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Senior Full-Stack Engineer (AI Oriented)

🇺🇸 San Francisco, United States Fully remote5+ years
Required Candidate location: Brazil or Argentina

This position is no longer available

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Skills & Languages

Must-have required
Python3 Year(s)Node.js3 Year(s)React.js3 Year(s)Microservices1 Year(s)Go Lang3 Year(s)Typescript3 Year(s)Artificial Intelligence3 Year(s)
Nice-to-have
Cms3 Year(s)
Languages required
English

About the Role:


This is for our partner's Career Site + IT Portal Work which has a distinct emphasis on the candidate experience. In addition to AI solution development, this role requires owning the career site frontend architecture, CMS integrations, and complex API integrations to manage dynamic job postings and application flows. 


*This role is open for candidates located in Brazil and Argentina.


Most Important:


  • 5+ years in software engineering, with at least 6 months focused on applied AI/GenAI.
  • Strong Front-End engineering skills using React and TypeScript, focused on building performant and accessible web experiences.
  • Backend programming skills (Golang preferred), along with Python and Node.js.
  • Expertise in microservices, REST/gRPC APIs, queues, and event-driven patterns.
  • Must have experience building API integrations with third-party platforms (e.g., Greenhouse, Workday, HR/ATS systems) and solving complex data synchronization challenges .
  • Experience with Temporal.
  • Experience with LLM architectures (RAG, agents, fine-tuning) and tools like Gemini, Claude, LangChain/LangGraph, and Python.
  • Ability to integrate AI into candidate experiences, such as building AI-powered chatbots.
  • Proficiency using AI copilots like LibreChat, Gemini, and Glean.


Nice-to-Have:


  • Specific expertise with Contentful CMS (content modeling, delivery/preview API integrations).
  • Specific experience with Greenhouse APIs (embed API, harvest API) and job board integration patterns.
  • Experience building career sites, candidate-facing recruitment platforms, or conversational AI/chatbots.
  • Prior experience building production ML/AI systems or AI agents.








 

Includes 2 screening questions.

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