AI Engineer (Azure AI / Generative AI)

AI Engineer (Azure AI / Generative AI) Location: United States (Remote)Employment Type: 1099 Independent ContractorExperience: 5+ Years About the OpportunityBitcot is seeking a highly skilled AI Engineer with strong expertise in Microsoft Azure AI technologies to join a strategic digital transformation initiative supporting a leading, well-established healthcare enterprise in the United States.As an AI Engineer, you will design, develop, deploy, and optimize enterprise-grade AI and Generative AI solutions using Microsoft's AI ecosystem. You will collaborate with data scientists, software engineers, cloud architects, and business stakeholders to build secure, scalable, and production-ready AI applications that solve complex business challenges.This is an exciting opportunity to work on cutting-edge AI technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Azure OpenAI, Azure AI Services, and Azure Machine Learning within an enterprise environment.Key Responsibilities • Design, develop, and deploy AI and Generative AI applications on Microsoft Azure. • Build intelligent applications using Azure OpenAI Service, Azure AI Services, and Azure Machine Learning. • Develop Retrieval-Augmented Generation (RAG) solutions using Azure AI Search and vector databases. • Integrate Large Language Models (LLMs) into enterprise applications. • Develop prompt engineering strategies and optimize model performance. • Build scalable REST APIs and AI microservices for production deployment. • Fine-tune, evaluate, and monitor AI models to improve accuracy and reliability. • Collaborate with DevOps teams to implement MLOps pipelines for model deployment and lifecycle management. • Work closely with product owners and business stakeholders to translate business requirements into AI solutions. • Ensure AI applications comply with enterprise security, governance, and responsible AI practices. • Optimize AI workloads for scalability, performance, and cost efficiency. • Stay current with emerging AI technologies and recommend innovative solutions.Required Qualifications • 5+ years of experience in AI Engineering, Machine Learning Engineering, Software Engineering, or Data Science. • Strong hands-on experience with Microsoft Azure cloud services. • Experience building AI applications using Azure OpenAI Service and Azure AI Services. • Strong knowledge of Azure Machine Learning. • Experience working with Large Language Models (LLMs) and Generative AI applications. • Hands-on experience building Retrieval-Augmented Generation (RAG) solutions. • Experience integrating AI capabilities into enterprise applications. • Strong programming skills in Python. • Experience developing REST APIs using FastAPI, Flask, or similar frameworks. • Experience working with Git and modern software development practices. • Understanding of prompt engineering techniques and AI model evaluation. • Familiarity with vector databases and semantic search technologies. • Strong understanding of software engineering principles and cloud-native application development. • Excellent communication, analytical, and problem-solving skills.Preferred Qualifications • Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or Microsoft Prompt Flow. • Experience with Azure AI Search and vector search implementations. • Experience with Azure Functions, Azure App Services, and Azure Kubernetes Service (AKS). • Experience deploying AI models using Docker and Kubernetes. • Knowledge of MLOps tools such as MLflow and Azure Machine Learning pipelines. • Experience with document intelligence, OCR, speech services, or computer vision. • Familiarity with Databricks, Azure Data Factory, or Synapse Analytics. • Experience developing AI Copilots or enterprise chatbots. • Exposure to Responsible AI, AI governance, and model monitoring. • Experience working within healthcare, life sciences, or other highly regulated industries is preferred. Employment Details • Employment Type: 1099 Independent Contractor • Location: United States (Remote) • Experience: 5+ Years • Work Authorization: Candidates must be authorized to work in the United States.