C
Principal AI Engineer
CTI Staffing Inc
1 hour ago
Full-time
On-site
Covington, Kentucky, United States
Job Title
Example Use Cases Representative Job Description
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.
Example Use Cases Representative Job Description
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.