This is a remote position.
Full Stack Engineers with strong AI Native engineering capabilities
Role Summary
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
