Senior AI/ML Engineer

Quantum Technologies. LLC; Atlanta (GA); On-site; USD 77,000 - 110,000; Part time

Job summary

Quantum Technologies. LLC is seeking a Senior AI/ML Engineer in Atlanta to lead the design of scalable AI/ML systems using Agentic Layer A2A frameworks and MCP protocols.

You will drive end-to-end solution development including vector embeddings, prompt and context engineering for enterprise GenAI applications. Responsibilities include Azure-based deployment, data architecture with Cosmos DB, Redis, and Iceberg, and building serverless components with Azure Functions and Container Apps.

Qualifications

• Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol for multi-agent orchestration.
• Strong background in vector embeddings, prompt engineering, context engineering, and LLM fine-tuning.
• Deep understanding of Generative AI, NLP models, and Large Language Models.
• Advanced Python skills; exposure to Java/Go is a plus.
• Azure Cloud services—deployment, monitoring, and scaling.
• Experience with Azure AI Search, Redis, Cosmos DB; Blob Storage/Iceberg familiarity is a bonus.

Responsibilities

• Architect and design scalable, secure AI/ML systems in Azure.
• Lead end-to-end solution development including embeddings, prompts, and context engineering.
• Oversee cloud deployment of AI/ML workloads on Azure with governance and cost control.
• Design data pipelines and storage using Azure AI Search, Redis, Cosmos DB, Blob Storage, Iceberg.
• Build and manage Azure Functions and Azure Container Apps for microservices.
• Define cloud-native patterns, tune performance, and ensure resilience across distributed systems.
• Apply healthcare domain knowledge to meet regulatory standards (HIPAA, GDPR) and handle sensitive data securely.
• Mentor engineers, establish best practices, and conduct design/code reviews.
• Stay ahead of GenAI, LLM trends and integrate cutting-edge approaches.

Skills

Agentic Layer & Protocols

AI/ML Engineering

GenAI & LLM Concepts

Programming

Azure Cloud

Databases

Job description

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

Job Title: Senior AI/ML Engineer
Location: Atlanta,GA
Duration: 9 Months + Extension
Bill Rate: $68/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.

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.