Artificial Intelligence Engineer

PMG GLOBAL; Covington (KY); On-site; USD 120,000 - 190,000; Full time

Job summary

PMG GLOBAL is seeking a Sr. AI Engineer to join one of its client locations in Covington, Kentucky.

You will design and deliver scalable AI-powered software, build and deploy production-grade systems, and collaborate across product and engineering teams. You will leverage large language models, agent frameworks, and orchestration platforms, with focus on retrieval-augmented generation, semantic search, and knowledge systems.

Qualifications

• 5+ years of software engineering experience.
• Experience designing AI-powered applications and distributed systems.
• Proficient with LLMs, retrieval-augmented generation, and semantic search.
• Strong full-stack background with Python, TypeScript, Node.js, React/Next.js.

Skills

AI/ML Software Engineering

LLMs

Distributed Systems

Python

TypeScript

Node.js

Cloud Platforms

Education

Bachelor's degree or equivalent experience

Tools

Docker

Kubernetes

Terraform

LangChain

LangGraph

Snowflake/Data Pipelines

Job description

• We are sourcing a "Sr. AI Engineer" to work at one of our client's locations in Covington Kentucky.

The Expertise and Skills You Bring

• 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.
• 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.
• Data Engineering & AI Data Foundations

Snowflake, Databricks, Data Pipelines, ETL/ELT, Pinecone, Weaviate, Chroma, Semantic Search, Knowledge Retrieval, Enterprise Data

• Experience working with Docker, Kubernetes, Terraform and Cloud-Native Platforms, Microservices, Security, Scalability.