AI/ML Engineer

Carter Support Services; Burbank (CA); On-site; USD 130,000 - 160,000; Full time

Job summary

Carter Support Services is looking for a Senior AI/ML Engineer in Burbank, CA. This full-time position will focus on designing, developing, and deploying advanced AI solutions.

The ideal candidate should have over 10 years of experience in software engineering, with expert-level proficiency in Python, Microsoft Azure, and DevOps practices. Responsibilities include building ML solutions, integrating LLMs, and ensuring cloud deployment.

Qualifications

• 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, particularly with Azure Machine Learning.
• 7+ years of DevOps experience including CI/CD pipelines.

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 pipelines.
• Integrate LLMs via APIs into enterprise applications.
• Ensure CI/CD integration and cloud deployment.

Skills

Python

AI/ML Integration

DevOps

MongoDB

Natural Language Processing (NLP)

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Microsoft Azure

CI/CD pipelines

Job description

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