Lead AI, Data & Analytics Engineer (Founding Engineering Team)

Lead AI, Data & Analytics Engineer (Founding Engineering Team)

Company: Business Sarthi

Location: Gurugram, Haryana (Hybrid)

Experience: 7–10 Years

Employment Type: Full-Time

Compensation: As per Industry best practices & standards

About Business Sarthi

Business Sarthi is building India's first AI-powered Business Operating System - a new category of enterprise technology designed to help businesses discover opportunities, make smarter decisions, and accelerate growth.

Rather than creating another ERP, CRM, or analytics tool, we're building an intelligent operating system that combines AI, enterprise workflows, business intelligence, automation, and analytics into a single unified platform.

We're assembling a high-calibre founding engineering team to build a scalable, AI-first SaaS platform capable of serving enterprises across India and beyond.

The Opportunity

As the Lead AI, Data & Analytics Engineer, you will be responsible for designing and building the intelligence layer that powers Business Sarthi.

This is a hands-on technical leadership role where you'll architect AI-powered capabilities, enterprise data platforms, analytics, Retrieval-Augmented Generation (RAG), intelligent document processing, and decision-support systems.

You will work directly with the founders and collaborate with Platform and Product Engineering teams to create intelligent features that differentiate Business Sarthi in the market.

Key Responsibilities

AI Engineering

Design and build AI-powered enterprise solutions using modern Large Language Models (LLMs).

Develop Retrieval-Augmented Generation (RAG) pipelines for document intelligence.

Integrate AI services such as Google Gemini, OpenAI, Claude, Llama, and similar enterprise models.

Design prompt engineering, AI orchestration, and intelligent workflow automation.

Improve AI response quality, accuracy, and explainability.

Data Engineering

Design and optimize PostgreSQL databases for large-scale enterprise applications.

Build scalable data models for multi-tenant SaaS architecture.

Optimize SQL queries, indexing, partitioning, JSONB structures, and database performance.

Develop secure and scalable data processing pipelines.

Enterprise Search & Knowledge Intelligence

Design and manage OpenSearch / Elasticsearch environments.

Build hybrid search capabilities combining keyword and semantic search.

Develop enterprise knowledge retrieval and intelligent document discovery.

Optimize indexing strategies and retrieval relevance.

Analytics & Business Intelligence

Build scalable analytics models and reporting frameworks.

Design real-time dashboards and business intelligence pipelines.

Enable AI-powered recommendations and decision-support capabilities.

Develop data aggregation and analytical processing workflows.

Intelligent Document Processing

Build ingestion pipelines for PDFs, Office documents, OCR outputs, APIs, and structured datasets.

Design document chunking, embedding generation, metadata extraction, and semantic indexing.

Support intelligent tender analysis, compliance checking, and document summarization.

Engineering Leadership

Mentor engineers on AI, data engineering, and analytics best practices.

Drive architecture discussions and technical strategy.

Collaborate with Product, Platform, and Engineering teams.

Define engineering standards for AI quality, data governance, and system performance.

Required Technical SkillsArtificial Intelligence

Large Language Models (LLMs)

Retrieval-Augmented Generation (RAG)

Prompt Engineering

AI Orchestration

Embeddings

Vector Search

Experience with one or more:

Google Gemini

OpenAI

Anthropic Claude

Llama

Qwen

Mistral

Databases

PostgreSQL / Mongo DB

SQL

JSONB

Database Design

Performance Tuning

Indexing

Partitioning

Replication

Enterprise Search

OpenSearch

Elasticsearch

Hybrid Search

Semantic Search

Search Relevance

Index Optimization

Programming

Python

SQL

REST APIs

FastAPI (Preferred)

Working knowledge of Java or Node.js will be an advantage.

Data & Analytics

ETL / ELT

Data Pipelines

Business Intelligence

Data Modelling

Metadata Management

Reporting

Cloud & Engineering

Docker

Kubernetes (Working Knowledge)

Linux

Git

CI/CD

Preferred Skills

LangChain

LangGraph

LlamaIndex

pgvector

Pinecone

Weaviate

ChromaDB

Apache Kafka

Redis

Apache Airflow

OCR Technologies

Document AI

Multi-tenant SaaS Architecture

ERPNext / Frappe (Good to Have)

Required Experience

7–10 years of experience in AI Engineering, Data Engineering, Backend Engineering, or Enterprise Analytics.

Strong expertise in PostgreSQL / Mongo DB and enterprise database design.

Experience building AI-powered applications using LLMs.

Hands-on experience with OpenSearch or Elasticsearch.

Experience designing scalable enterprise data platforms.

Strong understanding of cloud-native application architecture and distributed systems.

Who Should Apply

We're looking for engineers who:

Enjoy solving complex enterprise problems using AI.

Have strong backend and data engineering fundamentals.

Can build production-ready AI solutions rather than research prototypes.

Take ownership from architecture through deployment.

Enjoy mentoring teams and influencing engineering direction.

Thrive in fast-paced product environments.

Why Join Business Sarthi?

Join the founding engineering leadership team.

Build India's first AI-powered Business Operating System.

Design the intelligence engine powering enterprise decision-making.

Work directly with experienced founders.

Influence product architecture, AI strategy, and technical roadmap.

Build technology that creates measurable business impact at scale.

Salary & Benefits

CTC: As per Industry best practices & standards

Additional Benefits:

Annual Performance Bonus

Flexible Hybrid Work Model

Learning & Certification Sponsorship

Premium Development assets and environment

Opportunity to build and lead the AI, Data, and Analytics engineering function

Preferred Candidate Profile

Notice Period: Immediate to 60 days preferred

Location: Delhi NCR preferred (or willing to relocate to Gurugram)

Education: B.E./B.Tech/M.Tech in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field

Pay: ₹2,100,000.00 - ₹3,200,000.00 per year

Benefits:

Flexible schedule

Health insurance

Paid sick time

Paid time off

Provident Fund

Work from home

Application Question(s):

Please share your current CTC, Salary Expectations along with notice period

Work Location: Hybrid remote in Gurgaon, Haryana