AI Expert- Software

AI Expert- Software Eccalon

LLC - 3.3

Detroit, MI Job Details Full-time 2 hours ago Qualifications AI models Software engineering Continuous deployment System design AI platforms (beyond public GPTs) Computational framework System design for system development Machine intelligence Bachelor's degree Model deployment Version control systems DevOps automation Machine learning libraries Machine learning frameworks Full Job Description 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.