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Remote Full-Stack Developer (Python, React, AI)

Huzzle

New Remote
Remote 🇬🇧 English
Python FastAPI React MongoDB AWS GitHub

Job description

About the role

Huzzle connects B2B sales professionals with companies worldwide, including startups, digital agencies and tech platforms in SaaS, MarTech, FinTech and EdTech. It is recruiting a remote AI backend / full-stack engineer to help build and scale an AI-powered travel planning platform. You will work closely with product and engineering teams to develop backend services, build APIs and contribute to frontend features, in a startup environment.

Key responsibilities

  • Develop and maintain backend services using Python and FastAPI
  • Build and optimize APIs that power AI-driven travel planning features
  • Collaborate with engineers through GitHub pull requests and code reviews
  • Contribute to sprint planning and agile development cycles
  • Work on frontend components using React
  • Integrate backend systems with MongoDB databases and AWS infrastructure
  • Ensure code follows clean architecture principles and coding standards, and improve performance, reliability and scalability
  • Work with AI and product teams to implement new platform capabilities

Required profile

  • Strong English communication skills
  • Comfortable working in a startup environment and taking ownership of deliverables
  • Nice to have: experience with AI-assisted development tools such as Claude Code, and a strong understanding of software architecture and scalable system design

Required skills

  • Python backend development
  • API development with FastAPI or similar frameworks
  • React for frontend development
  • MongoDB
  • GitHub for version control, pull requests and collaboration
  • AWS or similar cloud infrastructure
  • Sprint planning and agile workflows

What we offer

  • Fully remote work with international teams
  • Career growth within companies in SaaS, MarTech and B2B services
  • Access to a peer community of sales professionals
  • Ongoing support from Huzzle before and after placement
  • Tailored compensation depending on client and candidate preference

Questions fréquentes

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Source : ats:workable

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Published 1 day ago

Expires 1 month from now

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