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Position: |
Senior AI Fullstack Engineer |
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Location: |
South San Francisco, CA |
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Status: |
Contract |
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Estimated Duration: |
12 Months |
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Starts |
READY TO HIRE |
Job
Description
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.
- 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 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
