AI Backend Engineer - Python/SQL

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Description :

What Youll Do

- Build and Deploy AI-Powered Features

- Develop and train machine learning models tailored to finance use cases (e.g., forecasting, anomaly detection, recommendation engines).

- Experiment with LLMs and other generative AI APIs to enhance user experience and automate workflows.

- Contribute to the full lifecycle of modelsfrom ideation and prototyping to deployment and monitoring.

Work Across a Modern AI Tech Stack :

- Core : Python

- Data : SQL, PostgreSQL, ETL pipelines

- Tools : OpenAI APIs, Anthropic APIs, Weights & Biases, Hugging Face

- Collaborate with backend engineers to integrate AI features into our Node.js-based platform.

- Learn and Grow with the Team

- Work closely with our AI and product teams to scope meaningful experiments.

- Review data quality, build pipelines, and learn to apply AI responsibly in production settings.

- Learn best practices in MLOps, model evaluation, and performance tracking.

- Collaborate Beyond the Model

- Partner with engineers, designers, and fractional CFOs to translate business needs into intelligent systems.

- Discuss UX behavior that results from AI decisions and outputs.

- Support the documentation of AI features and decision paths for transparency and maintainability.

- Help Keep AI Reliable and Accountable

- Monitor deployed models and retrain or tune them as data evolves.

- Set up testing, fallback logic, and explainability frameworks where needed.

- Track model drift and validate predictions against live business data.

What Youll Bring :

- 3-5 years of hands-on experience building or deploying AI/ML systems.

- Strong proficiency in Python, with a good grasp of data structures, modeling techniques, and APIs.

- Basic backend development knowledge (e.g., REST APIs, data integrations, working with Node.js services).

- Experience working with structured datasets, feature engineering, and basic model evaluation.

- Curiosity about financial systems and how AI can enhance decision-making.

- A collaborative mindset you ask great questions, seek feedback, and love learning from others.

- A high sense of ownership when taking on a task, autonomous working with minimal oversight.

Bonus : familiarity with LLMs, vector databases, financial forecasting models, or time-series data.