Responsibilities

Design, develop, and maintain scalable full-stack web applications across frontend and backend systems.
Build responsive user interfaces with React and TypeScript and reusable frontend components.
Develop backend services and APIs with https://jobeax.com/link/JSd7UYCSg572jJDY and frameworks such as https://jobeax.com/link/AfY7qZRjVtazPhHg or Koa.
Design database schemas, optimize queries, and work with MongoDB and SQL databases.
Build integrations with internal, external, and third-party systems.
Implement authentication and authorization using JWT and OAuth.
Integrate LLM APIs, AI capabilities, agent-based systems, tool orchestration, and AI-powered workflows into production applications.
Write unit and integration tests, debug production issues, and improve application performance, scalability, and reliability.
Own features end-to-end from requirements and technical design through deployment and maintenance.
Collaborate with Product Managers, Designers, AI Engineers, QA, DevOps, and other developers on architecture and implementation.

Requirements

2–4 years of professional experience in full-stack software development.
Strong experience with JavaScript, TypeScript, and Node.js.
Hands-on experience with React and modern frontend development.
Experience building and consuming RESTful and/or GraphQL APIs.
Strong understanding of MongoDB and at least one SQL database such as PostgreSQL or MySQL.
Understanding of asynchronous programming, promises, async/await, and event-driven architecture.
Experience with authentication and authorization mechanisms such as JWT and OAuth.
Understanding of software development best practices, testing, debugging, version control, and collaborative Git workflows.
Ability to troubleshoot production issues, work independently, solve problems, and communicate effectively in cross-functional teams.
Preferred experience with AI/LLM integrations, AI agents, real-time systems, voice technologies, streaming, speech-to-text, text-to-speech, Redis, microservices, Docker, Kubernetes, AWS, Azure, GCP, CI/CD pipelines, SaaS or B2B products, and AI-powered development workflows.

Build products at the forefront of GenAI and Conversational AI used by international enterprises.
Gain exposure to LLMs, AI agents, automation, voice, and real-time systems.
Work with a global engineering and product team in an open, collaborative, flat-hierarchy culture.
Receive high ownership, visible impact, learning opportunities, and opportunities for growth.
Competitive compensation is offered, with no specific amount stated.