Artificial Intelligence (AI) - Assisted Software Engineer (Mid)

Title: Artificial Intelligence (AI) - Assisted Software Engineer (Mid)

Location: Huntsville, AL, USA

Koniag Government Services is seeking a skilled, forward-thinking Artificial Intelligence (AI)-Assisted Software Engineer (Mid) specializing in cloud-based development, AI-assisted software engineering, and legacy application modernization experience with an active SECRET clearance to support KMS and our government customer in Huntsville, AL. This is an onsite position.

Benefits include medical, dental, and vision insurance, 401(k) retirement plan, paid time off, paid parental leave, life and disability insurance, flexible spending accounts, commuter benefits and tuition reimbursement.

The ideal candidate combines strong software engineering fundamentals with hands-on experience refactoring production applications and practical proficiency using modern AI coding assistants and agentic development tools to help modernize existing production applications, transforming legacy systems into modern, secure, scalable, and maintainable cloud-based web applications.

Rather than simply generating new code, this engineer must be capable of understanding complex legacy codebases, preserving existing business functionality, identifying technical debt, designing improved architectures, and implementing changes through controlled, test-driven modernization workflows.

We are particularly interested in developers who have successfully integrated AI coding tools into their daily engineering workflows to accelerate codebase analysis, application refactoring, automated testing, documentation, and software delivery while maintaining strong engineering judgment and accountability for the resulting code.

Essential Functions, Core Duties & Professional Responsibilities

Primary Modernization Objectives

Analyze existing enterprise applications to understand their architecture, dependencies, data flows, integrations, and business rules.

Design and implement modern, cloud-ready, full-stack web application architectures.

Refactor and migrate legacy functionality into modular, maintainable components and services without disrupting operational capabilities.

Leverage approved AI-assisted and agentic coding tools to improve development productivity, consistency, and modernization velocity.

Establish automated testing, CI/CD practices, technical documentation, and repeatable cloud deployment processes.

Collaborate with technical leads, cybersecurity personnel, stakeholders, and other engineering teams to ensure modernized applications meet mission, performance, and security requirements.

Agentic AI & AI-Assisted Software Engineering

Demonstrate practical experience using modern AI coding assistants and agentic development tools to accelerate real-world software engineering tasks.

Utilize approved coding tools such as Claude Code, GitHub Copilot, Gemini CLI, OpenAI Codex, or comparable platforms to support code comprehension, refactoring, debugging, testing, and documentation.

Apply agentic development workflows in which AI coding agents perform coordinated, multistep engineering activities under developer supervision.

Create effective development instructions, repository context, task specifications, and architectural constraints to guide AI-generated changes.

Use AI tools to analyze unfamiliar codebases, trace dependencies, generate test cases, propose refactoring approaches, and implement controlled code modifications.

Evaluate AI-generated code for correctness, security, maintainability, performance, and compliance with project standards.

Integrate AI-assisted development into standard Git branching, code review, testing, and CI/CD workflows.

Apply appropriate human oversight, approval checkpoints, and validation before incorporating AI-generated changes into production-bound code.

Follow organizational policies governing approved AI platforms, sensitive source code, credentials, controlled information, and external model access.

Share effective AI-assisted engineering practices with teammates to improve development consistency and productivity.

Cloud-Native Development & DevSecOps

Develop and deploy applications in cloud-hosted environments such as Google Cloud Platform, Microsoft Azure, or AWS.

Build and maintain containerized development and deployment environments using Docker or comparable technologies.

Implement and maintain automated build, test, security scanning, and deployment pipelines.

Apply infrastructure configuration, secrets management, environment separation, and secure deployment best practices.

Support development, test, and production environments with repeatable deployment and release processes.

Incorporate monitoring, structured logging, troubleshooting, performance optimization, and operational observability into application design.

Collaborate with cybersecurity and infrastructure teams to support applicable DoD security, compliance, and authorization requirements.

Modern Full-Stack Application Development

Design, develop, and maintain modern, responsive, browser-based application interfaces.

Build and integrate secure backend services, business logic, and RESTful APIs.

Apply modern application architecture principles, including separation of concerns, modular design, reusable components, and maintainable service interfaces.

Work with relational databases to maintain application data, optimize SQL queries, and support schema modernization and controlled database migrations.

Implement authentication, authorization, input validation, logging, exception handling, and other foundational application security controls.

Integrate new application components with existing enterprise systems and legacy data sources as required.

Agile Delivery & Engineering Collaboration

Work collaboratively with developers, technical leads, project managers, cybersecurity personnel, and mission stakeholders.

Participate in Agile planning, backlog refinement, technical design reviews, demonstrations, and sprint execution.

Independently investigate technical challenges, propose practical solutions, and communicate engineering tradeoffs.

Use Git-based version control and peer review workflows to manage software changes.

Maintain current technical documentation, architectural diagrams, API specifications, and application deployment instructions.

Demonstrate initiative in identifying opportunities to improve application quality, engineering efficiency, and technical delivery.

Legacy Application Analysis & Production Modernization

Analyze and reverse-engineer existing application codebases to document architecture, business logic, dependencies, data models, and integration points.

Identify modernization opportunities, architectural deficiencies, technical debt, security risks, and maintainability challenges.

Refactor existing code into modern, modular, maintainable architectures, selecting appropriate approaches such as incremental modernization, service extraction, or targeted component replacement.

Preserve existing business behavior and data integrity throughout migration and modernization.

Develop characterization, unit, integration, and regression tests to establish confidence in functionality before and after refactoring.

Support incremental application transition strategies that minimize operational risk, system downtime, and disruption to end users.

Diagnose and resolve production defects and performance issues throughout the modernization lifecycle.

Work Experience, Skills & Abilities

BS in Computer Science or Engineering

24 to 84 months minimum of hands-on/relevant experience

CompTIA Security+ before joining

Must have active secret clearance to be considered.

 

Our Equal Employment Opportunity Policy

The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, sex, sexual orientation, gender, or gender identity (except where gender is a bona fide occupational qualification), national origin, age, disability, military/veteran status, marital status, genetic information, or any other factor protected by law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits and all other privileges, terms, and conditions of employment.

 

The company is dedicated to seeking all qualified applicants. If you require accommodation to navigate or to apply for a position on our website, please contact Heaven Wood via e-mail at or by calling to request accommodation.

 

Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.

 

Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352.