AI/ML Engineer
Carter Support Services
Senior AI/ML Engineer
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
Vacancy posted 3 days ago
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