AI Engineer

Echelon Services
Manassas, VA, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Java (Programming Language) Adobe InDesign Artificial Intelligence Amazon Web Services Microsoft Azure C Sharp (Programming Language) Cloud Computing Software Code Optimization Code Review Databases DevOps Distributed Systems
+19 more
Python (Programming Language) Machine Learning NoSQL Ansible Tensorflow Secure Coding Software Engineering SQL Databases Google Cloud Microsoft Power Automate Retrieval-Augmented Generation Prompt Engineering Containerization Kubernetes Information Technology Machine Learning Operations Terraform Docker Microservices

Job description

  • Design, develop, and deploy scalable applications using Go, Python, and other modern languages.
  • Build and integrate AI-driven solutions, including prompt engineering and automation workflows.
  • Rapidly prototype and iterate on new ideas to deliver minimum viable products (MVPs).
  • Collaborate with cross-functional teams to define, design, and implement technical solutions.
  • Optimize code for performance, scalability, and maintainability.
  • Participate in design reviews, code reviews, and contribute to process improvements.

Requirements

  • Must be a U.S. citizen
  • eligible to obtain and maintain a secret security clearance.
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
  • Proficiency in Go, Python, and at least one additional modern language (Java, C#, or Rust).
  • Experience with AI/ML frameworks and automation tools (e.g., IBM UFT, PowerAutomate).
  • Strong understanding of cloud-native development and containerization (Kubernetes, Docker).
  • Experience with OpenAI
  • Hands-on experience with DevOps practices and CI/CD pipelines.
  • Familiarity with distributed systems and microservices architecture.
  • Knowledge of database systems (SQL and NoSQL).
  • Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

  • Experience with cloud platforms (AWS, Azure, GCP) and infrastructure as code (Terraform, Ansible).
  • Experience with Retrieval-Augmented Generation
  • Knowledge of AI operations and MLOps practices for deploying and maintaining machine learning models.
  • Familiarity with secure coding principles and basic cybersecurity best practices.
  • Experience in federal, defense, or highly regulated environments a plus.
  • Relevant industry certifications (e.g., AWS Developer, Kubernetes CKA/CKAD, Microsoft Power Automate RPA Developer).

About the company

Echelon Services LLC is a Native Hawaiian-owned 8(a) small business delivering innovative IT, cloud, data analytics, and cybersecurity solutions to federal and commercial clients. Our team thrives on solving complex problems and creating scalable, mission-driven solutions that make a real impact.

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