Intain is re-engineering structured finance with IntainAI & Ida (https://medium.com/intain ). We need an engineer who can ship production code and work across the AI model and tool spectrum —from classic ML models and transformers (BERT) to GenAI (LLM-powered RAG, prompt-engineering, fine-tuning). What you’ll do Build & tune models: embeddings, transformers, retrieval pipelines, evaluation frameworks. Architect Python services (FastAPI/Flask) that embed ML/LLM workflows end-to-end. Translate AI research into production features for data extraction, document reasoning, and risk analytics. Own the full user flow: back-end → front-end (React/TS) → CI/CD on Azure & Docker. Leverage AI coding tools (Copilot, Cursor, Jules) to meet our 1 dev = 4 devs productivity bar. Core stack Python · FastAPI/Flask · Pandas · SQL/NoSQL · Hugging Face · LangChain/RAG · REST/GraphQL · Azure · Docker (React.js, vector DBs, Kubernetes = bonus) You bring Track record shipping Python features and training/serving ML or LLM models. Comfort reading papers/blogs, prototyping ideas, and measuring model performance. 360° product mindset: tests, reviews, secure code, quick iterations. Bias for ownership and output; impact beats years of experience. Why Intain? Small, expert team where your code and models hit production fast. Work on real-world AI problems that power billions in structured-finance transactions. Compensation & ESOPs tied directly to the value you ship. Expertise Python - 3 years FastAPI - 2 years Flask - 2 years Pandas - 2 years REST - 2 years Azure - 2 years GraphQL - 1 years Docker - 2 years Generative AI - 2 years ML Model - 2 years Machine Learning - 2 years Artificial Intelligence - 2 years

About Intain

Intain is building Intelligent Blockchains for transparency and efficiency in capital market transactions, with initial focus on asset-backed investments. Asset-backed investment volumes (including mortgage-backed securities and other financings) have touched pre-crisis levels, but the only major change since the financial crisis is an increased compliance burden, with little in terms of transparency or improved efficiency. Between the issuance and ongoing management of these investments, anywhere between four to eight intermediaries get involved with annual costs in excess of $30B across Securitization and other financing. Intain gets lenders, issuers, investors and other parties like servicers, trustees and rating agencies on a shared-data platform for these transactions that uses artificial intelligence and certain features of blockchain for:  seamless flow of data with zero reconciliation  complete transparency with provenance of asset and data Committed to diversity in fintech, half of Intain's employees are women. All our employees work in an environment that blends a research lab and start-up and a research lab. Set-up by a team of a leading financial services executive, a securitization banker, an AI researcher, a software entrepreneur and a blockchain architect, Intain’s teams are based out of US and India.