onsite
AI & Agentic Systems Engineer LLM Automation & Knowledge Systems - NeXaT GmbH
Systems Engineer
Lead the design and deployment of LLM‑driven automation and knowledge systems, integrating advanced machine learning models with scalable cloud infrastructure to deliver intelligent agentic solutions.
About the role
Key Responsibilities
- Architect and implement large language model (LLM) pipelines for automated knowledge extraction and reasoning.
- Develop and maintain knowledge graph infrastructures to support semantic search and inference.
- Integrate ML models with cloud services (AWS) ensuring high availability and performance.
- Collaborate with cross‑functional teams to define data requirements and evaluate model outputs.
- Automate data ingestion, preprocessing, and model training workflows using Python and modern tooling.
Requirements
- Strong experience in Python and machine learning frameworks.
- Hands‑on expertise with LLMs (e.g., GPT, LLaMA) and fine‑tuning techniques.
- Proficiency in building and querying knowledge graphs (e.g., Neo4j, RDF).
- Solid understanding of AWS services (SageMaker, Lambda, S3, ECS).
- Excellent problem‑solving skills and ability to translate business needs into technical solutions.
Skills
pythonmachine learningllmaws