Top 1% AI Engineers

Senior AI engineers, ready to build

From RAG pipelines to agentic workflows and model infra, we match you with vetted engineers who can start fast and ship in production.

Matching process

From request to onboarded engineer

01

Brief

Share the kind of engineer you need.

02

Match

We shortlist vetted engineers with the right technical depth and working style.

03

Start

Interview, onboard, and begin shipping in days.

24-48h
shortlist
Rigorous
technical vetting
Client-ready
communication
The vetting process

Four checks before we introduce a candidate

We assess technical depth, system design, live implementation, and communication before anyone reaches your inbox.

01

Technical screening

Python, systems thinking, and core problem solving.

02

Architecture deep dive

RAG, evals, infrastructure, and real model tradeoffs.

03

Live coding

Hands-on implementation under real constraints.

04

Communication check

Clear thinking, ownership, and team readiness.

Time-zone advantage

You sleepWe ship.

For US teams, Nepal creates a practical follow-the-sun workflow: clear evening handoffs, focused execution overnight, and progress waiting in the morning.

1
US evening

You hand off priorities

Your team signs off with context, tasks, and blockers.

2
Nepal daytime

Execution keeps moving

Your engineer continues shipping while the US team is offline.

3
US morning

You wake up to progress

Updates land before the next workday starts.

Core stack

AI expertise your team can hire for.

Models, orchestration, retrieval, infra, and eval tooling our engineers already work with.

Models & APIs

Production LLM APIs and open model choices.

OpenAIClaudeGeminiLlama 3Mistral
Orchestration

Agentic workflows, tool use, and reusable AI pipelines.

LangChainLangGraphLlamaIndexDSPyCrewAI
Retrieval & Search

Search quality, indexing, chunking, and knowledge systems.

PineconeWeaviateQdrantpgvectorElasticsearch
Infra & Serving

Reliable model serving, deployment, and cost control.

PyTorchvLLMModalDockerKubernetes
Evals & Observability

Testing, monitoring, and release confidence for AI features.

LangSmithPromptfooWeights & BiasesHeliconeArize
Request a match

Ready to build?

Tell us about your project. We'll hand-pick the best fit from our network and respond within 48 hours.

For developers

Nepal based AI engineer?

Join a selective network of senior engineers building AI products for global teams.