Senior AI Fullstack Engineer

Job Title : Senior AI Fullstack Engineer

The Position

We advance science so that we all have more time with the people we love.

Genentech'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 maintaining a finger on the pulses of the rapidly changing tech and healthcare

landscapes. The Software Engineer will primarily be responsible for designing,

developing, and deploying software which 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.

documented code. Participate in code reviews and contribute to best practices in

software development.

generative AI and machine learning. Evaluate new technologies and

methodologies to continuously improve our solutions.

engineers, and product managers to integrate generative AI capabilities into our

products and services.

for AI-enhanced applications. Monitor pipeline performance in production and

implement necessary improvements.

Who You Are :

existing and upcoming AI applications / projects as both a leader and individual

contributor.

applications, including potential benefits, limitations, and standard of practice.

Minimum Requirements :

related field.

backend web frameworks in Python and / or JavaScript (Django, FastAPI, Flask,

Next.js, or similar)

Kubernetes)

complex technical challenges.

complex, distributed computing challenges.

complex technical concepts to non-technical stakeholders.

Snowflake).

systems, and integrating LLMs into applications (AI-assisted automation)

Preferred Qualifications :

fairness with LLM systems

EEO :

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