> Markdown version of [/jobs/ext/3600667-generative-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3600667-generative-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Generative AI Engineer - **Company:** Mastech Digital, Inc. - **Location:** Pittsburgh, PA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Microsoft Azure, Computer Programming, Continuous Integration, Data Architecture, Data Cleansing, Fraud Prevention and Detection, Python (Programming Language), Linear Regression, Machine Learning, MongoDB, Tensorflow, Pytorch, Retrieval-Augmented Generation, Large Language Models, Random Forest, Model Validation, Generative AI, Agentic-AI, AutoGen, Graphql, Machine Learning Operations, Model Context Protocol, Network Server, GPT, Jenkins - **Published:** October 7, 2026 - **Apply:** https://www.disabledperson.com/jobs/75823469-generative-ai-engineer ## About the Role * AutoGen * Communication * Generative AI * GraphQL * Jenkins * LangGraph * Machine Learning * Model Context Protocol Client * Model Context Protocol Servers * Model Prototyping * Azure * Large Language Model (LLM) * MongoDB * Python, * Strong experience in building and deploying predictive models based on Random Forest, Linear Regression etc. for problems such as fraud detection, anomaly detection, churn prediction etc. at enterprise scale * Develop robust and scalable pipelines for data preprocessing, model training, and deployment. * Strong programming skills in Python and in similar languages. * Familiarity with machine learning frameworks like PyTorch. * Hands on experience with generative AI models such as GPT. * Understanding of MLOps practices for building scalable AI pipelines. * Solid understanding of natural language processing (NLP) and AI ethics. * Translate complex requirements into scalable and efficient architecture * Design and implement scalable ML pipelines with CI/CD automation, efficient model training, validation, and deployment across enterprise environments * Excellent Communication and Leadership qualities to work independently with minimal supervision. Requirements: * A minimum of 6 + years experience as a Data Engineer or similar role with 1-2 years specifically focused on GenAI or AI/ML projects * Strong knowledge data architecture in banking domain. * 4+ Years Work Experience in Python, Mongo * Strong hands-on experience with Microsoft Azure * Integrate LLMs with enterprise datasets using Azure Open AI. * Understanding of agentic frameworks (such as AutoGen or LangGraph, MCP) * ML: Familiar with CI/CD Pipeline, Jenkin, Model Training, Model Deployment * GenAI: Knowledge in LLM Models, Langchain , Hugingface * Excellent organizational and analytical abilities. * Outstanding problem solver. * Good written and verbal communication skills ## Description * Our client is looking to hire a highly skilled and innovative ML/AI Architect with deep traditional AI/ML expertise, including model development, data science, MLOps, and model validation, along with exposure to GenAI and agentic AI patterns such as RAG, orchestration, tool integration, and governed workflow automation., * Maintain existing predictive models while architecting for the future. This role will require architecting application that works as an integration of predictive model and generative AI.