AI & Machine Learning · South Korea
Hire a RAG Systems Engineer in South Korea
I build enterprise Retrieval-Augmented Generation (RAG) pipelines that turn fragmented company documentation into accurate, hallucination-resistant knowledge bases. Utilizing Supabase pgvector, hybrid search, and semantic re-ranking, I deliver high-precision enterprise AI.
South Korea boasts the world’s fastest internet speeds and a hyper-competitive consumer tech market. Applications must load instantly, feature highly interactive frontends, and integrate smoothly with local platforms like Kakao. With minimal timezone difference between IST and KST, collaboration is nearly real-time. I deliver structured milestones with daily async updates and weekly demos.
RAGpgvectorEmbeddingsSupabasePython
Ready to hire
Proof — shipped systems
- FluxDialFounder & Lead Architect — An agent-first voice-calling CRM for phone-first businesses in India and Nigeria — built because wrapping US voice APIs does not survive local telecaller math.
- RonronLead Backend & AI Engineer — A predictive real estate CRM where automations, live connections, and Postgres-backed workflows do the heavy lifting — led from the backend and AI side for an external product team.
FAQ
- Do you work with clients in South Korea?
- Yes. I work remotely with clients worldwide and have delivered production systems for teams across multiple countries. Communication is async-first with structured milestones and weekly demos.
- What does a typical rag & vector database engineer engagement look like?
- It starts with a fit call to understand scope, then a written build plan with milestones. You see working software weekly — not slideshows. Most engagements land between 2-12 weeks depending on complexity. Technologies I typically use include RAG, pgvector, Embeddings, Supabase.
- What are your rates for rag & vector database engineer work?
- Rates depend on scope, complexity, and timeline. I price by project milestone (not hourly) so you know exactly what you are paying for. Email mailtanish.me@gmail.com with your brief for a scoped estimate.
- Can you show examples of your rag & vector database engineer work?
- Yes. Check the case studies on this page — each links to a detailed breakdown of the architecture, challenges, and outcomes. I have shipped 2+ production systems in this domain.