Full Stack Generative AI Engineer

The position is listed on behalf of a partner company managing all applications and next steps. They are seeking a Full Stack Generative AI Engineer based in the United States.

About the role

You will be responsible for designing, developing, testing, deploying, maintaining, and enhancing full-stack applications across the frontend, backend, database, and AI layers. You will also develop modern, responsive user interfaces using React, Next.js, TypeScript, and JavaScript; develop scalable backend services and APIs using Python and FastAPI; design, query, and integrate data using Microsoft SQL Server and other relevant data sources; integrate Generative AI and Large Language Model capabilities into enterprise applications and workflows; develop AI-enabled solutions for information retrieval, summarization, knowledge discovery, question answering, and decision support; collaborate with data scientists, AI professionals, product teams, business partners, and other stakeholders to translate requirements into scalable solutions; and evaluate emerging AI technologies and development practices and recommend approaches that improve application capabilities. You will write clean, maintainable, well-tested code while contributing to sound engineering standards and practices. You will assess the quality, accuracy, and reliability of AI-generated outputs and help improve application performance and usability.

Requirements

• 3–6 years of professional experience in software engineering or full-stack development.
• Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline.
• Strong hands-on experience with modern JavaScript and TypeScript, including React; experience with Next.js is strongly preferred.
• Strong proficiency in Python and experience developing backend services and APIs; FastAPI experience is highly desirable.
• Experience working with SQL databases, preferably Microsoft SQL Server.
• Demonstrated ability to develop and integrate applications across both frontend and backend technologies.
• Experience working with APIs and integrating external data sources or services.
• Practical exposure to Generative AI, Large Language Models, or AI-powered application development.
• Experience with LLM APIs, AI-powered search, question-answering systems, automated summarization, document analysis, prompt engineering, RAG, embeddings, vector databases, or knowledge bases is highly valued.
• Strong analytical, problem-solving, and debugging skills, with the ability to approach complex technical challenges methodically.
• Strong written and verbal communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.
• Adaptability and curiosity, with the ability to learn new technologies and work effectively in a rapidly evolving environment.
• Experience developing production AI-enabled web applications from concept through deployment is particularly advantageous.
• Experience with cloud-based application development and exposure to healthcare, pharmaceuticals, life sciences, scientific data, clinical information, or other regulated environments is preferred but not required.
• A Master’s degree in Computer Science, Software Engineering, Data Science, AI, or a related field is a plus.

Benefits

Opportunity to work on innovative applications combining full-stack engineering with Generative AI and LLM technologies. Exposure to real-world applications involving scientific literature, real-world evidence, advanced analytics, and knowledge discovery. Opportunity to collaborate with multidisciplinary teams spanning software engineering, AI, data science, product, business, and scientific functions. Hands-on experience with modern technologies including Next.js, React, TypeScript, Python, FastAPI, Microsoft SQL Server, and Generative AI. Opportunity to explore emerging AI development approaches, including RAG, embeddings, vector search, and AI-powered applications. Potential to contribute to meaningful digital solutions within a complex healthcare and pharmaceutical environment. Fast-paced environment that encourages technical growth, innovation, adaptability, and continuous learning. Compensation and additional benefits are not specified in the provided job description.