AI/ML Engineer

• Design and implement AI/ML solutions using Python and modern ML frameworks
• Develop and optimize prompt engineering strategies for LLM-based systems
• Build and deploy RAG (Retrieval-Augmented Generation) pipelines
• Integrate LLMs via APIs (Azure OpenAI preferred) into enterprise applications
• Develop and orchestrate agentic AI workflows with tool/function calling
• Implement vector search solutions using vector databases or MongoDB
• Ensure CI/CD integration and cloud deployment (Azure preferred)
• Establish observability, monitoring, and evaluation frameworks for AI systems
• Collaborate cross-functionally to deliver production-ready AI features

• Bachelor's degree in Computer Science, Engineering, or related field
• 10+ years of experience in software engineering or AI/ML roles
• 7+ years of Python experience (expert-level proficiency required)
• 7+ years of Microsoft Azure experience, including Azure Machine Learning
• 7+ years of DevOps experience, including CI/CD pipelines
• 7+ years of MongoDB or similar database experience
• Strong experience with LLM integration and RAG architectures
• Experience with prompt engineering and context optimization
• Solid understanding of NLP and transformer-based models
• Experience with vector databases and search systems
• Familiarity with agentic AI workflows and tool/function calling

Preferred Qualifications

• Experience with Azure OpenAI API
• Experience building scalable, enterprise-grade AI applications
• Background in AI system monitoring, evaluation, and optimization

Work Environment

• 100% onsite role in Burbank, CA
• Collaborative, fast-paced technical environment, Application Programming Interface (API), Artificial Intelligence (AI), Cloud Computing, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Customer Support/Service, Database Technology, DevOps, Enterprise Applications, Machine Learning, Microsoft Windows Azure, Modeling Languages, MongoDB, Natural Language Processing (NLP), Python Programming/Scripting Language, Scalable System Development, Software Engineering, Systems Analysis, Team Player

Carter Support Services is seeking a highly experienced Senior AI/ML Engineer to design, develop, and deploy advanced AI solutions. This role focuses on building scalable systems leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI workflows. The ideal candidate will bring deep expertise in Python, cloud-based AI deployment (Azure), and modern NLP techniques, along with experience delivering production-grade AI systems.