Artificial Intelligence Engineer

Mastech is a (certified) minority-owned business certified by NMSDC. Public traded firm under MHH at NYSE, Established in 1986. Headquartered in Pittsburgh, PA, our operations are spread across 11 global recruiting & sales offices across the US.Job Title: Sr. Full Stack AI EngineerLocation: Covington, KYDuration: Full-Time1. Backend & Full Stack Engineering (25%)Strong backend engineering background (role is heavily backend-focused)Hands on experience with programming languages such as Java, Node.js, PythonFamiliarity with modern web application architecturesAPI design, development, and integration expertise2. AI & LLM Engineering (25%)Experience leveraging Large Language Models (LLMs) to solve business problemsStrong understanding of prompt engineering, prompt management, and GenAI solution designExperience working with GenAI developer tools such as: GitHub Copilot, Gemini, ClaudeFamiliarity with AI strategy, implementation, and scaling AI-driven solutions3. Data Platform Engineering (25%)Strong data engineering experienceExperience with data pipelines, data stores, orchestration frameworks, and distributed systemsUnderstanding of machine learning workflows and AI-enabled applicationsExperience deploying and scaling AI/ML solutions in production environments4. Cloud Architecture, Scale & Security (25%)Cloud-native development experienceKubernetes and containerized application deploymentExperience with deployment patterns and scalable system designUnderstanding of secure, enterprise-grade architectureThe Skills You BringThese bullet points were taken out:Deep expertise building AI-powered applications utilizing large language models (LLMs), agent frameworks, and orchestration platforms (e.g., OpenAI, Claude, Bedrock, LangChain, LangGraph).Experience developing Retrieval-Augmented Generation (RAG) solutions, semantic search capabilities, and enterprise knowledge systems leveraging vector databases and retrieval frameworks.And the bolded below is the new/replacementBachelor's degree or equivalent experience with 5+ years of software engineering experience.Proven experience designing and delivering scalable, production-grade software solutions and distributed systems.Strong experience using LLMs and Generative AI technologies to solve real business challengesStrong full-stack engineering background with modern languages and frameworks such as Python, TypeScript, Node.js, APIs, React, and Next.js.Hands-on experience deploying and scaling applications within cloud environments such as AWS, Azure, or Google Cloud.Experience with modern platform engineering and DevOps practices, including containers, Kubernetes, Infrastructure-as-Code, and cloud-native architectures.Strong understanding of software architecture, design patterns, security, and reliability principles for enterprise-scale applications.Excellent problem-solving skills, sound technical judgment, and a passion for building innovative solutions.