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Member of Technical Staff - AI Engineer (Frontend Focus)

Full Stack Full-time Nepal

Job details

Not specified Salary
Nepal Eligibility
Staff Experience
Full-time Employment

About this role

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.

Skills detected in the listing

TypeScriptJavaScriptReactPythonGoAWS
Detected Oct 12, 2026
Last verified Oct 12, 2026

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