Native AI Engineer with Codex and Claude (Only Immediate)

Role Summary

Codex and Claude………………. are Mandate

We are seeking experienced Full Stack Engineers with strong AI Native engineering capabilities to build scalable, cloud-based applications. The ideal candidate will have hands-on expertise in Java/Python, AWS, and AI-driven development practices, working in fast-paced, pod-based delivery models.

Key Responsibilities

Design, develop, and deploy full stack applications using Java/Python

Build and integrate AI-native solutions leveraging LLMs, agentic workflows, and AI-assisted coding tools

Develop scalable backend services and APIs on AWS cloud

Collaborate within AI-native pods to deliver high-quality, sprint-based outcomes

Ensure code quality, performance, and best engineering practices

Contribute to cloud-native architecture and microservices design

Required Skills

Strong hands-on experience in Java and/or Python

Experience building full stack applications (frontend + backend)

Deep understanding of AWS services (Lambda, API Gateway, EC2, S3, etc.)

Exposure to AI Native engineering:

GitHub Copilot / AI-assisted development

LLM-based solutions / AI integrations

Automation-driven development workflows

Experience with REST APIs, microservices, and cloud-native architecture

Strong problem-solving and Agile delivery experience

Preferred Skills

Experience with agentic frameworks / LangChain / similar AI orchestration tools [AI Roles - Lily Word] Knowledge of CI/CD, containers (Docker/Kubernetes) [AI Roles - Lily Word] Exposure to vector databases or AI data pipelines [AI Roles - Lily Word]

Nice to Have

Prior experience working in AI-native pods or accelerator-driven teams [AI_Native_…Whitepaper Word]

AWS certifications