AI Fullstack Engineer

South San Francisco, CA, US • Posted 4 hours ago • Updated 4 hours ago
Contract W2
No Travel Required
On-site
$53 - $85/hr
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • AI
  • Node.JS
  • Python

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10179895
  • Position Id: 8915341
  • Posted 4 hours ago
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