Paycom is seeking an AI Engineer to build practical, innovative AI features that enhance their products and improve client experience.
Requirements
- Hands-on software engineering experience working with AI/ML systems or data-driven applications.
- Experience developing software utilizing various languages, including Python, SQL and/or the ability to pick up new languages quickly.
- Strong knowledge and experience using data platforms, machine learning frameworks and generative AI tooling.
- Experience designing and deploying ML models to production and optimizing MLOps practices
- Experience with the full lifecycle of software and AI/ML development, including version control, build management, unit testing, CI/CD, API paradigms and model versioning.
- Experience in deploying and scaling containerized, distributed software and AI systems using tools such as Kubernetes.
- Depth in using LLMs, including training, fine-tuning, and evaluation. Historical background in “traditional” NLP tools
Responsibilities
- Develop, maintain, and improve AI/ML codebases, services and APIs with a focus on reliability and scalability.
- Implement and support AI/ML pipelines for deployment, monitoring and lifecycle management.
- Automate batch inference workflows and integrate AI features into both internal tools and customer-facing products.
- Write, clean, testable, and well-documented code to help the team build AI-integrated solutions with confidence.
- Define architectural changes that can be implemented incrementally, while minimizing risk.
- Define and evolve model governance, monitoring, drift detection and re-training workflows.
- Advocate for security and ethical AI practices in compliance with OWASP ML Top 10 and relevant standards.
Other
- Collaborate with cross-functional teams including engineers, data scientists, and domain experts to deliver impactful AI solutions.
- Collaborate with engineers, data scientists, and domain experts to deliver impactful AI solutions.
- Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or related field
- Strong collaboration, communication, and problem-solving skills in cross-functional environments.
- Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or related field
