Senior AI/ML Engineer GenAI

Quantum Technologies. LLC; Woodland (CA); On-site; USD 82,000 - 117,000; Full time

Job summary

Quantum Technologies LLC in Woodland Hills, CA is seeking a Senior AI/ML Engineer GenAI to architect scalable GenAI systems and lead end-to-end solution development on Azure.

The role emphasizes vector embeddings, prompt engineering, and context management for enterprise GenAI applications, with responsibilities spanning design, deployment, and performance optimization.

Qualifications

• Hands-on with Agentic Layer A2A frameworks and MCP Protocol for multi-agent orchestration.
• Strong background in vector embeddings, prompt engineering, and context engineering for GenAI.
• Deep understanding of Generative AI, NLP, and LLM concepts.
• Proficiency in Python; Java/Go a plus.
• Solid experience with Azure Cloud services: deployment, monitoring, scaling.

Responsibilities

• Architect scalable, secure AI/ML systems leveraging GenAI frameworks.
• Lead end-to-end solution development including embeddings, prompts, and context engineering.
• Oversee Azure Cloud deployment of AI workloads with emphasis on cost optimization.
• Design data pipelines using Azure Storage, Redis, Cosmos DB, and Iceberg.
• Develop microservices-based solutions using Azure Functions and Container Apps.
• Mentor teams and drive best practices in design and code reviews.
• Stay ahead of GenAI trends and integrate cutting-edge approaches.

Skills

Agentic Layer & Protocols

AI/ML Engineering

GenAI & LLM Concepts

Programming: Python

Cloud Proficiency: Azure

Performance & Scalability

Healthcare Domain

Tools

Azure Functions

Azure Container Apps

Redis

Cosmos DB

Blob Storage

Iceberg

Azure AI Search

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Senior AI/ML Engineer GenAI
Location: Woodland hills, CA
Duration: 8Months + Extension
Bill Rate: $72/hour(C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD

Job Summary:

Architect and Design: Lead the design of scalable, secure, and high-performance AI/ML systems leveraging Agentic Layer A2A frameworks and MCP Protocols.

Solution Engineering: Drive end-to-end solution development including vector embeddings, prompt engineering, and context engineering for enterprise-grade GenAI applications.

Cloud Deployment: Architect and oversee deployment of AI/ML workloads on Azure Cloud, ensuring compliance, scalability, and cost optimization.

Data Architecture: Design and optimize data pipelines and storage solutions using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Iceberg.

Application Development: Build and manage Azure Functions and Azure Container Apps for microservices-based AI solutions.

Performance & Scalability: Define cloud-native architecture patterns, implement performance tuning, and ensure resilience across distributed systems.

Domain Expertise: Apply deep knowledge of healthcare domain requirements, ensuring solutions meet regulatory standards (HIPAA, GDPR, etc.) and handle sensitive data securely.

Technical Leadership: Mentor engineering teams, establish best practices, and conduct design/code reviews.

Innovation & Research: Stay ahead of emerging GenAI, LLM/NLM trends, and integrate cutting-edge approaches into enterprise solutions.

Required Skills & Expertise:

Agentic Layer & Protocols: Hands-on expertise with Agentic Layer A2A frameworks and MCP Protocol for multi-agent orchestration.

AI/ML Engineering: Strong background in vector embeddings, prompt engineering, context engineering, and fine-tuning LLMs.

GenAI & LLM Concepts: Deep understanding of Generative AI, Natural Language Models (NLM), and Large Language Models (LLM).

Programming: Advanced proficiency in Python; exposure to Java/Go is a plus.

Cloud Proficiency: Strong experience with Azure Cloud services, including deployment, monitoring, and scaling.

Databases: Expertise in Azure AI Search, Redis, Cosmos DB; familiarity with Blob Storage and Iceberg is advantageous.

Cloud-Native Architecture: Solid grasp of microservices, containerization, serverless computing, scalability, and performance optimization.

Healthcare Domain: Experience working with regulated data environments and compliance frameworks.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.