Prinicipal AI Engineer

Digipulse Technologies Inc.; Covington (KY); On-site; USD 140,000 - 210,000; Full time

Job summary

Digipulse Technologies Inc. seeks a Principal AI Engineer to design and deliver scalable AI-powered software in Covington, KY.

The role emphasizes production-grade systems, distributed architectures, and strong full-stack capabilities across Python, TypeScript, Node.js, APIs, React, and Next.js. The candidate should have hands-on cloud experience (AWS/Azure/GCP), modern platform engineering, DevOps practices, containers, Kubernetes, and IaC, driving concepts to production with security and

Qualifications

• Bachelor's degree or equivalent with 8+ years of software engineering experience or a Master's with 6+ years.
• Proven experience delivering scalable, production-grade software and distributed systems.
• Expertise building AI-powered apps using LLMs, agent frameworks, and orchestration platforms.
• Experience with RAG, semantic search, and enterprise knowledge systems using vector databases.

Skills

Python

TypeScript

Node.js

APIs

React

Next.js

Cloud-native architectures

DevOps practices

Education

Bachelor's degree or equivalent with 8+ years

Master's degree with 6+ years

Tools

OpenAI

Claude

Bedrock

LangChain

LangGraph

Vector databases

Job description

Role: Prinicipal AI Enginner - Locals only - Covington, KY

W2 only ** NO C2C**

Principal AI Engineer

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.

Rounds of interviews: 2-3 rounds 1st – Zoom/phone-screen

2nd- Zoom meeting w/ Tech team, Architect/Engineer and then someone from the product team/business side if they pass the technical