Senior ML Engineer - Production RAG & LLM Systems

Kelly Services; Dallas (TX); On-site; USD 115,000 - 145,000; Full time

Job summary

Kelly Services is seeking a Senior AI/ML Engineer to join a growing AI organization focused on predictive analytics, intelligent automation, and generative AI. You will design, build, and deploy scalable AI systems that drive real-world business outcomes.

You will work across the full AI lifecycle, developing production-grade ML applications, LLM integrations, and RAG solutions while establishing best practices for modern AI engineering.

Qualifications

• 7+ years of experience designing, developing, and deploying machine learning solutions in production environments.
• Proficient in Python development, building reusable packages and automation tools.
• Experience with Databricks for large-scale data processing and ML workflows.
• Deep understanding of ML systems design, MLOps, and scalable inference.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Hands-on experience with containerization technologies and CI/CD pipelines.
• Master's degree in Computer Science, Data Science, Software Engineering, or a related field.

Responsibilities

• Design, develop, and deploy scalable AI and ML applications.
• Build reusable Python libraries, ML frameworks, and data processing pipelines.
• Develop solutions utilizing LLMs, RAG, and agent-based architectures.
• Create evaluation, monitoring, and governance frameworks for AI systems.
• Optimize databases, data pipelines, and model performance for large-scale workloads.
• Research and implement emerging AI technologies to drive innovation.

Skills

Python development

Databricks

MLOps

Cloud platforms

CI/CD

Containerization

ML systems design

7+ years experience

Education

Master's degree

Job description

Kelly Services is seeking a Senior AI/ML Engineer to join a growing AI organization focused on predictive analytics, intelligent automation, and generative AI. You will design, build, and deploy scalable AI systems that drive real-world business outcomes.

You will work across the full AI lifecycle, developing production-grade ML applications, LLM integrations, and RAG solutions while establishing best practices for modern AI engineering.