M
Artificial Intelligence Engineer
Mastech
1 hour ago
Full-time
On-site
Covington, Kentucky, United States
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.
You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.
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. xsgimln Excellent problem-solving skills, sound technical judgment, and a passion for building innovative solutions.
You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.
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. xsgimln Excellent problem-solving skills, sound technical judgment, and a passion for building innovative solutions.