Senior Agentic AI Engineer

Role overview

Responsibilities

• check_circle Design, develop, and deploy autonomous AI services and multi-agent workflows from initial concept to full enterprise production
• check_circle Implement open communication protocol integrations with MCP for agent-to-tool integration and A2A for secure agent-to-agent coordination and task delegation
• check_circle 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
• check_circle Integrate secure tool execution environments, utilizing sandboxed execution contexts and strict egress controls to ensure runtime safety
• check_circle Collaborate with cross-functional teams to translate business requirements into technical agent specifications and scalable microservices
• check_circle Apply SRE principles to agent behavior, establishing robust fallback mechanisms, circuit breakers, and detailed audit trails to ensure system observability and reliability

Basic qualifications

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
• 5 years of experience in software development or data science
• Must have at least 5 years of experience with: Python, AWS Bedrock, Azure OpenAI, or GCP Vertex AI, Microservices architecture

Preferred 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

Benefits

• check_circle We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.

About the company