Python Developer
- Participate in requirement gathering using Working Backwards methodology
- Document use cases, success criteria, and acceptance criteria; support workshops & hackathons
2 - Prototype Build & Delivery
- Design and build functional prototypes/demos for qualified AI use cases
- Develop on AWS Innovation Sandbox: Bedrock, Agentcore S3, Lambda, Step Functions, DynamoDB. According to reference architectures
- Focus: Agentic AI workflows, multi-agent orchestration, Knowledge Bases, Model customization
- Iterate based on customer feedback and AWS SA technical direction
3 - Demo Library & Knowledge Management
- Contribute to a curated library of reusable prototypes and demo assets
- Version-control all artefacts in designated AWS repository
- Document each prototype: architecture, setup guide, use case context, and demo script
- Ensure demos are modular and adaptable & repeatable across use cases where possible
Skills:
- Serverless: Lambda, Step Functions
Certifications:
AWS Certified AI Practitioner, AWS Solutions Architect – Associate
Domain Knowledge (Preferred)
Oil & Gas / Energy sector experience preferred; enterprise AI platform