Intain Technologies - Full Stack Developer - Artificial Intelligence Machine Learning

Intain is revolutionizing structured finance with IntainAI and Ida, leveraging cutting-edge AI technologies to transform capital markets. We develop innovative AI-powered platforms for data extraction, document reasoning, and risk analytics, serving billions in transactions. Join our expert team and contribute to shaping the future of structured finance.

Role Overview

We are seeking a skilled AI/ML Engineer who can deliver production-quality code and work across the spectrum of AI modelsfrom classic machine learning and transformers like BERT to cutting-edge Generative AI approaches such as Large Language Models (LLM)-powered Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning.

Responsibilities

You will be responsible for building, tuning, and deploying AI models and end-to-end services that power intelligent features and workflows. Your work will span from backend architecture to frontend integration, continuous deployment, and cloud :

• Develop and fine-tune AI models including embeddings, transformers, retrieval pipelines, and evaluation frameworks
• Architect and implement Python-based services (FastAPI/Flask) that embed ML/LLM workflows from end-to-end
• Translate AI research into scalable production features for data extraction, document reasoning, and risk analytics
• Manage the full user flow covering backend, frontend (React/TypeScript), and CI/CD pipelines on Azure and Docker
• Utilize AI coding assistants (e.g., GitHub Copilot, Cursor, Jules) to maximize development productivity
• Collaborate closely with cross-functional teams to rapidly iterate on features and deliver high-impact solutions
• Maintain high standards for code quality, security, testing, and documentation.
  
  

• Python, FastAPI/Flask
• Pandas, SQL/NoSQL databases
• Hugging Face Transformers, LangChain, RAG frameworks
• REST and GraphQL APIs
• Azure Cloud, Docker, Kubernetes (bonus)
• React.js and TypeScript for frontend integration
• Vector databases for similarity search (bonus)
  
  

• Proven experience shipping Python features and training/serving ML or LLM models in production
• Ability to read AI research papers, prototype new ideas, and measure model performance effectively
• Strong product mindset with ownership of code quality, testing, security, and rapid iteration
• Demonstrated bias for ownership and impact-driven output
• Excellent problem-solving, communication, and collaboration skills
  
  

• Work on real-world AI challenges powering billions in structured-finance transactions
• Join a small, highly skilled team where your contributions quickly impact production
• Competitive compensation and equity options tied directly to delivered value
• Opportunity to work with state-of-the-art AI/ML models and tools in a fast-paced environment