Artificial Intelligence Engineer

PMG GLOBAL; Covington (KY); On-site; USD 120,000 - 180,000; Full time

Job summary

PMG GLOBAL is seeking a Senior AI Engineer to architect and deliver scalable AI-powered applications, leveraging LLMs and modern orchestration platforms. You will work with data, product, and business teams to translate AI capabilities into practical solutions.

The role emphasizes hands-on development, cloud deployment, and enterprise-grade reliability, with a focus on production-grade distributed systems and security.

Qualifications

• Bachelor's degree or equivalent with 8+ years in software engineering.

Responsibilities

• Architect and build complex AI solutions.
• Translate AI capabilities into practical applications with stakeholders.
• Collaborate across engineering, data, product, and business teams to move from concept to production.

Skills

LLM-based AI

Distributed systems

Cloud deployments

Kubernetes

Python/TypeScript

Team collaboration

Education

Bachelor's degree in CS or equivalent

Master's degree in CS/SE (optional)

Tools

OpenAI

Bedrock

LangChain

LangGraph

Vector databases

Terraform

Job description

**W2 Only** We are Hiring for Senior AI Engineer. This role is ideal for a hands-on Principal Engineer who thrives at the intersection of AI, data engineering, cloud architecture, and product innovation.

About the Role

Successful candidates will possess the technical depth to architect and build complex solutions while also working closely with business stakeholders to translate emerging AI capabilities into practical applications.

Responsibilities

• The Skills You Bring
• 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.
• 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.
• 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.

Required Skills

• Proven experience designing and delivering scalable, production-grade software solutions and distributed systems.
• 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.
• 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.