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Lead Full Stack Engineer at Weekday AI. This role is for one of Weekday's clients. Salary range: Rs 3500000 - Rs 5000000 (ie INR 35-50 LPA). Min Experience: 6 years. Location: Remote (India). JobType: full-time. About the role. About VWO. VWO is a leading Digital Experience Optimization platform trusted by over 3,000 businesses in 100+ countries, including global brands like Samsung, Vodafone, Toyota, HBO, and Domino's. What began 15 years ago as one of the world’s first A/B testing tools has since evolved into a comprehensive, enterprise-grade platform used by product, marketing, and growth teams to experiment, personalize, analyze behavior, and build exceptional digital experiences.. Today, VWO offers a full-stack suite for A/B testing, multivariate testing, feature rollouts, heatmaps, session recordings, behavioural analytics, surveys, personalization, and more across web, mobile, and server-side applications — all in one unified platform. We enable teams to make confident, data-driven decisions that drive user engagement, retention, and conversion.. VWO is a profitable, founder-led business with $50M+ ARR, strong EBITDA margins, and a history of capital-efficient, sustainable growth. In January 2025, Everstone Capital acquired a majority stake in the company to help accelerate our global expansion — both organically and inorganically.. We are a fully remote team of 450+ people, with go-to-market teams across the Americas, Europe, and APAC, and product and engineering anchored in India. Our culture values deep thinking, fast execution, and strong ownership — with minimal bureaucracy and high autonomy. Despite our scale, we continue to operate with the agility and ambition of a startup.. Wingify is a product-led tech company on a mission to build intelligent, performance-driven solutions at the forefront of digital experience and AI innovation. We believe in ownership over execution, curiosity over credentials, and building systems that push boundaries in how software interacts with intelligence.. We're looking for a . Lead Full Stack Engineer. who thrives at the intersection of end-to-end engineering and GenAI innovation. If you’re passionate about building both systems and products that harness AI meaningfully—this is the role for you.. What You’ll Do. . . Architect, design, and deliver. scalable full-stack features and systems end-to-end—across backend services, APIs, and frontend interfaces.. . Build . AI-integrated systems. (e.g., NLP automation, GenAI assistants, recommendation engines) using LLMs and GenAI APIs in production environments.. . . Mentor and lead. a high-performance team of engineers, establishing best practices in architecture, testing, and DevOps.. . Own . performance, maintainability, and scalability. across your projects and ensure long-term code health.. . . Collaborate cross-functionally. with Product, Design, and Data teams to align on product direction and technical strategy.. . Stay . hands-on with code. , lead architectural decisions, and contribute to critical reviews and deployments.. . . Must-Have Skills. . 6–10 years of experience in full-stack development roles with a product-focused mindset.. . Strong proficiency in . two or more backend languages. : PHP, Node.js, Golang, Python, Java.. . Expert in . JavaScript/TypeScript. with deep knowledge of modern frameworks—. React. or . Angular. preferred.. . Demonstrated experience . integrating GenAI APIs. (OpenAI, Langflow, custom GPT agents) in real-world applications.. . Strong understanding of . software architecture. , . system design. , and . microservices. .. . Solid DevOps exposure: . Docker. , . Kubernetes. , . CI/CD pipelines. (e.g., Jenkins).. . Proficient in . SQL and NoSQL. databases.. . In-depth knowledge of . browser internals. , rendering optimization, and frontend performance strategies.. . Experience with . TDD. , code quality enforcement, and unit test coverage.. . . Bonus Points. . Led a team through an . AI-first product transformation. .. . Contributed to . open-source AI/ML tools. or active in AI/engineering communities.. . Experience with . Langflow. , . vector databases. (e.g., Pinecone, Weaviate), or . custom GPT integrations. .. . . Why Join Us. . Build software . that blends product and intelligence. .. . Work in a culture where . engineers shape product direction. .. . Experiment with bleeding-edge . AI and GenAI tech. .. . Join a team that . prioritizes impact, autonomy, and growth. .. . Company Location: India.