Product Engineer (AI-Native)

Overview

• You will experience what it is like to work in a fun, entrepreneurial, and high-growth startup where technical ability is a baseline, but Product Taste and AI Fluency are our primary filters.
• As a Product Engineer, you will:
• Act as a technical product manager, evaluating features based on user value and scalability rather than just "completing a ticket."
• Drive the full-stack development of features using Python/Django for backends and React/React Native for frontends, utilizing AI agents
• (Claude, Codex, etc.)
• to handle the bulk of code generation.
• Architect scalable APIs using Django REST Framework and Node.js, focusing on high-level security patterns (XSS, SQL injection prevention) and system integrity.
• Manage complex asynchronous flows, message queues (RabbitMQ, Kafka), and webhooks to ensure seamless data movement.
• Move from product concept to deployed feature in record time by integrating AI workflows into our CI/CD pipelines.
• Own the reliability of your features by implementing automated tests and monitoring key metrics to detect bottlenecks and ensure quality and observability.
• You ll experience what it is like to work in a fun, entrepreneurial, and high growth startup!
• Technical ability is a baseline, but Product Taste and AI Fluency are our primary filters.
• We want engineers who are bored by manual boilerplate and excited by agentic workflows.
• You must be actively building with AI agents (e.g., Claude, Cursor, etc) and are excited by agentic workflows rather than manual boilerplate.
• Deep expertise in Python and Django, paired with the ability to build reusable, scalable UI components in React and React Native.
• The ability to design, audit, and refine AI-generated code for security, correctness, and performance.
• Strong understanding of PostgreSQL/MySQL, asynchronous programming, and cloud infrastructure.
• Solid experience in authentication, authorization, rate limiting, and integrating third-party tools via APIs or SDKs.
• Strong grasp of software engineering fundamentals, design patterns, and CI/CD version control workflows.
• Experience building reusable plugins, extensions, or modular systems.
• Nice to have
• Experience with Go for performance-critical services.
• Experience with containerization (Docker, Kubernetes) to support AI-driven deployments.
• Background in building or fine-tuning LLM-based features.
• Experience in the

Fintech