Senior AI Fullstack Engineer

Job Description

Job Description

Senior AI Fullstack Engineer ROCGJP00037833

• Hourly pay: $50-$60/hr
• Worksite: Leading biotechnology company (South San Francisco, CA 94080 - Onsite)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
• 40 hours/week, 12 Month Assignment

A leading biotechnology company is seeking a Senior AI Fullstack Engineer.The successful candidate 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.

Senior AI Fullstack Engineer Responsibilities:

• 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.
• Deployment and Monitoring: Develop and maintain robust deployment pipelines for AI-enhanced applications. Monitor pipeline performance in production and
  Implement necessary improvements.

Senior AI Fullstack Engineer Qualifications:

• 5+ years of full-stack development experience.
• 4+ years of experience with front-end frameworks (preferably Vue.js).
• 2+ years of developing and deploying AI/ML solutions or applications.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Strong proficiency in either a front-end framework (Vue.js, React, or similar) and a backend web framework in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar).
• 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)
• Experience building AI agents, fine-tuning LLM models, and evaluating bias and fairness with LLM systems is preferred.
• Experience in developing Microsoft Word add-ins using Office.js. is preferred.
• Experience with web technologies like JWT, WebSockets, etc. is preferred.
• Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar is preferred.
• Clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice.
• 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.
• Familiarity with DevOps, infrastructure, and continuous integration concepts is preferred.
• Familiarity with CRDT technologies like Yjs is preferred.
• Experience with using NLP/LLMs on clinical text is preferred.
• Basic knowledge of clinical drug development is preferred.