Full Stack Generative AI Engineer - Senior

About the Role

Our client, a global pharmaceutical and healthcare organization, is seeking a Senior Full Stack Generative AI Engineer to join an innovative technology team. This team develops modern digital applications that leverage Generative AI, real-world evidence, scientific literature, and advanced data analytics to help business teams make faster, better-informed decisions. The team is building a growing portfolio of internal applications that bring AI and modern software engineering into real-world healthcare and pharmaceutical workflows. These applications are designed to accelerate research, knowledge discovery, and response development for questions originating from stakeholders.

Key Responsibilities

• Design, develop, and maintain full-stack applications.
• Build modern, responsive user interfaces using Next.js and React.
• Develop scalable backend services and APIs using Python and FastAPI.
• Design, query, and integrate data using Microsoft SQL Server.
• Integrate Generative AI and LLM capabilities into enterprise applications.
• Build applications that can leverage scientific literature, real-world evidence, and other structured and unstructured information.
• Develop AI-enabled solutions for research, information retrieval, summarization, knowledge discovery, and decision support.
• Work across the full software development lifecycle, including architecture, development, testing, deployment, and enhancement.
• Collaborate closely with data scientists, AI professionals, product/business partners, and stakeholders.
• Translate business and scientific requirements into practical, scalable software solutions.
• Evaluate and incorporate emerging AI technologies and development approaches.
• Write clean, maintainable, well-tested code and contribute to sound engineering practices.

Required Qualifications

• 8-12 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 both frontend and backend technologies.
• Experience working with APIs and integrating external data or services.
• Exposure to Generative AI, Large Language Models, or AI-powered application development.
• Strong analytical and problem-solving skills.
• Strong communication and collaboration skills.
• Able to work effectively in a fast-paced environment where requirements and technologies may evolve quickly.

Generative AI Experience

• The successful candidate will have experience or meaningful exposure to using Generative AI and Large Language Models in software applications.
• Relevant experience may include:
• Building applications powered by LLM APIs.
• Integrating Generative AI capabilities into web applications.
• AI-powered search and information retrieval.
• Question-answering or knowledge-management applications.
• Automated summarization or document analysis.
• Prompt engineering and LLM interaction design.
• Retrieval-augmented generation (RAG).
• Working with embeddings, vector search, or knowledge bases.
• Evaluating the accuracy, quality, and reliability of AI-generated outputs.

Preferred Qualifications

• Strong hands-on experience with Next.js.
• Strong hands-on experience with FastAPI.
• Experience with Microsoft SQL Server.
• Experience developing production applications using Generative AI/LLMs.
• Experience with RAG, embeddings, vector databases, or AI-powered search.
• Experience with cloud-based application development.
• Experience working with healthcare, pharmaceuticals, life sciences, or another highly regulated industry.
• Experience working with scientific, medical, clinical, or real-world evidence data.
• Master's degree in Computer Science, Software Engineering, Data Science, AI, or a related technical discipline.