DataJobs.io
← Back to all jobs
EchoStar

AI Engineer II

EchoStar
Herndon, VA $83k - $137k/yr Full time Posted 10h ago
Backend Developer Agentic Ai Ai Agent APIs Artificial Intelligence Engineer Fastapi Generative AI Large Language Models Machine Learning Ml Ops Rag Architectures
Apply Now

Job Description

EchoStar is hiring an AI Engineer II to help build and deploy autonomous AI agents, retrieval augmented generation (RAG) pipelines, and secure AI microservices that support network performance and customer experience. This onsite role in Herndon, VA focuses on productionizing LLM and deep learning capabilities through AWS-based MLOps and well-designed APIs.

The position spans end-to-end AI engineering, including grounded RAG execution, security guardrails, and low-latency service integration into enterprise systems. You will also collaborate with engineers, data scientists, and business stakeholders to map technical deliverables to departmental OKRs and operational goals.

Responsibilities

  • 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 MLOps pipelines for continuous model training, evaluation, fine-tuning, and real-time inference
  • Partner with enterprise engineers, data scientists, and business stakeholders to align AI engineering deliverables with departmental OKRs and operational goals
  • Optimize network performance and customer experience by integrating scalable deep learning, NLP, and LLM microservices into existing backend enterprise systems

Requirements

  • 2+ years of experience in AI/ML engineering, cloud software development, or a related role
  • 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
  • Bachelor’s Degree in Computer Science, Data Science, AI/ML, or an applicable technical degree

Technologies

  • Amazon Bedrock
  • OpenSearch
  • Model Context Protocol (MCP)
  • Amazon SageMaker
  • Python, FastAPI, Pandas, NumPy
  • Docker, CI/CD, MLOps
  • RESTful APIs
  • Amazon NLX
  • LangGraph, AutoGen
  • LLM, NLP

Benefits

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

Compensation: USD 83,160 - 136,625 per year (base pay range shown as a guideline). Individual total compensation may vary based on qualifications, skill level, and competencies, and compensation is based on the role’s location and subject to change with work location.

Pre-employment screening: Candidates must successfully complete a pre-employment screen, which may include a drug test and DMV check.

Posting period: The posting will be active for a minimum of 3 days and will extend by 3 days until the position is filled.

Similar Jobs