AI/ML Engineer

We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more. Seeking an AI/ML Engineer 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. Essential Functions, Responsibilities & Duties may include, but are not limited to: 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 Full-Stack Application Development: 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 CI/CD and DevSecOps: 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 Collaboration and Communication: 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 Required Qualifications Education Bachelor's degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Software Engineering, or a closely related technical field. Experience 0 to 3 years of professional experience in software development, AI/ML engineering, or a related technical role (internship and academic project experience considered) Technical Skills 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 Security Clearance 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. Certification Must obtain CompTIA Security+ certification prior to start date. Certifications (any of the following are a plus) AWS Certified Machine Learning - Specialty or AWS Certified Solutions Architect - Associate Other Responsibilities Perform other duties as assigned 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, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local 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. Equal Opportunity Employer/Veterans/Disabled.Shareholder Preference in accordance with Public Law 88-352 #J-18808-Ljbffr