Senior Agentic AI Engineer

EchoStar • San Mateo, CA

3d • Onsite

About The Position

EchoStar is seeking a skilled and innovative Senior Agentic AI Engineer to join the AI team. This role involves designing, building, and bringing to production enterprise-grade AI solutions and autonomous multi-agent systems. The position plays a key role in developing scalable generative AI products that move completely past experimental proof-of-concepts (POCs) to drive measurable business impact.

Requirements

• Advanced coding skills in Python, with a deep understanding of backend frameworks and distributed microservices architecture
• Deep understanding of agent interoperability and communication standards, including Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol design
• AI engineering proficiency with cloud-based foundation model platforms, specifically AWS Bedrock or enterprise equivalents
• Technical expertise in containerization, CI/CD pipelines, and cloud infrastructure
• Proven track record of shipping LLM-powered systems into live production environments
• Minimum Education: Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
• Minimum Experience: 5 years of experience in software development or data science
• Python
• AWS Bedrock, Azure OpenAI, or GCP Vertex AI
• Microservices architecture

Nice To Haves

• Experience with multi-agent orchestration frameworks such as LangGraph, CrewAI, or AutoGen
• Familiarity with agent deployment platforms and infrastructure hosting like Bedrock AgentCore or equivalent production-grade hosting environments
• Experience with big data platforms and distributed systems for large-scale context processing

Responsibilities

• Design, develop, and deploy autonomous AI services and multi-agent workflows from initial concept to full enterprise production
• Implement open communication protocol integrations with MCP for agent-to-tool integration and A2A for secure agent-to-agent coordination and task delegation
• Architect hybrid control flows, state machines, and graphs to manage multi-step reasoning, balancing probabilistic LLM behavior with deterministic code paths for critical backend transactions
• Integrate secure tool execution environments, utilizing sandboxed execution contexts and strict egress controls to ensure runtime safety
• Collaborate with cross-functional teams to translate business requirements into technical agent specifications and scalable microservices
• Apply SRE principles to agent behavior, establishing robust fallback mechanisms, circuit breakers, and detailed audit trails to ensure system observability and reliability

Benefits

• Versatile health perks
• Flexible spending accounts
• HSA
• 401(k) Plan with company match
• ESPP
• Career opportunities
• Flexible time away plan

What This Job Offers

• Job Type: Full-time
• Career Level: Senior