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Randstad USA

Principal AI Engineer

Career Insights for Natural Language Processing Engineer

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What they do

A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.

$117,055 / year median in Kentucky

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Job Description

principal ai engineer.latonia, kentuckyposted today job detailssummary$85 - $86 per hourcontractbachelor degreecategorycomputer and mathematical occupations reference 1345768 job details job summary: 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.
location:
Covington, Kentucky job type: Contract salary: $85 - 86 per hour work hours: 8am to 5pm education: Bachelors responsibilities: 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 qualifications: 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.
skills:
AWS,APIs,AI,AI engineering,AI solutions,artificial intelligence,AI capabilities,cloud architecture,cloud-native architectures,cloud environments,decision support,DevOps practices,distributed systems,Retrieval-Augmented Generation (RAG),Google Cloud,data engineering,knowledge systems,orchestration platforms,Kubernetes,large language models,LLMs,LLM,Azure,agent frameworks,Next.js,Node.js,productivity tools,Python,React,recommendation systems,semantic search,AI-powered applications,software architecture,design patterns,software engineering,software solutions,TypeScript,passion,problem-solving skills,reliability,administrative,advanced analytics,automation,Automated,brand,automate workflows,client experience,client engagement,communication channels,full-stack engineering,Infrastructure,innovative,innovative solutions,influencing,Investments,product innovation,platform engineering,use cases,security,technical depth,technical direction,vector databases,workflows,Workflow automation
Equal Opportunity Employer:
Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.