Senior Software Engineer AI, Drug Development IT – Clinical Operations

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Skills you'll use

What you'll do

• 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

Who can apply

• 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

About Bristol Myers Squibb

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