Full Stack Engineer

We’re building an AI evaluation platform that’s becoming indispensable for AI teams. As a Full Stack Developer, you’ll craft intuitive, high-performance user experiences and maintain the robust backend services that power them. You’ll work with React 19, TypeScript, and Tailwind on the frontend, while leveraging Python, modern frameworks, and the LLM API’s on the backend to deliver cutting-edge features. You’ll help shape our architecture end to end, solving complex UI, integration, and data challenges with independence and creativity. Your work will ensure the platform is fast, accessible, scalable, and AI- powered from client to server.This role is ideal for someone who thrives in fast-paced environments, can think beyond implementation details, and is eager to grow while working across the stack. You’ll collaborate closely with product and design to deliver elegant solutions, working with tools such as:Frontend: React 19, TypeScript, Tailwind CSS, modern state management, and data visualization frameworks.Backend: Python, FastAPI services development, Postgres, data management, AI pipeline and API integrationIf you’re passionate about building end-to-end systems that deliver real-world business value for AI teams and you take pride in shipping high-quality code quickly, we’d love to hear from you.Role Overview-We're seeking an Python Full Stack Developer with strong Python and Open AI API integration skills to join our team. In this role, you'll be responsible for maintaining and enhancing our product’s backend services, AI capabilities, and data management systems.Key Responsibilities-Maintain and expand iterative evaluation pipelines for ML analyses Enhance LLM integrations (Open AI, Anthropic, Google, etc) with error handling, consumption management, and retry logic-Optimize/extend PostgreSQL schemas and implement efficient data integration patterns-Maintain and extend FastAPI services code to support new product features-Implement and optimize LLM API usage metering and billing systems-Ability to build, deploy secure, and highly available cloud-native applications-Document key technical decisions and system detailsRequired Qualifications-Bachelor's degree in Computer Science Engineering, Statistics, or a quantitative field-4 years of experience in full stack product development with React frontend and Python backend-Strong knowledge of FastAPI & related frameworks-Proficiency in modern frontend development with React (Vite, TypeScript, Tailwind CSS)-Experience integrating AI services (Open AI or similar LLMs), & Google AI Cloud-Solid experience of RESTful API design principles and implementation-Strong PostgreSQL, Psycopg2, DB async and data modelling skills-Cloud deployment experience (AWS, Heroku or equivalent)-Adept at using vibe coding tools while owning code quality and validating functional outcomes-Experience with CI/CD pipelines for code build automation-Strong problem-solving skills and attention to detail-A quick learner and self-starter who can operate with minimal supervisionBonus Qualifications-Master's degree in Computer Science Engineering, Statistics, or related quantitative field-Experience building AI/ML pipeline orchestration systems-Background in quantitative analysis, with the ability to perform and interpret uncertainty quantification-Experience building multi-tenant SaaS systems with modern permission models-Familiarity with multiple LLM providers, generative AI capabilities and prompt engineeringWhat We Offer-Career Edge in AI: Contribute to an AI evaluation platform, mastering modern architecture while gaining evaluation-expertise that top industry leaders consider essential.-Remote-friendly setup, with day-to-day work managed directly by the company and payroll/compliance handled by an Employer of Record (EOR)-Competitive compensation with bi-annual performance bonuses and annual milestone-based incentives-Group medical insurance and statutory benefits included in your package-Company-funded access to leading learning platforms-Employment will be structured through a trusted Employer of Record (EOR) to manage payroll, benefits, and compliance