Senior Agentic AI Engineer
Core
Design, build, and deploy enterprise-grade autonomous multi-agent systems and scalable generative AI products moving from POC to production.
Role type
Senior IC Agentic AI Engineer
Builds
Autonomous AI services, multi-agent workflows, and scalable microservices for EchoStar's connectivity and media platforms.
Domain
Telecommunications / Media / Generative AI
Deliverable
production ML models
Required skills
Python, distributed microservices architecture, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols, cloud foundation models (AWS Bedrock/Azure OpenAI/GCP Vertex AI), containerization, CI/CD pipelines, SRE principles, LangGraph/CrewAI/AutoGen, big data platforms
Preferred skills
Bedrock AgentCore, production-grade agent hosting environments
Technologies
Python, AWS Bedrock, Azure OpenAI, GCP Vertex AI, LangGraph, CrewAI, AutoGen, MCP, A2A
Responsibilities
Design and deploy autonomous AI services and multi-agent workflows; Implement open communication protocol integrations (MCP, A2A); Architect hybrid control flows and state machines for multi-step reasoning; Integrate secure tool execution environments with sandboxed contexts; Collaborate on translating business requirements to technical agent specifications; Apply SRE principles for agent observability and reliability.
Seniority
Senior, hands-on IC