ABOUT THE ROLE
We are building two things that will define how DialNexa operates as a company and this engineer will own both of them.
The first is a company-wide knowledge base that makes everything DialNexa knows, about its product, clients, processes, data, and decisions, queryable by AI agents. Think of it as the memory layer of the company.
The second is the DialNexa AI OS, a growing suite of internal AI agents that automate work across operations, marketing, sales, engineering, and product. Every function in the company will have agents doing work that would otherwise require headcount. This engineer builds and maintains those agents.
This is not a research role. This is not a role where you fine-tune models and write papers. This is a deeply practical, execution-heavy role for someone who has already built AI agents that work in production and wants to build an entire operating system for a company from scratch.
If the idea of being the person who makes a whole company run leaner through AI genuinely excites you, this role was written for you.
WHAT YOU WILL OWN




Company Knowledge Base
Design and build a structured, queryable knowledge base that ingests data from across the company including product docs, client data, call transcripts, internal processes, CRM data, and more
Choose and manage the right vector database infrastructure to power quick, accurate retrieval
Build ingestion pipelines that keep the knowledge base current without manual effort
Make sure every AI agent in the company can pull the right context at the right time

DialNexa AI OS
Build and maintain AI agents that automate real work across every function in the company
Operations agents that monitor client health, flag risks, and surface insights from dashboards
Marketing agents that research prospects, draft content, and run enrichment workflows
Sales agents that qualify leads, prepare call briefs, and follow up on pipeline
Engineering and product agents that summarise ticket

📌 Ai Engineer Bengaluru (India)
🏢 DialNexa
📍 India