Note: The job is a remote job and is open to candidates in USA. JSR Tech Consulting is recruiting for its client, a global pharmaceutical and healthcare organization, which is developing digital applications powered by Generative AI, scientific literature, real-world evidence, and advanced data analytics. The Senior Full Stack Generative AI Engineer will design, develop, and maintain full-stack applications and integrate AI and LLM capabilities into scalable enterprise solutions for research, knowledge discovery, information retrieval, and decision support.
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
Skills
- 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
- 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
- The ability to build high-quality software and work with emerging AI technologies is more important
- 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
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