Senior Agentic AI Engineer
US-CA-San Mateo
Attract-careers1
Req #: 99826
Type: Fulltime-Regular
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Overview: Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow. Responsibilities: Candidates must be willing to participate in at least one in-person interview. 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. What Success Looks Like (Objectives): * 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 Qualifications: Core Skills and Competencies (What you'll bring): * 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 Additional Qualifications: * 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 Minimum Requirements: * Minimum Education: Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field * Minimum Experience: 4 years of experience in software development or data science * Required Technical Skills: Must have at least 4 years of experience with: * Python * Microservices architecture #LI-JZ2
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