AI Expert- Software

Job Description

Job Description

AI Expert – Software

Location: Detroit, MI- Onsite

Type: Full-time

Security Clearance: No clearance required, must be clearable.

Job Description

The AI Expert – Software Engineering is responsible for designing, developing, and integrating artificial intelligence capabilities into production-grade software systems. This role blends deep AI/ML expertise with strong software engineering practices to build scalable, secure, and maintainable AI-enabled applications across enterprise and mission-critical environments.

Responsibilities

• Design and develop AI-enabled software applications and platforms
• Integrate machine learning models, LLMs, and AI services into backend and full-stack systems
• Develop, test, and deploy AI solutions using modern software engineering best practices
• Build and maintain data pipelines, APIs, and AI-driven services
• Collaborate with software engineers, data scientists, DevOps, and product teams
• Ensure AI solutions are scalable, secure, explainable, and production-ready
• Perform model evaluation, performance tuning, and continuous improvement
• Support cloud-based deployment and monitoring of AI systems
• Document system architecture, models, and development processes

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• 5+ years of professional software development experience.
• Strong programming skills in Python and at least one additional language (Java, C++, or JavaScript).
• Hands-on experience integrating AI/ML models into software applications.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience building APIs, microservices, or backend systems.
• Strong understanding of software architecture, version control, and CI/CD practices.

Preferred Qualifications

• Master’s degree or PhD in AI, Machine Learning, or a related discipline.
• Experience working with large language models (LLMs) and generative AI tools.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and AI deployment pipelines.
• Experience with MLOps, model monitoring, and lifecycle management.
• Background supporting government, defense, or regulated environments.
• Ability to obtain and maintain a security clearance if required by contract.