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 Engineer

Location: Covington, KY

Duration: Full-Time

1. 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, Python


• Familiarity with modern web application architectures


• API design, development, and integration expertise

2. AI & LLM Engineering (25%)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, Claude


• Familiarity with AI strategy, implementation, and scaling AI-driven solutions

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

• 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.

And the bolded below is the new/replacement

• Bachelor'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 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.