Senior AI/ML Engineer

Robotics Technologies LLC; Los Angeles (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Robotics Technologies LLC in Los Angeles, CA is seeking a Senior Architect to lead the design of scalable AI/ML systems using Agentic Layer A2A frameworks and MCP Protocols for enterprise GenAI applications.

You will drive end-to-end solution engineering, cloud deployment on Azure, data pipelines with Cosmos DB, Redis, Blob Storage, and Iceberg; build Azure Functions and Container Apps; mentor teams and stay ahead of GenAI trends while ensuring HIPAA/GDPR compliance.

Qualifications

• Architect scalable AI/ML systems with Agentic Layer A2A frameworks and MCP Protocols.
• Strong experience in vector embeddings, prompt engineering, and context engineering for GenAI applications.
• Deep knowledge of Generative AI, NLP models, and large language models (LLMs).
• Proficiency in Python; exposure to Java/Go is a plus.

Responsibilities

• Lead the design of scalable, secure, and high-performance AI/ML systems.
• Drive end-to-end solution development including embeddings, prompt, and context engineering.

Skills

Agentic Layer MCP Protocol

AI/ML Engineering

GenAI & LLM Concepts

Programming: Python

Azure Cloud proficiency

Databases: Cosmos DB & Azure AI Search

Cloud-Native Architecture

Healthcare Domain & HIPAA/GDPR

Job description

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

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.