AI Engineer

Echelon Services, LLC

. Design, develop, and deploy scalable applications using Go, Python, and other modern languages .

Posted 9/19/2026full-timeRemote • United StatesMid-LevelSenior💰 $125,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying scalable applications using Go and Python, with a strong focus on AI-driven solutions and cloud-native development. Proficient in DevOps practices, CI/CD pipelines, and optimizing code for performance and maintainability.

Highest-signal resume keywords

Proficiency In GoProficiency In PythonExperience With AI/ML FrameworksStrong Understanding Of Cloud-Native DevelopmentHands-On Experience With DevOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GoPythonJavaC#RustAI/ML FrameworksKubernetesDockerSQLNoSQL

Soft Skills

Problem-SolvingCommunicationCollaboration

Tools & Technologies

IBM UFTPowerAutomateOpenAI

Industry Keywords

Cloud PlatformsInfrastructure As CodeMLOpsSecure Coding PrinciplesFederal Environments

Tech Stack

Tools & technologies

CloudCyber SecurityDistributed SystemsDockerJavaKubernetesMicroservicesNoSQLPythonRustSQLGo

About the role

Key responsibilities & impact

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

What you’ll need

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