Senior AI Fullstack Engineer

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Job Title: Senior AI Fullstack Engineer
Duration: 12 months
Location: South San Francisco, CA
W2 Contract - Local Candidates Preferred
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