Project information

• Energy company, young and dynamic team

Responsibilities

• 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

Profile

• 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

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