Kaaj is an AI Fintech startup, headquartered in San Francisco. This position is open for remote work in India. Our vision is to help every business get quick access to affordable capital.
We help financial institutions turbocharge their lending processes by building AI agents that help them write more loans to small businesses. Our founding team brings over a decade of experience from Uber, Cruise, American Express, and other Silicon Valley startups. We are venture-backed by Kindred Ventures (investors behind Uber & Perplexity) and Better Tomorrow Ventures (investors behind Unit & Mercury). We are looking for a stellar Founding Full-Stack Engineer with a hunger to learn to join our team. Our product is live and we are rapidly growing with our early customers.
🌈 Role Overview
As a founding member of our engineering team, you will lead the charge in ensuring the product's reliability and scalability using our Python and ReactJS codebase. You will have the opportunity to build, evaluate, and ship products that use proprietary and open source LLMs. You will own challenging technical problems and help build the future of AI. This is a remote role based out of India.
⚡ Responsibilities
Develop Python services, APIs, and webhook functionality to enable agent management, orchestration, benchmarking, and integrations with third parties
Own the architecture and development of customer's interface with AI agents
Build internal tools to evaluate agents and enable automated judgment
Incorporate enterprise-grade security and reliability into our backend platform
Build integration and product infrastructure for LLMs for AI Agents
Build a cohesive product experience
📌 Requirements
3+ years of experience
Expert knowledge of Python, React.js, microservices, and API design
Extensive experience writing production-level code
Comfortable working in a fast-paced early-stage startup environment
Strong communication and collaboration skills
Bonus points if you have prior experience in Fintech or AI
🔑 Benefits
Competitive salary
Fast-paced learning environment
Opportunity to shape the product and culture of a fast-growing startup
