Next.js, FastAPI, Node.js, Spring Boot, Angular, AWS (EC2 / S3 / Lambda), Azure, Docker


Methods:

Agile / Scrum, CI/CD, Git, Statistical evaluation (Wilcoxon signed-rank, hypothesis testing)


Professional background:

2024 ? 2025:


Tasks:

  • Interactive LLM Learning Platform
  • HKBU Capstone Project
    • Tutoring assistant using RAG + fine-tuned LLMs (TinyLlama, Flan-T5, GPT-4)
    • automated student assessment, knowledge retention tracking, and adaptive feedback loops


2022 ? 2023:
Place of Work:  Regensburg
Customer: OTH Regensburg


Tasks:

B Sc Thesis: Available upon request

  • Full-stack React / Java Spring platform for automated bus routing
  • reduced station search from O(n) to O(log n) via KD-Trees
  • real-time routing with Mapbox + OSRM

Programmiersprachen

Python
JavaScript
Java
SQL
TypeScript

Datenbanken

PostgreSQL + pgvector
MongoDB
Elasticsearch

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