The technologies you’ll find most often among Nepali developers are JavaScript and TypeScript with React and Node.js, Python, cross-platform mobile with Flutter or React Native, PHP with Laravel, relational databases, and AWS or Google Cloud. Applied AI work, especially LLM applications and retrieval, is growing fast. Deep niches such as embedded systems are harder to staff.
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The list below is based on what we see when we hire in Lalitpur and Kathmandu and on the stack we use every day: React, Next.js, TypeScript, Node.js and Python on Supabase, Google Cloud and AWS, plus LLM agents, retrieval-augmented generation and evaluation suites. It’s an observation from the market, not a survey, so treat it as a starting point for your own interviews.
Which technologies do Nepali developers work with most?
JavaScript and TypeScript dominate, mostly as React on the front end and Node.js on the back end, with Python close behind for back-end, data and AI work. Laravel remains common in agency and enterprise web work. Flutter and React Native cover most mobile projects. AWS is the most common cloud, with Google Cloud growing.
1. React and Next.js
The most common front-end skill in the market. Most experienced front-end developers have shipped SaaS dashboards or customer-facing apps in React, and Next.js has become the default for new projects that need server rendering. When hiring, check for real experience with state management, accessibility and performance, not just component building.
2. TypeScript
Now expected on serious JavaScript projects, front end and back end. Developers who came up through plain JavaScript usually adapt quickly. Ask candidates how they’d type an API boundary; it separates people who use TypeScript from people who tolerate it.
3. Node.js
The usual partner to React, so the full-stack JavaScript profile (React plus Node.js with Express or NestJS) is one of the easiest to find. It suits REST and GraphQL APIs, real-time features and serverless functions.
4. Python
Used for back-end services (Django, FastAPI, Flask), automation, data pipelines and almost all AI work. Python developers with production data experience, not just notebooks, are worth the extra screening effort.
5. Flutter and React Native
Most mobile work here is cross-platform. Flutter is widely taught and popular for new apps; React Native fits teams that already use React. Native Swift and Kotlin specialists exist but are scarcer, so budget more time if you need them.
6. PHP and Laravel
Still one of the largest skill pools because of years of agency and enterprise web work. A good fit for maintaining or extending existing Laravel systems, admin-heavy products and content platforms.
7. PostgreSQL and other databases
Back-end developers are usually comfortable with PostgreSQL and MySQL, and many have used MongoDB. Supabase (managed Postgres with auth and storage) has become a quick way to stand up MVP back ends, and pgvector makes Postgres a reasonable first choice for retrieval in AI products.
8. AWS and Google Cloud
AWS is the most common cloud in client work; Google Cloud is growing, particularly for teams already on Firebase or Google’s AI services. Look for hands-on experience with networking, IAM and cost control, not only certificates.
9. Docker, CI/CD and infrastructure as code
Containerised deployment with Docker and pipelines on GitHub Actions or GitLab CI are standard among mid and senior engineers. Kubernetes and Terraform skills are concentrated in more senior DevOps profiles. Our guide to building a CI/CD pipeline for enterprise teams covers what a good setup includes.
10. Applied AI: LLM applications, retrieval and evaluation
The fastest-moving area. Developers are building with LLM APIs, retrieval over company documents and agent frameworks, with PyTorch and scikit-learn for classic machine learning. The scarce skill isn’t calling an API; it’s evaluation, meaning knowing whether the system is actually right. Kathmandu University’s Department of Artificial Intelligence, our academic partner, is one of the places building that pipeline of talent.
What do developers in Nepal cost?
Well below onshore rates in the US, Europe or Australia. Cost depends on seniority more than on the specific framework, with specialist AI and DevOps profiles at the top. We don’t publish rates: we quote after a free 30-minute discovery call and send a written proposal with pricing within two working days.
| Model | Time to start |
|---|---|
| Staff augmentation (1–5 engineers) | 5–10 working days |
| Dedicated team (3–15+ engineers) | 2–4 weeks |
For a wider view of what drives cost, see software development cost in Nepal.
Where is Nepal’s talent pool thinner?
Nepal’s market is smaller than India’s or the Philippines’, so very large teams take longer to assemble, and some niches are scarce: embedded and firmware, mainframe, game engines, and very senior native mobile developers. Senior engineers in any stack also attract strong competition from local product companies and remote employers abroad.
If your project depends on one of those niches, ask any vendor to show you the specific people before you commit. A vendor that’s confident about every technology probably hasn’t checked its bench.
How do you hire for these skills through Dignep?
Tell us the stack, the seniority mix and how you want to work. For individual engineers working inside your team, staff augmentation starts in 5 to 10 working days. For a stable product team, a dedicated team is ready in 2 to 4 weeks.
Details are on our staff augmentation and dedicated teams pages. For AI-specific roles, see AI staffing solutions. If you’re still deciding whether Nepal makes sense at all, start with IT outsourcing in Nepal: talent, costs and how it works.
Frequently asked questions
Can Nepali developers work on AI and machine learning projects?
Yes. LLM application development, retrieval and classic machine learning are all available, though experienced ML engineers are scarcer than web developers. We build our own AI products, including Certifyi, an AI SaaS GRC platform, and run the Dignep AI Research Unit.
How does working-day overlap affect hiring from Nepal?
Nepal Time is UTC+5:45. With a 09:00–18:00 day, India shares almost all of it, Sydney about 3–4 hours, Central Europe about 4 and the UK about 3. The US has no natural overlap, so we agree a daily call window before work starts.
