M**** Gurung
Senior LLM Engineer
From RAG pipelines to agentic workflows and model infra, we match you with vetted engineers who can start fast and ship in production.
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A small sample of vetted engineers across applied AI, retrieval, evals, LLM products, and platform engineering.
Senior LLM Engineer
Agentic Systems Architect
Applied ML Engineer
Full-Stack AI Engineer
We assess technical depth, system design, live implementation, and communication before anyone reaches your inbox.
Python, systems thinking, and core problem solving.
RAG, evals, infrastructure, and real model tradeoffs.
Hands-on implementation under real constraints.
Clear thinking, ownership, and team readiness.
For US teams, Nepal creates a practical follow-the-sun workflow: clear evening handoffs, focused execution overnight, and progress waiting in the morning.
Your team signs off with context, tasks, and blockers.
Your engineer continues shipping while the US team is offline.
Updates land before the next workday starts.
Models, orchestration, retrieval, infra, and eval tooling our engineers already work with.
Production LLM APIs and open model choices.
Agentic workflows, tool use, and reusable AI pipelines.
Search quality, indexing, chunking, and knowledge systems.
Reliable model serving, deployment, and cost control.
Testing, monitoring, and release confidence for AI features.
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