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# Sr. Full Stack AI Engineer

- **Company:** Mastech Digital, Inc.
- **Location:** Covington, KY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Cloud Engineering, Information Engineering, Data Infrastructure, Data Stores, Software Design Patterns, DevOps, Programming Tools, Distributed Systems, Python (Programming Language), Knowledge-Based Systems, Machine Learning, Node.Js, Software Architecture, OpenAI, Next.js, Search Technologies, Software Engineering, Software Systems, TypeScript, Web Applications, Google Cloud, Cloud Platform System, GitHub Copilot, ReactJS, Large Language Models, Prompt Engineering, Generative AI, Backend, Agentic-AI, Kubernetes, Machine Learning Operations, Claude, Api Design, Google Gemini, Data Pipelines, Programming Languages
- **Published:** October 9, 2026
- **Apply:** https://www.disabledperson.com/jobs/75936353-sr-full-stack-ai-engineer

## About the Role

* Experience leveraging Large Language Models (LLMs) to solve business problems
 * Strong understanding of prompt engineering, prompt management, and GenAI solution design
 * Experience working with GenAI developer tools such as GitHub Copilot, Gemini, and Claude
 * Familiarity with AI strategy, implementation, and scaling AI-driven solutions

 2. Backend & Full Stack Engineering (25%)
 * Strong backend engineering background, as the role is heavily backend-focused
 * Hands-on experience with programming languages such as Java, Node.js, and Python
 * Familiarity with modern web application architectures
 * Expertise in API design, development, and integration

 3. Data Platform Engineering (25%)
 * Strong data engineering experience
 * Experience with data pipelines, data stores, orchestration frameworks, and distributed systems
 * Understanding of machine learning workflows and AI-enabled applications
 * Experience deploying and scaling AI/ML solutions in production environments

 4. Cloud Architecture, Scale & Security (25%)
 * Cloud-native development experience
 * Experience with Kubernetes and containerized application deployment
 * Experience with deployment patterns and scalable system design
 * Understanding of secure, enterprise-grade architecture

The Skills You Bring

These 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., * Bachelor's degree or equivalent experience with 8+ years of software engineering experience, or a Master's degree with 6+ years of 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 challenges.
 * Strong 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.
 * Ability to collaborate effectively across engineering, data, product, and business teams while driving initiatives from concept to production.