Full Stack Generative AI Engineer

Summary

The client is a global pharmaceutical and healthcare organization developing digital applications for Medical & Scientific Affairs. The Full Stack Generative AI Engineer will design, develop, and maintain full-stack applications integrating Generative AI, scientific literature, real-world evidence, and advanced data analytics to support research, knowledge discovery, and decision-making.

Responsibilities

• Design, develop, and maintain full-stack applications supporting Medical & Scientific Affairs
• 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 Medical & Scientific Affairs 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

Skills

• 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
• Strong experience with Python
• Experience developing APIs and backend services
• Experience working with SQL databases
• 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
• The successful candidate will have experience or meaningful exposure to using Generative AI and Large Language Models in software applications
• 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
• A background in pharmaceuticals or life sciences is not required
• 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

Qualifications

Must Haves

• 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
• Strong experience with Python
• Experience developing APIs and backend services
• Experience working with SQL databases
• 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
• The successful candidate will have experience or meaningful exposure to using Generative AI and Large Language Models in software applications
• 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
• A background in pharmaceuticals or life sciences is not required

Nice to Haves

• 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