Python Developer

Duties

1 -Engagement Methodology

• 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:

• Python, Amazon Bedrock Agentcore
• Strands, LangChain / LangGraph, Prompt

Engineering

• Serverless: Lambda, Step Functions
• RAG, multi-agent orchestration

Certifications:

AWS Certified AI Practitioner, AWS Solutions Architect – Associate

Domain Knowledge (Preferred)

Oil & Gas / Energy sector experience preferred; enterprise AI platform understanding required