Hiring: AI Engineer (Azure & Python)-- ONLY W2 Company: Mastech Digital Location: Tampa, FL Job Posted Time: 2026-09-10 18:05:51 Target Skills & Keywords : Azure, Azure DevOps, Azure Functions, CI/CD, Docker, Foundry, Git, Kubernetes, LLM, LangChain, Machine Learning, Microservices, OpenAPI, Pinecone, Python, RAG, REST, SQL, TestNG, Weaviate, containerd About the job Experience: •5+ years of software engineering/development experience with strong programming fundamentals. Required Skills: •Design, develop, and deploy Generative AI applications and services using Azure AI technologies. •Build scalable AI solutions using Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure AI Services, and related Azure capabilities. •Develop production-quality applications and APIs using Python. •Design and implement RAG (Retrieval-Augmented Generation) solutions using Azure AI Search and vector databases. •Integrate LLMs into enterprise applications through APIs, SDKs, and cloud services. •Develop and integrate AI agents, prompt workflows, tool calling, and function calling. •Implement prompt engineering, evaluation, grounding, and response-quality improvements. •Work with software engineering teams to integrate GenAI capabilities into existing applications and platforms. •Develop reusable services, microservices, APIs, and AI components following software engineering best practices. •Implement testing, monitoring, logging, security, and performance optimization for GenAI applications. •Collaborate with product managers, architects, data engineers, and business stakeholders to translate requirements into AI solutions. •Troubleshoot production issues and continuously improve AI applications. •Required Skills •5+ years of software engineering/development experience with strong programming fundamentals. •Strong hands-on Python development experience. Qualifications: •Experience with AI agents / agentic workflows. •Experience with frameworks such as LangChain, LangGraph, Semantic Kernel, or similar. •Experience with vector databases such as Azure AI Search, Pinecone, Weaviate, or FAISS. •Knowledge of Docker and Kubernetes/AKS. •Experience with Azure DevOps and CI/CD pipelines. •Experience with LLM evaluation, observability, guardrails, and responsible AI. •Familiarity with SQL, NoSQL, and data engineering concepts. •Experience integrating GenAI into existing enterprise applications. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!