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Jobs for HumanityListed on Himalayas
Full-Stack Engineer
Remote · Lebanon
Source: Himalayas. This job was published on Himalayas; you apply there.
$1K–$1K/moRemoteFull-timeMid levelDeveloper
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Pay
$1K–$1K/mo
Published in the job listing
Prepare for this job
Free on every jobLikely interview questions
Prepare for this interviewSkills mentioned
llmreactawsazureci/cdgcpjavascriptmongodbnode.jsnosqlpythontypescript
About the role
About the Role
We're looking for a Full-Stack Engineer to build our web application end-to-end and bring the MVP to life. You'll own the user-facing product and the backend that supports it, working closely with the AI Engineer to weave intelligent, real-time AI interactions into a smooth, reliable experience.
What You'll Do
- Build and ship the web application across frontend and backend, from UI components to APIs and data models
- Design and implement a responsive, real-time conversational interface (React, WebSockets/SSE)
- Develop backend services: authentication, session management, data persistence, and third-party integrations
- Integrate AI and multi-agent services into the product in partnership with the AI Engineer
- Design and maintain databases and API contracts that scale with product complexity
- Own performance, reliability, and security across the stack
- Translate product and design requirements into well-tested, maintainable features
- Move fast in an early-stage environment, balancing speed with quality
- 4+ years of full-stack software engineering experience
- Strong proficiency in TypeScript/JavaScript and a modern frontend framework (React preferred)
- Solid backend experience (Node.js, Python, or similar) building and consuming APIs
- Experience designing relational and/or NoSQL data models (PostgreSQL, MongoDB, etc.)
- Familiarity with real-time communication patterns (WebSockets, SSE) and streaming UIs
- Understanding of authentication, authorization, and secure data handling
- Experience integrating third-party APIs, ideally including LLM or AI services
- Comfort owning features end-to-end with minimal oversight
- Experience building with LLM APIs or AI-powered product features
- Familiarity with cloud platforms (AWS/GCP/Azure) and CI/CD pipelines
- Knowledge of caching, queuing, and background job processing
- Prior early-stage startup or 0-to-1 product experience
Originally posted on Himalayas