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# AI/ML Engineer

- **Company:** TechniPros, LLC
- **Location:** Hartford, CT, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Apache HTTP Server, Microsoft Azure, Cloud Engineering, Cloud Storage, Data Architecture, Python (Programming Language), Language Modeling, Performance Tuning, Redis, Azure Machine Learning, Search Technologies, Large Language Models, Prompt Engineering, Generative AI, Containerization, Cosmos DB, Virtual Agents, Serverless Computing, Microservices
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/5d699561-98a5-4a2d-89f5-c089f7392768

## About the Role

* The ideal candidate should possess deep expertise in Agentic AI, MCP Protocol, Azure AI Services, LLMs, cloud-native architecture, and healthcare domain solutions., * Agentic AI Frameworks (A2A)
 * MCP Protocol
 * Generative AI
 * Large Language Models (LLMs)
 * Natural Language Models (NLMs)
 * Prompt Engineering
 * Context Engineering
 * Vector Embeddings
 * Fine-tuning LLMs
 * Python
 * Azure Cloud
 * Azure AI Search
 * Redis
 * Azure Cosmos DB
 * Azure Blob Storage
 * Apache Iceberg
 * Azure Functions
 * Azure Container Apps
 * Microservices
 * Containerization
 * Serverless Computing
 * Cloud Architecture
 * Performance Optimization

Mandatory Skills:

 * Azure AI
 * Azure Cloud
 * Agentic AI
 * MCP Protocol
 * LLM
 * GenAI
 * Python
 * Azure AI Search
 * Cosmos DB
 * Redis
 * Azure Functions
 * Azure Container Apps
 * Prompt Engineering
 * Vector Embeddings
 * Microservices
 * Cloud Architecture

## Description

* We are seeking a highly experienced Senior AI/ML Engineer to architect and develop enterprise-scale Generative AI solutions on Azure Cloud., * Design AI solutions using Agentic Layer A2A frameworks and MCP Protocol.
 * Build enterprise GenAI applications leveraging vector embeddings, prompt engineering, and context engineering.
 * Deploy and optimize AI workloads on Microsoft Azure Cloud.
 * Design AI data architectures using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Apache Iceberg.
 * Develop Azure Functions and Azure Container Apps for AI microservices.
 * Optimize cloud-native architectures for scalability, resilience, and performance.
 * Ensure compliance with healthcare regulations including HIPAA and GDPR.
 * Mentor engineering teams and perform architecture/design reviews.
 * Evaluate emerging AI technologies and integrate modern GenAI capabilities into enterprise solutions.


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