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
