onsite
AWS AI & Data Engineer - Reply Deutschland SE
Data Engineer
Design and deliver end‑to‑end AI solutions on AWS, building scalable data pipelines, AI agents and RAG architectures using services such as SageMaker, Lambda, Glue and Bedrock with MLOps/LLMOps best practices.
About the role
Key Responsibilities
- Develop end‑to‑end AI applications on AWS, from prototype to production‑ready services.
- Architect and implement scalable data and AI infrastructure using Amazon SageMaker, AWS Glue, AWS Lambda and Amazon Bedrock.
- Build and maintain generative AI agents and Retrieval‑Augmented Generation (RAG) pipelines with vector‑store integration.
- Apply MLOps and LLMOps best practices for model training, deployment, monitoring and continuous improvement.
- Collaborate with cross‑functional teams to translate business requirements into robust, automated data and AI solutions.
Requirements
- Strong experience with AWS AI/ML services (SageMaker, Bedrock, Lambda, Glue) and infrastructure‑as‑code.
- Proficiency in building and deploying machine‑learning and large‑language‑model pipelines (MLOps/LLMOps).
- Hands‑on knowledge of generative AI, vector databases and Retrieval‑Augmented Generation architectures.
- Solid programming skills in Python and familiarity with data engineering tools (SQL, ETL, streaming).
- Ability to design scalable, production‑grade systems and troubleshoot performance issues in cloud environments.
Skills
awsmlopsgenerative ai