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Staffing and Recruiting, IT Services, Management Consulting

Senior AI Fullstack Engineer

San Francisco, California, United StatesOnsiteContractSeniorPosted 1 month agoVisa sponsorship available

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Job Title: Senior AI Fullstack Engineer

Location:
South San Francisco, CA

Duration:
12 Months
Contract
(W2 Contractor)

Job Description:

  • 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 framework 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 unit test, 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
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