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Artificial Intelligence Engineer

Artificial Intelligence Engineer

questhiringIndia
12 days ago
Job description

AI Engineer

Remote

AI Financial Manager for SMEs. We help businesses cut through messy spreadsheets and scattered tools to get instant insights that save 7 days of work, speed up decision-making by 90%, and boost profitability.

Were on a mission to give 300 million + businesses access to financial clarity that was previously only available to big enterprises.

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

  • 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).
  • (ref : hirist.tech)

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