At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Senior Software Engineer AI, Drug Development IT – Clinical Operations

Position Summary:

At BMS, digital innovation and Information Technology are central to our vision of transforming patients’ lives through science. To accelerate our ability to serve patients around the world, we must unleash the power of technology.  We are committed to being at the forefront of transforming the way medicine is made and delivered by harnessing the power of computer and data science, artificial intelligence, and other technologies to promote scientific discovery, faster decision making, and enhanced patient care.

If you want an exciting and rewarding career that is meaningful, consider joining our diverse team!

As IT for Global Drug Development (GDD), this position would be based out of our BMS Hyderabad you are part of the GDD data team that delivers automated solutions leveraging Generative AI, Data Science and analytics capabilities for Drug Development Document Generation. The ideal candidate will have a strong background in designing & Developing Python applications in a Data intensive environment.

Key Responsibilities

• Collaborate with product managers and designers to understand project requirements and translate them into technical solutions.
• Design, implement, and fine-tune LLM-based solutions using Claude and other frontier models
• Build and manage prompt engineering pipelines, including system prompts, chain-of-thought frameworks, and few-shot examples.
• Build responsive, high-performance user interfaces using modern frameworks such as React.js.
• Develop intuitive AI-powered dashboards, chat interfaces, and data visualization components
• Customize and optimize model implementations through Constitutional AI techniques and advanced API integrations.
• Evaluate model performance, run A/B tests, and implement feedback loops for continuous improvement
• Stay up to date with the latest advancements in LLMs, foundation models, and generative AI trends.
• Architect and develop scalable backend services using Python (FastAPI, Django, Flask) and/or Node.js
• Design and maintain robust RESTful APIs and GraphQL endpoints supporting AI model integrations
• Implement secure authentication, authorization (OAuth 2.0, JWT), and role-based access control (RBAC)
• Manage and optimize databases including PostgreSQL, MongoDB, and Redis
• Conduct code reviews and provide mentorship to junior developers.
• Coaching and mentoring: Coaching and mentoring the development team on agile methodologies and best practices to ensure that they are continuously improving their skills and knowledge.
• Mentors other team members effectively to unlock full potential.
• Prior experience working in an Agile/Product based environment.

Qualifications & Experience

• 4-8 Years experience required, with minimum 2 years in full stack.
• Strong understanding of front-end and back-end technologies, including - Python, flask, React.js, HTML, CSS, JavaScript and RESTful APIs.
• Experience with databases such as MySQL, Postgress, AWS Glue desired.
• Minimum one year of hands-on experience with frontier LLMs (Claude, GPT-4, Gemini, LLaMA).
• Prompt engineering — system prompts, chain-of-thought, few-shot & zero-shot techniques
• Fine-tuning models (LoRA, RLHF, instruction tuning)
• Building RAG (Retrieval-Augmented Generation) pipelines
• Working with LangChain, LlamaIndex, or similar orchestration frameworks
• Experience with vector databases (Pinecone, Weaviate, ChromaDB)
• Familiarity with model evaluation metrics and benchmarking
• Collects and reviews data sources and tries to apply potential recommendations.
• Groom and coach juniors in the team.
• Foster an environment of constant learning.
• Bachelor’s degree in computer science or a related field (preferred).

We hire for skills and capabilities, not just credentials – if this role excites you, but…