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EchoStar

AI Engineer II

EchoStar
Herndon, VA $83k - $137k/yr Full time Posted 2d ago
Backend Developer Agentic Ai Ai Agent APIs Artificial Intelligence Fastapi Generative AI Large Language Models Machine Learning Ml Ops Rag Architectures
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Job Description

EchoStar is building AI capabilities that help optimize network performance and improve customer experience. In this onsite role in Herndon, VA, you will design and deliver autonomous AI agents, RAG pipelines, and secure AI microservices, working with enterprise teams to bring AI engineering initiatives to life across production systems.

This AI Engineer II position offers a base pay range of USD 83,160 to 136,625 per year. Compensation is a guideline and may vary based on qualifications, skill level, and competencies, and can change with work location.

What you will do

  • Build and deploy autonomous AI agents and securely grounded RAG pipelines using Amazon Bedrock, OpenSearch, and Model Context Protocol (MCP) to execute complex business tasks.
  • Implement Guardrails for Amazon Bedrock and cloud security protocols to support responsible AI usage, data privacy, and protection against prompt injection across enterprise applications.
  • Design and maintain low-latency RESTful APIs and AWS-based MLOps pipelines to support continuous model training, evaluation, fine-tuning, and real-time inference.
  • Collaborate with enterprise engineers, data scientists, and business stakeholders to align AI deliverables with departmental OKRs and operational goals.
  • Integrate scalable deep learning, NLP, and LLM microservices into existing backend enterprise systems to optimize network performance and customer experience.

What you bring

  • 2+ years of experience in AI/ML engineering, cloud software development, or a related role.
  • A Bachelor’s Degree in Computer Science, Data Science, AI/ML, or an applicable technical degree.
  • At least 2 years of experience with Python, Pandas, NumPy, and API development using FastAPI.
  • At least 2 years of experience with the AWS AI stack, including Amazon Bedrock (Knowledge Bases, Guardrails, Agents) and Amazon SageMaker.
  • At least 2 years of experience with Docker, containerization, CI/CD pipelines, and production MLOps workflows.
  • Familiarity with Amazon NLX and multi-agent frameworks such as LangGraph or AutoGen.

Benefits and compensation

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

Additional benefits details are available via DISH Benefits.

Pre-employment screening and location

  • Successful completion of a pre-employment screen, which may include a drug test and DMV check.
  • Onsite in Herndon, VA.

Posting period: Active for a minimum of 3 days and will continue extending by 3 days until the position is filled.

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