AI/ML Engineer

Location: Burbank, CA (100% Onsite)

Job Type: Full-Time

Experience Level: Mid-Senior (10+ Years)

Industry: Information Technology & Services

Position Overview

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.

Key Responsibilities

• 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

Required Qualifications

• 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