Principal AI Full Stack Engineer 181797

CTI Consulting • Covington, KY

10d

About The Position

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. 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

Requirements

• 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.
• Strong experience using LLMs and Generative AI technologies to solve real business challenges.
• 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.

Nice To Haves

• Experience leveraging Large Language Models (LLMs) to solve business problems
• Strong understanding of prompt engineering, prompt management, and GenAI solution design
• Experience working with GenAI developer tools such as: GitHub Copilot, Gemini, Claude
• Familiarity with AI strategy, implementation, and scaling AI-driven solutions
• Strong backend engineering background (role is heavily backend-focused)
• Hands on experience with programming languages such as Java, Node.js, Python
• Familiarity with modern web application architectures
• API design, development, and integration expertise
• Strong data engineering experience
• Experience with data pipelines, data stores, orchestration frameworks, and distributed systems
• Understanding of machine learning workflows and AI-enabled applications
• Experience deploying and scaling AI/ML solutions in production environments
• Cloud-native development experience
• Kubernetes and containerized application deployment
• Experience with deployment patterns and scalable system design

Responsibilities

• Architect and build complex solutions at the intersection of AI, data engineering, and cloud architecture.
• Translate emerging AI capabilities into practical applications.
• Develop AI-powered capabilities to improve advisor effectiveness and client engagement.
• Design and deliver scalable, production-grade software solutions and distributed systems.
• Leverage Large Language Models (LLMs) and Generative AI technologies to solve real business challenges.
• Implement modern platform engineering and DevOps practices.
• Collaborate effectively across engineering, data, product, and business teams.
• Drive initiatives from concept to production.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal