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AI Fullstack Engineer

South San Francisco, California, United StatesOnsiteContractPosted 1 month agoVisa sponsorship available

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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Estuate Inc., is seeking the following. Apply via Dice today!
Estuate Inc is hiring for AI Fullstack Engineer
Contract role
Location : South San Francisco CA

  • 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

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