AI/ML Software Engineer (United States)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI/ML Software Engineer in the United States.

This role offers the opportunity to contribute to the design, development, and deployment of secure, scalable software and data systems that support mission-critical operations. You will work on complex projects integrating AI/ML models, analytics pipelines, and simulation environments, providing hands-on engineering expertise from end to end. Operating in secure, distributed environments, you will collaborate with cross-functional teams to ensure interoperability, maintainability, and reliability of software solutions. This position blends modern software development practices, cloud-native deployments, and containerized architectures with rigorous standards for security and performance. Ideal candidates are passionate about coding, solving challenging technical problems, and optimizing systems for real-time mission impact in high-stakes environments.

Accountabilities

• Design and implement APIs, data pipelines, and simulation logic to support AI/ML and mission applications.
• Develop clean, testable, and maintainable code using Java, Python, C++, or TypeScript/Angular.
• Build and integrate modular microservices for scalability, maintainability, and interoperability.
• Deploy containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.
• Develop distributed systems and data integration frameworks using message buses like Kafka or Redis.
• Manage and model complex data relationships in databases such as PostgreSQL, MongoDB, or graph DBs.
• Automate testing, monitoring, and deployment processes to ensure performance, reliability, and maintainability.
  
  

Requirements

• 4–6 years of professional software engineering experience with full-stack or systems engineering background.
• Proficiency in one or more programming languages: Java, Python, C++, or TypeScript/Angular.
• Experience with containerized, cloud-native architectures, CI/CD pipelines, and DevSecOps principles.
• Understanding of distributed systems, message buses, and data integration frameworks.
• Familiarity with secure and classified environments, including Zero-Trust, IL4–IL6, or edge/disconnected deployments.
• Knowledge of database management and data modeling in PostgreSQL, MongoDB, or graph databases.
• Strong problem-solving, communication, and collaboration skills in remote or hybrid team settings.
• U.S. citizenship and ability to obtain and maintain a security clearance.
• Preferred: experience integrating AI/ML outputs into production systems and familiarity with Infrastructure-as-Code tools (Terraform, CloudFormation, or CDK).
  
  

Benefits

• Competitive salary with potential for performance bonuses.
• Fully remote work and flexible scheduling.
• Opportunity to work with advanced AI/ML systems, distributed computing, and secure software environments.
• Professional growth through hands-on, high-impact projects in mission-critical applications.
• Collaborative and innovative work environment with talented engineering teams.
• Exposure to cutting-edge cloud, containerization, and DevSecOps practices.
  
  

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.