Founding AI Engineer (Generative) - India
Architect LLM-powered signal engines and hybrid ML that turn market data into vetted trade ideas. Capable of fast prototyping, back-testing rigorously, and shipping responsibly.
Equity Only | Pre-Seed Stage Startup | India (Preferred, Remote-Friendly)
About Us
We are building a next-generation AI-driven trading platform that helps everyday investors discover trade ideas from massive datasets and proprietary signals. Our mission is to combine Generative AI with proven quantitative methods to democratize access to sophisticated trading strategies once reserved for hedge funds.
This is an opportunity to join as a founding engineer and shape both the technology and the company from day one.
The Role
As our Founding Generative AI Engineer, you will architect and implement AI models that can identify and refine trade ideas across equities, options, and macroeconomic datasets. You’ll bridge the worlds of Generative AI and traditional ML, knowing when to apply each, and ensure models are practical, robust, and ready for live trading.
This is a hands-on role where you’ll design algorithms, experiment with large language models (LLMs) and reinforcement learning agents, and integrate them into a cloud-native architecture.
What You’ll Do
AI Model Development:
Build, fine-tune, and evaluate Generative AI models for extracting patterns, signals, and strategies from structured and unstructured financial data.
Apply LLMs, embeddings, and hybrid ML approaches to generate and validate ideas.
Use reinforcement learning and anomaly detection to refine strategy and manage risk.
Data Science & Engineering:
Work with large-scale financial datasets (historical, real-time, sentiment, alternative).
Design feature engineering pipelines to capture options Greeks, volatility, order flow, and macro signals.
Ensure data quality, preprocessing, and bias control.
Integration & Backtesting:
Build prototypes and connect models into a Python-first research environment.
Backtest strategies under realistic market conditions (slippage, costs, regime changes).
Iterate rapidly with continuous learning and feedback loops.
Entrepreneurial Contribution:
Collaborate directly with the founder to shape technical vision and strategy.
Operate with autonomy and ownership in a pre-funding, equity-only environment.
Set the foundation for future AI and data science hires.
What We’re Looking For
10+ years of experience in data science, ML, or AI engineering, with strong expertise in Python.
Demonstrated ability to design and deploy AI/ML models end-to-end (data ingestion, training, validation, deployment).
Hands-on knowledge in Generative AI (LLMs, embeddings, prompt engineering, fine-tuning, LangChain, vector databases, etc.).
Strong background in machine learning for time series, reinforcement learning, or NLP applied to finance.
Exposure to financial markets and trading systems (equities, options, or quantitative finance) is a big plus.
Comfortable in an early-stage startup environment: hands-on, experimental, fast-paced.
Bonus: Experience with Azure ML, Databricks, Event Hubs, Cosmos DB, or other cloud-native ML pipelines.
Why Join Us
Be a founding team member building a game-changing AI-first trading platform.
Work at the frontier of Generative AI + Finance, with the freedom to experiment and innovate.
Full equity-based compensation at pre-angel stage – a high-risk, high-reward journey.
Direct impact: your work will shape the core IP and product foundation.