Job Description

We are building an institutional-grade, fully automated equity research and decision-support system for Indian equities (NSE/BSE).

This is a backend-first, audit-grade system designed to function like an automated Investment Committee.

This is NOT:

- A trading bot
- A dashboard project
- A scraping tool
- A basic ML demo

It is a production-grade automation platform with strict data integrity and governance.

Core Responsibilities

- Design and implement automated ingestion of official NSE/BSE filings and authorized data sources
- Build PDF download, hashing (SHA256), deduplication, and versioning pipelines
- Implement deterministic BUY / HOLD / SELL rule engines in Python
- Enforce evidence validation before any AI/LLM processing
- Build audit logs, provenance tracking, and replayable pipelines
- Develop fault-tolerant scheduling, retries, and monitoring
- Ensure zero manual data handling

Technical Stack

- Python (primary)
- PostgreSQL




- REST / Authorized APIs
- Automated schedulers
- LLM parsing tools (e.g., LlamaParse or equivalent)
- Cloud deployment (AWS/GCP preferred)

Requirements

- 6+ years of backend / systems engineering experience
- Strong experience in building automated data pipelines
- Experience with financial / regulatory / compliance systems preferred
- Proven ability to deliver production-grade systems
- Comfortable working independently or leading a small team

Evaluation Process

Shortlisted candidates will be required to complete a paid Proof-of-Concept phase before long-term engagement.

This is a long-term prospect for engineers who want to build serious, defensible financial infrastructure.

Skills:- Python Backend Development Data Engineering API In

📌 Senior Backend / AI Systems Engineer, Automated Equity Research (India)
🏢 Lotus1
📍 India