Senior AI Full-Stack Engineer

Job Title:
Senior AI Full Stack Engineer

Duration:
12+ Months (Possibility for Extension)

Location:
South San Francisco, CA

Flexibility:
On-Site

The Position:

• We advance science so that we all have more time with the people we love.
• Client’s Early Clinical Development (ECD) department is seeking a talented and motivated Software Developer 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 (e.g., Clinical Science, Clinical Operations, Medical Writing, Quality, Regulatory).
• It develops industry-leading solutions for highly complex business problems. To manage the design and pilot of these software products, they apply a high degree of ingenuity and creativity while keeping a finger on the pulse of the rapidly changing tech and healthcare landscapes.
• The Software Engineer will primarily be responsible for designing, developing, and deploying software that interacts with cutting-edge generative AI
• models and applications in collaboration with AI scientists, full-stack developers, and others.
• Their work will directly impact our ability to create and deliver innovative solutions that leverage AI to solve complex problems and enhance user experiences.

The Opportunity:

• 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.
• Code Quality and Documentation: Write clean, maintainable, and well- documented code.
• Participate in code reviews and contribute to best practices in software development.
• Research and Innovation: Stay up to date with the latest advancements in generative AI and machine learning. Evaluate new technologies and methodologies to continuously improve our solutions.
• Collaborate with Cross-Functional Teams: Work closely with data scientists, engineers, and product managers to integrate generative AI capabilities into our products and services.
• Deployment and Monitoring: Develop and maintain robust deployment pipelines for AI-enhanced applications.
• Monitor pipeline performance in production and implement necessary improvements.

Who You Are:

• An experienced full stack developer capable of bringing your expertise to our existing and upcoming AI applications/projects as both a leader and individual contributor.
• Someone with a clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice.

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 either a front-end framework (Vue.js, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask,Next.js, or similar)
• 4+ years of experience with front-end frameworks (preferably Vue.js)
• 2+ years of developing and deploying AI/ML solutions or applications
• Experience designing and developing RESTful APIs (with e.g. Python FastAPI).
• Familiarity with prompt engineering
• Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes)
• Strong automated software testing skills (Python unittest, jest, Playwright)
• Familiar with Agile methodologies
• Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges.
• Leading system design and implementing scalable, fault-tolerant solutions for complex, distributed computing challenges.
• Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Experience with cloud platforms (e.g. AWS) and modern data platforms (e.g., Snowflake).
• Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications (AI-assisted automation)

Preferred Qualifications:

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