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Gen AI React engineer

PublishedPublished: 6/14/2022
Technology

Job Description

React Developer (GenAI)

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📍 Location: Cincinnati, Ohio (Hybrid/Onsite)

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💼 Employment Type: Full-Time

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👤 Role Type: Individual Contributor

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🕒 Experience: 8-15 Years

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About Incedo

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Incedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New Jersey. We are a long-term strategy execution partner for Fortune 500 enterprises, operating at the intersection of business and technology across Banking & Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences.

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We are building Incedo 4.0 - an AI-native, execution-focused, founder-led organization designed for scale, speed, and long-term impact.

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Incedo delivers ROI from AI @ Scale through the “Power of 3”:

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• Deep domain expertise

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• AI & Data capabilities

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• Engineering & Operations excellence

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About the Role

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We are seeking an experienced React Developer with Gen AI to join our growing technology team in Cincinnati, OH. This role is ideal for a highly skilled professional with a strong background in Generative AI, React, and modern Front-End development who is passionate about building intelligent, scalable, and user-centric AI-powered solutions.

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As a React , you will be responsible for designing, developing, and deploying cutting-edge AI applications that leverage Large Language Models (LLMs), advanced AI frameworks, and intuitive front-end interfaces. You will work closely with product managers, designers, data scientists, and engineering teams to deliver innovative AI-driven experiences that create measurable business value.

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Key Responsibilities

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  • Design, develop, and implement Generative AI applications using modern AI frameworks and technologies.
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  • Build scalable and responsive front-end applications using React and related technologies.
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  • Integrate Large Language Models (LLMs) and AI services into enterprise-grade applications.
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  • Develop intuitive user interfaces that enhance AI-powered user experiences.
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  • Collaborate with cross-functional teams to gather requirements and translate business needs into technical solutions.
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  • Optimize AI model performance, scalability, and response quality.
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  • Implement API integrations and connect AI models with enterprise platforms and data sources.
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  • Conduct testing, debugging, and performance tuning of AI applications.
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  • Stay updated with emerging trends and advancements in Generative AI, LLMs, and front-end technologies.
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  • Ensure adherence to security, compliance, and software development best practices.
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Required Qualifications

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  • 8-15 years of overall software engineering experience.
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  • Strong hands-on experience in Generative AI (GenAI) technologies and solutions.
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  • Expertise in building front-end applications using React.js.
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  • Solid experience in modern Front-End development, including HTML5, CSS3, JavaScript, and TypeScript.
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  • Experience integrating AI/ML models and APIs into production applications.
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  • Strong understanding of Large Language Models (LLMs) and AI application architectures.
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  • Experience working with REST APIs and cloud-based services.
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  • Knowledge of software design principles, microservices, and scalable application architecture.
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  • Excellent problem-solving, communication, and collaboration skills.
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  • Bachelor's or master’s degree in computer science, Engineering, Information Technology, or a related field.
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Preferred Qualifications

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  • Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar AI platforms.
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  • Knowledge of Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and AI orchestration frameworks.
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  • Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
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  • Familiarity with DevOps, CI/CD pipelines, and containerization technologies.
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  • Experience working in Agile/Scrum environments.
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Technical Skills

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Must-Have Skills

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  • Generative AI (GenAI)
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  • React.js
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  • Front-End Development
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  • JavaScript / TypeScript
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  • HTML5 & CSS3
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Nice-to-Have Skills

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  • OpenAI / Azure OpenAI
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  • LangChain
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  • Vector Databases
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  • RAG Architecture
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  • Cloud Platforms (Azure, AWS, GCP)
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  • REST APIs
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  • Git & CI/CD
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