Senior Backend / AI Systems Engineer, Automated Equity Research (Remote)

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 opportunity for engineers who want to build serious, defensible financial infrastructure.