AI/ML Engineer

Koniag Government ServicesHuntsville, AL
Onsite

About The Position

Koniag Management Solutions, LLC a Koniag Government Services company, is seeking an AI/ML Engineer with a Secret security clearance to support KMS and our government customer in Huntsville, AL. This is an onsite position. Koniag Government Services is seeking an AI/ML Software Engineer to join a small, high-impact AI and Automation team supporting U.S. Army mission operations. In this role, you will design, develop, and deploy AI-powered applications and automation solutions that streamline complex government workflows and improve decision-making for military end users. You will work across the full development lifecycle, from prototyping AI/ML features to building production-grade web applications and maintaining the CI/CD pipelines that deliver them. This is a hands-on engineering position suited for early-career professionals who are eager to grow technically in a fast-moving environment. You will work within a dedicated AI and Automation team and collaborate closely with cross-functional teams spanning Software Development, Data Analytics, and Infrastructure, contributing meaningfully to architecture decisions, development work, and deployment operations from day one. The ideal candidate brings a strong foundation in AI/ML concepts, modern software development practices, and the adaptability to work across frontend, backend, and infrastructure as needed.

Requirements

  • Bachelor's degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Software Engineering, or a closely related technical field.
  • 0 to 3 years of professional experience in software development, AI/ML engineering, or a related technical role (internship and academic project experience considered)
  • Proficiency in Python and at least one modern web development language or framework (e.g., JavaScript/TypeScript, React)
  • Foundational understanding of AI/ML concepts, including natural language processing (NLP), large language models (LLMs), embeddings, and vector search
  • Experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and RESTful API design
  • Familiarity with version control systems (Git) and collaborative development workflows (branching strategies, merge requests, code reviews)
  • Basic understanding of containerization (Docker) and container orchestration concepts (Kubernetes)
  • Familiarity with CI/CD pipeline concepts and at least one CI/CD platform (e.g., GitLab CI/CD, GitHub Actions, Azure DevOps, Jenkins)
  • Exposure to at least one cloud platform (AWS, Microsoft Azure, or Google Cloud) and general understanding of cloud-native application architecture
  • Ability to obtain and maintain an Active or Interim U.S. Department of War SECRET security clearance prior to joining.
  • Must be a U.S. citizen.
  • Must obtain CompTIA Security+ certification prior to start date.

Nice To Haves

  • AWS Certified Machine Learning - Specialty or AWS Certified Solutions Architect - Associate
  • Google Cloud Professional Machine Learning Engineer or Google Cloud Associate Cloud Engineer
  • Microsoft Certified: Azure AI Engineer Associate or Azure Developer Associate

Responsibilities

  • Develop and integrate AI/ML capabilities into mission-focused web applications, including large language model (LLM) integration, retrieval-augmented generation (RAG) pipelines, and intelligent automation workflows
  • Assist in the design and implementation of data ingestion, embedding, vector search, and model serving pipelines
  • Support prompt engineering, model evaluation, and performance tuning for deployed AI features
  • Research and prototype emerging AI/ML tools, frameworks, and techniques to identify opportunities for mission improvement
  • Support the design and development of agentic AI systems, including autonomous agents capable of multi-step planning, tool use, and orchestrated task execution within mission workflows
  • Build and maintain web application features using modern frontend frameworks (e.g., React, TypeScript) and backend frameworks (e.g., Python, FastAPI)
  • Design and implement RESTful APIs and contribute to database design and query optimization (e.g., PostgreSQL)
  • Write clean, testable, and well-documented code following team coding standards and established design patterns
  • Participate in code reviews, sprint planning, and collaborative development within an Agile workflow
  • Contribute to the development and maintenance of CI/CD pipelines for automated testing, security scanning, and deployment
  • Support containerized application builds and deployments using Docker and container orchestration platforms (e.g., Kubernetes)
  • Assist with static application security testing (SAST) integration and remediation of findings within the development pipeline
  • Help maintain and improve infrastructure-as-code configurations and deployment automation scripts
  • Collaborate with the AI and Automation team to plan, estimate, and deliver work in iterative development cycles
  • Document technical designs, implementation decisions, and operational procedures for team and stakeholder reference
  • Support demonstrations, briefings, and technical reviews for program leadership and government stakeholders
  • Perform other duties as assigned

Benefits

  • health, dental and vision insurance
  • 401K with company matching
  • flexible spending accounts
  • paid holidays
  • three weeks paid time off
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