Senior AI Fullstack Engineer

Introduction:

We advance science so that we all have more time with the people we love. Early Clinical Development (ECD) department is seeking a talented and motivated Senior AI Fullstack Engineer reporting to the Director of software engineering at The Clinical Data Insights & Automation team (CDI&A). The CDI&A team collaborates with a broad range of stakeholders involved in the clinical development process, developing industry-leading solutions for highly complex business problems. The Senior AI Fullstack Engineer will be responsible for designing, developing, and deploying software interacting with cutting-edge generative AI models and applications in collaboration with AI scientists, full stack developers, and others.

Responsibilities:

• Innovate and develop software applications to support clinical development
• Identify and integrate AI/LLM capabilities to enhance data processing and natural workflows
• Design intuitive, user-centric interfaces
• Write clean, maintainable, and well-documented code
• Stay up-to-date with advancements in generative AI and machine learning
• Collaborate with cross-functional teams to integrate generative AI capabilities
• Develop and maintain robust deployment pipelines for AI-enhanced applications

Requirements:

Minimum Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
• 5+ years of full stack development experience
• Strong proficiency in front-end and backend web frameworks in Python and/or JavaScript
• 2+ years of developing and deploying AI/ML solutions or applications
• Experience designing and developing RESTful APIs
• Proficiency with containerized workflows and architectures
• Strong automated software testing skills
• Experience with Agile methodologies
• Experience with cloud platforms and modern data platforms
• Experience implementing chatbots, retrieval-augmented generation systems, and integrating LLMs into applications

Preferred Qualifications:

• Experience building AI agents and fine-tuning LLM models
• Experience in developing Microsoft Word add-ins
• Experience with web technologies like JWT, WebSockets
• Experience with Huggingface, Langchain, TensorFlow, PyTorch
• Familiarity with DevOps, infrastructure, and continuous integration concepts
• Experience with CRDT technologies like Yjs
• Experience with using NLP/LLMs on clinical text
• Basic knowledge of clinical drug development

EEO:

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”