Teams at EchoStar

Support the design, development, and productionization of autonomous AI services and multi-agent workflows. Assist with integrating agent communication protocols (MCP, A2A), hybrid control flows, sandboxed tool execution, and scalable microservice architectures. Collaborate with cross-functional teams under senior guidance to translate business requirements into technical agent specifications and deploy resilient LLM-powered systems.

Design, build, and deploy enterprise-grade autonomous AI services and multi-agent systems. Implement MCP and A2A integrations, architect hybrid control flows and state machines, integrate sandboxed tool execution with strict egress controls, and apply SRE principles for observability, fallback mechanisms, and reliability to move generative AI from POC to production.

Lead development and architecture of Roku streaming client platform using BrightScript and SceneGraph. Own player state machines, DRM and ad integrations, performance profiling, memory tuning, and automated testing/benchmarking. Establish linting, static analysis, device-farm benchmarks, and AI-assisted workflows while coordinating cross-functional teams to deliver high-performance, certified Roku applications.