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