Generative AI Full-Stack Engineer — Next.js & Python

Creative Solutions Services, LLC

United States

On-site

USD 120,000 - 180,000

Full time

7 days ago

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Job summary

Creative Solutions Services, LLC seeks a Full Stack Generative AI Engineer to build modern web apps using Next.js, React, Python, and FastAPI. You will design scalable APIs, manage data with SQL Server, and embed Generative AI capabilities into enterprise software.

Ideal candidates will have 3–6 years of experience, strong JS/TS skills, and a passion for AI-powered applications. This role emphasizes engineering excellence, collaboration with data scientists, and delivery of production-ready

Qualifications

3–6 years of professional software engineering/full-stack development experience.
Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
Strong experience with modern JavaScript/TypeScript development.
Experience with React, with Next.js strongly preferred.
Strong experience with Python.
Experience developing APIs and backend services, with FastAPI strongly preferred.
Experience working with SQL databases, with Microsoft SQL Server preferred.
Experience building and integrating web applications across frontend and backend.
Exposure to Generative AI, Large Language Models, or AI-powered development.
Strong analytical and problem-solving skills.
Strong communication and collaboration skills.
Ability to work in a fast-paced environment where tech evolves.

Responsibilities

Design, develop, and maintain full-stack applications.
Build modern, responsive UIs using Next.js and React.
Develop scalable backend services and APIs with Python and FastAPI.
Design, query, and integrate data using Microsoft SQL Server.
Integrate Generative AI and LLM capabilities into enterprise apps.
Leverage scientific literature, real-world evidence, and data for AI features.
Develop AI-enabled solutions for information retrieval, summarization, and knowledge discovery.
Work across full software development lifecycle from architecture to deployment.
Collaborate with data scientists, product teams, and stakeholders.
Translate complex requirements into practical software solutions.
Evaluate emerging AI technologies and approaches.
Write clean, well-tested code and uphold engineering practices.