Member of Technical Staff - AI Engineer (Frontend Focus)

DevDash Labs

USA

Remote

USD 3.000 - 8.900

Vollzeit

14 Tage+

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Benefits dieser Stelle

Monthly NPR 40,000-120,000 salary
Remote work with flexible schedule
Mentorship from founder and AI tools
Learning budget for courses and events

Zusammenfassung

DevDash Labs is seeking a software engineer to build user-facing features and backend systems for AI products. The role leans 60% frontend and 40% backend, blending interfaces, AI workflows, and production infrastructure.

You’ll move between product delivery, support and technical exploration in a fast-paced environment. The position is remote from Nepal, offering mentorship from the founder, access to AI tools and a learning budget, with a flexible, results-focused schedule and opportunities to

Qualifikationen

  • At least one year of software development experience.
  • Strong React or Next.js skills with TypeScript.
  • Hands-on familiarity with AI or ML tools, including LLMs, prompt engineering or RAG systems.
  • Based in Nepal with reliable internet and strong English communication skills.
  • Curiosity about building AI products, sound product design judgment, initiative and comfort working through ambiguity.

Aufgaben

  • Create polished interfaces for AI applications using React or Next.js, TypeScript, Tailwind CSS and component libraries.
  • Develop Python services and AI workflows, with FastAPI and tools such as LangChain or LlamaIndex among the technologies used.
  • Build AI agents and automation features using large language models and agent frameworks.
  • Work with retrieval-augmented generation, prompt design and AI operations practices.
  • Deploy and scale applications on AWS, and contribute to production support, prototypes and technical presentations.
  • Take ownership of problems, experiment with approaches and ship product improvements.

Kenntnisse

React
Next.js
TypeScript
Python
AI/ML curiosity

Tools

Tailwind CSS
FastAPI
LangChain
LlamaIndex
AWS

Jobbeschreibung

Role overview

Build user-facing features and backend systems for AI products, with work weighted toward frontend development (about 60%) and backend development (about 40%). You’ll develop interfaces, AI workflows and production infrastructure, moving between product delivery, support and technical exploration in a fast-paced environment. The role is remote from Nepal.

Responsibilities
  • Create polished interfaces for AI applications using React or Next.js, TypeScript, Tailwind CSS and component libraries.
  • Develop Python services and AI workflows, with FastAPI and tools such as LangChain or LlamaIndex among the technologies used.
  • Build AI agents and automation features using large language models and agent frameworks.
  • Work with retrieval-augmented generation, prompt design and AI operations practices.
  • Deploy and scale applications on AWS, and contribute to production support, prototypes and technical presentations.
  • Take ownership of problems, experiment with approaches and ship product improvements.
Requirements
  • At least one year of software development experience.
  • Strong React or Next.js skills with TypeScript, plus experience building Python backends; FastAPI experience is preferred.
  • Hands-on familiarity with AI or machine learning tools, including LLMs, prompt engineering or RAG systems.
  • Based in Nepal with reliable internet and strong English communication skills.
  • Curiosity about building AI products, sound product design judgment, initiative and comfort working through ambiguity.
Benefits and work setup
  • Monthly compensation of NPR 40,000-120,000, depending on experience and impact.
  • Remote work with a flexible, results-focused schedule; the stated average is 40-50 hours per week.
  • Direct founder mentorship, access to AI tools and API credits, and a learning budget for courses, conferences and development.
  • Exposure to product development across the lifecycle, including DevOps, MLOps, client work and product decisions; future international client deployment may be possible.
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