GenAI Engineer - Multi-Agent AI & Azure Cloud

Veridic Solutions; Mason (OH); On-site; USD 140,000 - 230,000; Full time

Job summary

Veridic Solutions in the United States is seeking a senior AI/ML engineer to design and implement scalable multi-agent AI systems, focusing on agentic layers and MCP protocols.

You will fine-tune LLMs, manage embeddings and context engineering, and build cloud-native architectures on Azure to deploy production-grade AI workloads with an emphasis on healthcare data compliance and secure, scalable solutions.

Qualifications

• Experience designing and implementing multi-agent AI systems.
• Proficiency in LLM fine-tuning, embeddings, and context engineering.
• Production-grade Python development for AI workloads.
• Experience deploying AI workloads on Azure.
• Knowledge of scalable, cloud-native architectures.
• Experience with regulated data environments and healthcare compliance.

Skills

Agentic Layer & Protocols

AI/ML Engineering

GenAI & LLM Concepts

Python Programming

Azure Cloud

Cosmos DB

Redis

Azure AI Search

Cloud-Native Architecture

Healthcare Compliance

Job description

Veridic Solutions in the United States is seeking a senior AI/ML engineer to design and implement scalable multi-agent AI systems, focusing on agentic layers and MCP protocols.

You will fine-tune LLMs, manage embeddings and context engineering, and build cloud-native architectures on Azure to deploy production-grade AI workloads with an emphasis on healthcare data compliance and secure, scalable solutions.