Agentic AI Engineer II

EchoStar

San Mateo, USonsite$116k-$157k/yrPosted Jul 24, 2026
Posting intelligenceActively listedReposted 5×, possible evergreen/ghost posting

Skills

dockergitlabpythoncicdawsllm

About the role

Company Summary:

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Department Summary:

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.

Job Duties and Responsibilities:

Candidates must be willing to participate in at least one in-person interview.

EchoStar is seeking a motivated and inquisitive Junior Agentic AI Engineer to join the AI team. Under the guidance of senior engineers, this role focuses on learning and supporting the team to design, build, and bring to production enterprise-grade AI solutions and autonomous multi-agent systems. The position plays a supporting role in developing scalable generative AI products that drive measurable business impact by translating complex workflows into resilient architectures and leveraging advanced agentic AI techniques to revolutionize the entertainment industry.

What Success Looks Like (Objectives):

Support the design and development of autonomous AI services and multi-agent workflows alongside senior team members

Assist in the implementation of open communication protocol integrations (MCP and A2A) for agent coordination and task delegation

Participate in the architecture of hybrid control flows, state machines, and graphs under supervision to manage multi-step reasoning

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

Skills, Experience and Requirements:

Core Skills and Competencies (What you’ll bring):

Strong coding foundations in Python and exposure to backend frameworks such as FastAPI

Understanding of or exposure to cloud-based foundation model platforms, like AWS Bedrock

Familiarity with containerization, CI/CD pipelines, and cloud infrastructure including Docker, EKS, and GitLab CI/CD

Active AI literacy and eagerness to master modern orchestration frameworks and standard agentic communication protocols

Collaborative problem solving and ability to translate business requirements into technical agent specifications

1-2 years of software development or data science experience with foundational knowledge in LLM-powered systems

Additional Qualifications:

Experience with agent interoperability and communication standards, including MCP and A2A protocol

Familiarity 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

Familiarity 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: 1-2 years of experience in software development or data science

Required Technical Skills: Must have at least 1 year of experience with:

Python

LLM-powered systems or backend frameworks

Visa sponsorship not available for this role

#LI-CH2

Benefits:

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.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.

Salary Range: USD $116127.00 - $157119.00 / Year

Compensation

This Machine Learning Engineer role pays $116k-$157k/yr. Within typical range for machine learning engineer roles in United States.

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