Full Stack Generative AI Engineer

Full Stack Generative AI Engineer

Our client, a global pharmaceutical and healthcare organization, is seeking a 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 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, accelerating research, knowledge discovery, and response development for stakeholders.

The ideal candidate is a strong full-stack software engineer with experience building modern web applications and a demonstrated interest in Generative AI and LLM-powered applications.

Technology Stack

• Frontend: Next.js, React, TypeScript, JavaScript
• Backend: Python, FastAPI
• Database: Microsoft SQL Server
• AI: Generative AI, Large Language Models (LLMs), AI-powered application development

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 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

• 3 to 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 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
• Ability 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

The ideal candidate does not need to be a machine-learning researcher. This role is focused on engineering and deploying useful applications that leverage AI.

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