Senior AI/ML Engineer GenAI & Cloud Solutions

Robotics Technologies LLC; Woodland (CA); On-site; USD 92,000 - 131,000; Full time

Job summary

Robotics Technologies LLC in Woodland Hills, CA seeks a Senior AI/ML Engineer to design scalable GenAI and cloud solutions, leading multi-agent architectures and secure data workflows.

You will deploy on Azure, optimize performance, and mentor teams while staying ahead of GenAI trends; HIPAA/GDPR familiarity is a plus for this role.

Qualifications

• Hands-on expertise with Agentic Layer A2A frameworks and MCP Protocol for multi-agent orchestration.
• Strong background in vector embeddings, prompt engineering, context engineering, and fine-tuning LLMs.
• Proficiency in Python; exposure to Java/Go is a bonus.
• Deep Azure Cloud experience including deployment, monitoring, and scaling.
• Experience with regulated healthcare data and compliance requirements (HIPAA/GDPR).

Responsibilities

• Architect and design scalable, secure AI/ML systems using GenAI techniques.
• Drive end-to-end solution engineering including embeddings and prompt/context design.
• Oversee Azure deployment of AI/ML workloads with cost controls.
• Design data pipelines using Azure AI Search, Redis, Cosmos DB, Blob Storage, Iceberg.
• Develop and maintain Azure Functions and Container Apps for microservices AI solutions.
• Mentor teams and enforce best practices; lead design/code reviews.

Skills

Agentic Layer & Protocols

AI/ML Engineering

GenAI & LLM

Python

Java/Go

Azure Cloud

Databases

Cloud-Native Architecture

Healthcare Domain

Job description

Location:

Woodland HIills, CA

Duration:

8Months+ Extension

Domain Exposure:

Banking & Finance

Client:

To Be Discussed Later

Employment Type:

W-2, 1099, C2C

Work Authorization:

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

Job Title: Senior AI/ML Engineer GenAI & Cloud Solutions

Location: Woodland hills, CA

Duration: 8 Months + Extension

Bill Rate: $81/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 Description

• 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.