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 up-to-date 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

- 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.
- Hands-on experience with OpenSearch or Elasticsearch.
- Experience designing scalable enterprise data platforms.

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

📌 Lead Ai, Data & Analytics Engineer (Founding Engineering Team) (Gurugram)
🏢 Business Sarthi Technologies
📍 Gurugram