Senior Agentic AI Engineer - Production-Grade Autonomy

EchoStar

San Mateo (CA)

On-site

USD 134,000 - 182,000

Full time

14 days+

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Benefits offered by this job

Health perks
401(k) plan with company match
Employee stock purchase plan
Flexible time away plan

Job summary

EchoStar is seeking a Senior Agentic AI Engineer in San Mateo to design, build and productionize enterprise-grade autonomous AI services and multi-agent workflows. You will translate business needs into scalable microservices, implement MCP and A2A protocols, and balance probabilistic LLM behavior with deterministic code paths in a secure environment.

Join a team applying SRE practices, with emphasis on observability, reliability, and audit trails while collaborating across disciplines to

Qualifications

  • Bachelor's degree in CS, data science, AI or related field.
  • 4+ years of software or data science experience.
  • Strong Python and microservices skills.

Responsibilities

  • Design, build, and deploy autonomous AI services and multi-agent workflows to production.
  • Implement MCP/A2A integrations for agent-to-tool and agent-to-agent coordination.
  • Architect hybrid control flows, state machines and graphs for multi-step reasoning.
  • Ensure runtime safety with sandboxed tool execution and strict egress controls.
  • Collaborate with cross-functional teams to translate requirements into scalable microservices.
  • Apply SRE principles with robust fallbacks and audit trails for observability.

Skills

Python
Microservices
MCP/A2A
AWS Bedrock
Containerization
LLM production

Education

Bachelor's in CS/AI

Tools

LangGraph
CrewAI
AutoGen
Bedrock AgentCore
Docker
Kubernetes

Job description

EchoStar is seeking a Senior Agentic AI Engineer in San Mateo to design, build and productionize enterprise-grade autonomous AI services and multi-agent workflows. You will translate business needs into scalable microservices, implement MCP and A2A protocols, and balance probabilistic LLM behavior with deterministic code paths in a secure environment.

Join a team applying SRE practices, with emphasis on observability, reliability, and audit trails while collaborating across disciplines to

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