Artificial Intelligence Engineer

Description :

"AI Engineer"

- Remote

We're looking for an AI Engineer to help us push the boundaries of whats possible in financial automation and intelligence.

What Youll Do :

1. 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.

2. 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.

3. 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.

4. 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.

5. Help Keep AI Reliable and Accountable :

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

- Set up testing, fallback logic, and explain ability 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 mindsetyou 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.

Why Join Kudwa :

- Mission with Impact Help millions of SMEs gain finance superpowers through automation and intelligence.

- Fast Learning Curve Youll work directly with experienced data scientists, engineers, and finance experts.

- End-to-End Ownership Your models will make decisions that impact real businesses.

- Flexible Setup Remote-first, with in-person hubs in Beirut and San Francisco.

- Career Acceleration You'll gain MLOps experience, deploy real features, and build toward senior roles.

Bonus Points (Nice to Have) :

- Advanced backend development (e.g., scalable microservices, architecture, GraphQL, performance optimization).

- Familiarity with financial reporting concepts (e.g., P&L, balance sheets, cash flow).

- Experience using OpenAI, Anthropic, or Retrieval-Augmented Generation (RAG) workflows.

- Exposure to tools like FastAPI, Docker, or cloud ML services (AWS/GCP/Azure).