AI Engineer

AI Engineer VA 1 Remote - Herndon, VA 20170 Apply Overview Salary Range $130,000.00 - $150,000.00 Position Type Full Time Education Level 4 Year Degree Category Professional Services Apply Description 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. We are seeking a AI Engineer to join our growing team. This role is perfect for someone who enjoys building scalable systems, experimenting with AI solutions, and collaborating across disciplines to bring new ideas to life. Key Responsibilities 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. Qualifications Required Skills & Experience 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).