ML Infrastructure Architect

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