Senior AI Fullstack Engineer

Avispa Technology
South San Francisco, CA

Senior AI Fullstack Engineer ROCGJP00039270

  • Hourly pay: $50-$60/hr
  • Worksite: Leading biotech 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 biotech company is seeking a Senior AI Fullstack Engineer. The successful candidate will be primarily 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 Fullst ack 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 Fullsta ck Engineer Qualifications:

  • 5+ years of full-stack development experience.
  • 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).
  • 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.
  • 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)
  • A clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standards of practice.
  • 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.
  • 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.
Posted 2026-01-21

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