AI & Machine Learning · Mumbai, India
Hire a RAG Systems Engineer in Mumbai
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.
Mumbai is India’s financial capital and the hub of the country’s fintech and enterprise SaaS ecosystem. Startups here move fast and need developers who can match that pace — shipping MVPs before the next board meeting, not after. Based in India myself, there is zero timezone friction — real-time collaboration during IST business hours, rapid iteration cycles, and rates that stretch your budget further than Western contractors.
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.
- MandiPeTechnical Co-Founder — Web dashboard for suppliers and delivery ops, paired with a customer Android app on Google Play — built as technical co-founder, not as a throwaway marketing site.
- 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.
- Divine Care IndustriesLead Engineer — Web & Android — An industrial B2B dashboard CRM with realtime catalogue indexing and order management — plus a native companion Android app on Google Play — shipped for an external industrial brand.
FAQ
- Do you work with Mumbai-based companies?
- Yes. I work remotely and have delivered for clients in India and internationally. Whether you are a startup or an established business in Mumbai, the engagement process is the same — email a brief, fit call, then scoped milestones.
- 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.