Design, develop, test, deploy, and support end-to-end applications across frontend, backend, APIs, databases, and cloud environments.
Leverage Generative AI and Agentic AI technologies to accelerate requirements analysis, solution design, development, testing, deployment, and ongoing operations.
Build and integrate AI-powered solutions, including Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) architectures, intelligent agents, and workflow automation....
Design, develop, test, deploy, and support end-to-end applications across frontend, backend, APIs, databases, and cloud environments.
Leverage Generative AI and Agentic AI technologies to accelerate requirements analysis, solution design, development, testing, deployment, and ongoing operations.
Build and integrate AI-powered solutions, including Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) architectures, intelligent agents, and workflow automation....
Architect and deliver agentic AI solutions end-to-end — agents, orchestration, tool layers, knowledge pipelines, and full stack applications — at production engineering standards, contributing directly to code and design when required.
Design agent harnesses, orchestration topologies (supervisor/worker, event-driven, parallel), A2A coordination patterns, and LLM gateway configuration across LLM providers.
Build and maintain MCP servers, translate business processes into agent skills and reusable workflows, and implement advanced knowledge layer components: RAG, Text-to-SQL, Elasticsearch, knowledge graphs....