Design and deliver full stack AI-powered applications from frontend to backend with a focus on scalability and reliability
Build and integrate LLM-powered features using AWS Bedrock, LangChain, and LangGraph
Develop and maintain RESTful and event-driven APIs that power AI workflows
Deploy and manage services on Kubernetes in collaboration with the platform team
Contribute to shared libraries, reusable components, and internal AI enablement tools
Support and mentor AI Developers (SD II) through code reviews and technical guidance
Participate in architecture discussions and help shape engineering standards within the team

Python — strong proficiency; primary language for backend and AI workflow development
Full Stack Development — solid experience with a modern frontend framework (React or Next.js) and backend engineering
AWS — hands-on experience with core services (Lambda, S3, ECS/EKS, API Gateway, IAM)
LangChain / LangGraph — practical experience building LLM-driven applications or agentic workflows
AWS Bedrock — working knowledge of foundation models and prompt-based integrations
Kubernetes — comfortable deploying and debugging containerized workloads
REST API Design — ability to design, build, and document production-grade APIs

Software Developer II

Key skills