Über das Unternehmen Energy company, young and dynamic team Aufgaben Development and integration of AI agents and agentic workflows (e.g. Strands Agent or comparable frameworks) Building enterprise-grade chatbots using LLM orchestration, RAG pipelines, and tool usage Implementation of AWS AI services, especially: AWS Bedrock (LLMs, guardrails, prompt pipelines) AWS Agent Frameworks / Agent Core Serverless stack (Lambda, Step Functions, DynamoDB, EventBridge) Use of S3-based vector storage for RAG pipelines and semantic retrieval Development of Streamlit applications for demos, user interfaces, and operational tooling Deployment and operation of AI workloads on AWS, including Infrastructure as Code (e.g. Terraform) Architecture and integration into a scalable enterprise data platform environment Profil Extensive experience in cloud, data, or AI engineering Deep AWS expertise, including Bedrock, agent frameworks, serverless architectures, and S3-based vector stores Proven experience building AI agent systems (e.g. Strands Agent or comparable agent frameworks) Hands-on experience developing enterprise chatbots and RAG applications Strong Python skills (e.g. LangChain or similar, Strands, boto3, FastAPI) Experience with secure enterprise integrations (IAM, security, compliance) Practical experience deploying solutions to AWS (CI/CD, IaC such as Terraform) Familiarity with Azure OpenAI, Anthropic, or similar LLM stacks Basic understanding of C#/.NET environments (Python is the primary focus) Experience working in multi-agent architectures using alternative libraries Benefits A very renowned company Ample room for creativity Continuous support during the assignment High degree of personal responsibility Remote