Ai Software Engineer/Ai Engineer

Ingalls Shipbuilding•Newport News, VA

2d•$104,000 - $131,000•Onsite

About The Position

HII’s Newport News Shipbuilding division is seeking an AI Software Engineer to join a multidisciplinary team of software engineers, data scientists, data engineers, and ML engineers. The role focuses on applying software engineering expertise to turn AI models and prototypes into secure, scalable, and maintainable production applications. The engineer will work with data scientists and ML engineers to support efficient, secure, and scalable operations across the machine-learning lifecycle. The position includes designing, developing, deploying, and maintaining AI-enabled applications and backend services; building REST APIs and integrating LLMs, AI models, and enterprise data systems; and supporting ML Ops through CI/CD, infrastructure automation, containerization, orchestration, reliability, security, compliance, deployment, and monitoring. The role is full-time, first shift, onsite, and not eligible for telework. U.S. citizenship is required. Relocation assistance is not available, and no clearance is required to start. The posted salary range is $104,000–$131,000; final compensation depends on experience, qualifications, and other job-related factors.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field, or an accepted equivalent described in the posting.
Relevant experience: bachelor’s degree and 5 years of relevant exempt experience; master’s degree and 3 years of relevant professional experience; or Ph.D. and 0 years of experience. The posting also allows specified education, military, work-experience, or certification equivalents for a bachelor’s degree.
Strong Python programming and REST API development skills.
Experience with software architecture, cloud development, Git, and automated testing.
Familiarity with AI/ML concepts and practical integration of LLMs or AI services.
Strong analytical, troubleshooting, and collaboration skills.
U.S. citizenship.

Nice To Haves

Experience supporting ML Ops workflows and machine-learning deployments.
Familiarity with ML Ops tools such as MLflow, Kubeflow, or Airflow.
Knowledge of security best practices for ML and cloud environments.
Experience with large-scale data processing systems such as Spark or Hadoop.
Strong scripting skills in Python and Bash.
Ability to work collaboratively in a fast-paced, cross-functional environment.
Proficiency with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps.
Hands-on experience with Docker and Kubernetes.
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Knowledge of infrastructure-as-code tools such as Terraform or Ansible.
Experience with monitoring and logging tools such as Prometheus, Grafana, or the ELK stack.
Strong understanding of Git and version control systems.
Experience developing with FastAPI, Flask, or similar API frameworks.
Knowledge of scalable, modular, and maintainable application design.
Experience with LLM integration, generative AI APIs, and RAG implementations.

Responsibilities

Design, develop, test, deploy, and maintain AI-enabled applications and backend services.
Build REST APIs and integrate LLMs, AI models, and enterprise data systems.
Develop and maintain CI/CD pipelines for ML applications.
Automate infrastructure provisioning and configuration using modern DevOps tools.
Implement containerization and orchestration for ML workloads.
Ensure system reliability, security, and compliance in ML Ops environments.
Collaborate with cross-functional teams to optimize deployment and monitoring processes.
Work with data scientists and ML engineers to support scalable, secure, and efficient operations across the ML lifecycle.
Formulate and analyze software requirements and set operational specifications.