Principal AI Engineer

Dexian; Covington (KY); On-site; USD 150,000 - 190,000; Full time

Job summary

Dexian is building a new AI engineering organization focused on delivering innovative AI solutions that enhance advisor and client experiences. As a Principal Engineer, you will help shape technical direction, drive engineering best practices, and deliver AI-powered solutions from concept to production.

The role requires 8+ years of software experience or 6+ with a Master's, deep AI/LLM know-how, and cloud-scale engineering.

Qualifications

• 8+ years of software engineering experience or a Master's with 6+ years.
• 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.
• 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 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.

Responsibilities

• Shape technical direction and engineering best practices for a greenfield AI platform.
• Identify high-value AI use cases and deliver solutions from concept through production.
• Collaborate with business leaders, product teams, architects, data scientists, and engineers to translate capabilities into practical apps.
• Architect and build scalable AI-powered solutions leveraging LLMs and orchestration frameworks.
• Deliver production-ready capabilities that improve advisor productivity and client experiences.

Skills

AI/LLM expertise

RAG and semantic search

Full-stack engineering

Cloud deployment

DevOps & Kubernetes

Software architecture

Cross-functional collaboration

Problem solving

Production-grade systems

Education

Bachelor's degree or equivalent experience

Master's degree (preferred)

Tools

OpenAI

Claude

Bedrock

LangChain

LangGraph

Kubernetes

Job description

This is a unique Greenfield opportunity to help build a brand-new AI engineering organization focused on delivering innovative AI solutions that enhance the advisor and client experience across our client 's organization.

The team's mission is to leverage artificial intelligence, automation, advanced analytics, and large language models (LLMs) to tackle real business problems, streamline advisor workflows, reduce administrative overhead, and help advisors spend more time delivering value to clients.

The Expertise You Bring

As an early member of this organization, you will play a key role in shaping technical direction, influencing engineering best practices, and delivering AI-powered solutions from concept through production. This position offers the opportunity to work directly with business leaders, product teams, architects, data scientists, and engineers to identify high-value use cases and build secure, scalable, enterprise-grade AI capabilities that drive measurable business outcomes.

This role is ideal for a hands-on Principal Engineer who thrives at the intersection of AI, data engineering, cloud architecture, and product innovation. 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.

Example Use Cases

Representative initiatives may include developing AI-powered capabilities that improve advisor effectiveness and client engagement, such as:

• Automated meeting preparation and research
• Intelligent call summarization and insight generation
• Automated follow-up and workflow orchestration
• Knowledge retrieval and recommendation systems
• AI-assisted decision support and productivity tools
• Workflow automation leveraging enterprise data sources and communication channels

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.

Ultimately, I need a hands-on Principal Engineer who combines GenAI/LLM expertise, modern data engineering, and cloud architecture skills to identify business problems and deliver production AI solutions that improve advisor productivity, automate workflows, and create measurable business outcomes.

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.

Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit https://dexian.com/.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.