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.

As an AI/ML Software Engineer, you will design and implement secure, scalable software systems that integrate AI, analytics, and simulation capabilities to solve complex real-world problems. You will work hands-on to build APIs, data pipelines, and distributed systems that support mission-critical operations in secure environments. Collaborating with cross-functional engineering, system, and analytics teams, you will ensure robust, maintainable, and high-performance software. The role offers the opportunity to deploy cloud-native, containerized solutions while integrating AI/ML outputs into operational systems. You will contribute to testing, monitoring, and sustaining software with a focus on reliability, security, and scalability. This position is ideal for engineers who enjoy solving challenging technical problems end-to-end while maintaining high standards of software quality.

Accountabilities

Design, develop, and maintain software for AI, analytics, and simulation applications.

Implement APIs, data pipelines, and distributed system components to enable mission-critical operations.

Build containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines.

Integrate AI/ML models and analytics outputs into operational systems.

Ensure secure, maintainable, and testable code following software engineering best practices.

Collaborate with system engineers, architects, and cross-functional teams to ensure interoperability.

Automate deployment, monitoring, and testing to maintain performance and reliability.

Requirements

U.S. citizenship and willingness to obtain/maintain a security clearance.

46 years of professional software engineering experience.

Strong background in full-stack or systems engineering.

Proficiency in Java, Python, C++, or TypeScript/Angular.

Experience building containerized, cloud-native solutions with Docker, Kubernetes, and CI/CD pipelines.

Understanding of distributed systems and message buses (Kafka, Redis, etc.).

Experience Integrating AI/ML Models Into Production Systems (preferred).

Familiarity with databases such as PostgreSQL, MongoDB, or graph databases (preferred).

Knowledge of Infrastructure-as-Code tools like Terraform, CloudFormation, or CDK (preferred).

Exposure to DevSecOps, Zero-Trust, or secure deployment practices in regulated environments (preferred).

Bachelors degree in Computer Science, Software Engineering, or a related technical field.

Active Secret or TS/SCI clearance is a plus.

Benefits

Competitive base salary with equity opportunities.

Health, dental, and vision benefits from Day 1.

Remote-friendly work options.

Flexible time off and professional growth opportunities.

Inclusive, mission-driven culture where your work impacts critical operations.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
It compares your profile to the jobs core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias focusing solely on your fit for the role.

Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!