Build production-grade AI software, microservices, libraries, and data pipelines. Partner with data and backend teams to operationalize AI models, expose capabilities through APIs, deploy workloads using cloud infrastructure and Kubernetes, and maintain testing, code quality, and CI/CD standards. The role also involves ETL/ELT, database integration, and understanding AI concepts including inference, embeddings, LLMs, and RAG architectures.

Design, develop, and maintain scalable backend services, APIs, microservices, and database systems. Contribute to architecture decisions, performance optimization, testing, code reviews, cloud deployments, CI/CD, monitoring, troubleshooting, and system reliability. Collaborate with front-end developers, product managers, designers, and DevOps teams to translate requirements into secure, high-quality technical solutions.