AI Fullstack Senior Software Engineer (MERN Stack)

We are looking for an AI Fullstack Senior Software Engineer with strong MERN stack expertise and a passion for building modern, intelligent, scalable web applications. You will be part of a high-impact engineering team, contributing to customer-facing products and internal platforms while embedding AI-first development practices into day-to-day engineering. This role is execution focused: you will lead the design and delivery of high-quality fullstack solutions across frontend, backend, APIs, and cloud-integrated workflows, while helping shape technical direction and engineering standards.

Responsibilities

Lead the design, development, and delivery of complex fullstack web applications using MongoDB, Express.js, React, and Node.js; Build responsive, performant, and reusable frontend components using React, modern JavaScript/TypeScript, HTML, and CSS; Develop scalable backend services, REST APIs, and microservices using Node.js and Express; Design and optimize data models, queries, and integrations using MongoDB and related persistence patterns; Own technical solutions end-to-end, from architecture and development to testing, deployment, observability, and post-release improvements; Operate as an end-to-end engineer who can independently drive complex feature development, unit testing, debugging, functional validation, and production readiness; Apply AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, and similar platforms to accelerate coding, debugging, documentation, test creation, and root-cause analysis; Drive AI-first practices within the team by identifying repeatable workflows where AI can improve developer efficiency, speed, quality, and maintainability; Integrate AI-powered capabilities into products where relevant, including LLM-based workflows, intelligent assistants, recommendations, automation, or developer tooling; Write and maintain strong unit, integration, and end-to-end test coverage using modern testing frameworks across frontend and backend stacks; Build and improve CI/CD pipelines using GitHub Actions, Jenkins, TeamCity, or equivalent tooling to enable reliable builds and releases; Monitor application health, reliability, and performance using logs, dashboards, tracing, and alerting tools, and proactively drive improvements; Partner closely with Product, Design, Data, Security, and platform teams to deliver cohesive and high-quality customer experiences; Participate in code reviews, design reviews, and technical discussions, while mentoring junior engineers and helping raise engineering standards; Help define and promote best practices for architecture, clean code, security, performance, scalability, and developer productivity

Requirements

6+ years of hands-on experience in fullstack web development; Strong proficiency in JavaScript or TypeScript across both frontend and backend development; Proven experience building production-grade applications using the MERN stack: MongoDB, Express.js, React, and Node.js; Strong experience building modern frontend applications with React, state management patterns, component design, and API integration; Proven ability to independently drive complex features and make sound technical decisions; Solid experience in backend development with Node.js, API design, authentication, authorization, and service integration; Good understanding of database design, schema modeling, indexing, and performance optimization in MongoDB; Experience with AI-assisted development tools and a practical mindset for using them to improve engineering outcomes; Strong understanding of software design patterns, modular architecture, and scalable distributed system principles; Experience with unit testing, integration testing, and end-to-end testing frameworks such as Jest, React Testing Library, Cypress, or Playwright; Experience with CI/CD automation, version control systems such as GitHub, and modern engineering workflows; Strong debugging, performance tuning, and problem-solving skills across frontend and backend systems; Strong communication, ownership, and collaboration skills in cross-functional teams; Proven ability to work independently and manage multiple priorities in a fast-paced engineering environment

Nice to have

Experience with other modern JavaScript frameworks and ecosystems such as Angular, Vue.js, Next.js, or similar; Experience building or integrating AI-enabled product capabilities, such as LLM-based features, prompt workflows, embeddings, semantic search, or automation services; Familiarity with cloud platforms, containerization, and deployment environments; Exposure to observability, experimentation, feature flags, and modern release strategies; Experience mentoring engineers and influencing technical direction beyond individual feature ownership

Benefits

Flexible working options; time off; competitive pay; benefits and well-being programs; Work in an AI-first engineering environment; Own meaningful technical problems end-to-end across design, development, test, release, and monitoring; Contribute to high-impact initiatives with visible customer and business outcomes; Grow in a modern engineering ecosystem spanning AI, automation, cloud, and scalable web platforms; Be part of a collaborative hybrid culture that values both speed and flexibility