Teams at AT&T

Develop, test, and maintain full-stack software (Python/FastAPI) for order, delivery, and assurance systems. Build APIs, implement persistence with SQL/NoSQL, apply CI/CD and cloud-native practices, participate in code reviews, agile ceremonies, and collaborate with product and operations teams to deliver features and fixes.

Design, build, and deploy production-grade AI/LLM systems and agentic workflows. Implement prompt and context engineering, RAG, vector search, and LangGraph-based agents. Develop backend APIs, data pipelines, and monitoring for performance, scalability, and cost optimization while collaborating with product, data science, and engineering teams.

Lead architecture, build, and deploy context-rich LLM and agent-based AI solutions. Design prompts, manage context/RAG and vector search, implement production Python services, integrate models and agents, ensure data pipeline quality, monitor and optimize agent performance, and guide cross-functional teams on scalable, secure AI deployments.