Senior AI/ML Engineer

Job Title: Senior AI/ML Engineer
Location: Burbank, CA (100% On-site)
Contract:6 Months

Job Description:

We are seeking a highly skilled Senior AI/ML Engineer to design, develop, and deploy advanced AI solutions leveraging LLMs, RAG architectures, and agentic AI systems.
The ideal candidate will have deep Python expertise, strong NLP knowledge, and hands-on experience integrating AI models into scalable, production-grade cloud environments

Essential Skills:

Azure Machine Learning (ML) - 7+ years
DevOps - 7+ years
Microsoft Azure - 7+ years
Mongo DB - 7+ years
Python - 7+ years

Qualifications:

Expert-level proficiency in Python
Strong experience with LLM integration and RAG architectures
Hands-on experience with Prompt/Context Engineering
Solid understanding of NLP concepts and transformer-based models
Experience with Vector DBs and/or MongoDB
Knowledge of CI/CD pipelines and cloud deployment (Azure preferred)

Must Have:
7+ years of Python experience with expert-level proficiency
7+ years of Microsoft Azure experience, including cloud deployment and Azure Machine Learning
7+ years of MongoDB experience
Hands-on experience with LLM integration and RAG (Retrieval-Augmented Generation) architectures
7+ years of DevOps experience, including CI/CD pipelines
Familiarity with Agentic AI workflows and tool/function calling
Experience with observability, monitoring, and evaluation frameworks for AI systems

Roles & 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 Retrieval-Augmented Generation (RAG) 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
Ensure CI/CD integration and cloud deployment (Azure preferred)
Establish observability, monitoring, and evaluation frameworks for AI systems
Collaborate with cross-functional teams to deliver production-ready AI features