Artificial Intelligence Engineer
pmg globalCovington (KY)
About the role
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.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
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A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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