AI Engineer

🕒 September 19

🏈 Ohio, Maryland, +2 more states – Remote

🏈 Ohio – Remote 🦀 Maryland – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $125k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 2%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Echelon Services, LLC

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

💼 Consulting

🎖️ Defense

📦 Logistics

Consulting • Defense • Logistics

Echelon Services, LLC is a mission-focused IT services firm that plans, manages, and implements mission-critical government technology solutions for the Department of Defense and federal civilian agencies. It specializes in cloud migration and multi-cloud integration, application modernization and CloudOps/DevSecOps; cyber and physical security (including CCTV, alarm monitoring, facility security and threat mitigation); and data and analytics capabilities using AI and machine learning. The company also provides integrated logistics support and counter-unmanned aircraft systems, and is an NHO-owned 8(a) contractor with offices in Virginia, Hawaii, and South Carolina.

📋 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

• 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) • Experience with cloud platforms and infrastructure as code is preferred • Experience with Retrieval-Augmented Generation is preferred • Knowledge of AI operations and MLOps practices is preferred • Familiarity with secure coding principles and basic cybersecurity best practices is preferred • Experience in federal, defense, or highly regulated environments is a plus • Relevant industry certifications are preferred • Excellent problem-solving, communication, and collaboration skills

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