Full Stack Engineer

Accountabilities: Build and maintain production-grade features for internal AI applications and business platforms. Develop robust backend services using Python and/or Node.js, while creating clean and functional frontend experiences using modern JavaScript/TypeScript frameworks. Design, build, integrate, and consume REST and GraphQL APIs to connect internal systems and external services. Collaborate closely with engineering leadership to integrate proprietary data with LLM APIs and emerging agent-development frameworks. Write well-tested, maintainable code and ensure new functionality integrates reliably with existing systems. Deploy and support applications within modern cloud infrastructure, with a focus on availability, security, performance, and reliability. Independently pick up development tasks, manage priorities, and deliver features on time while proactively communicating blockers. Requirements Proven full-stack development experience, including building and deploying production-grade services with Python and/or Node.js. Strong experience with modern frontend technologies such as React, Vue, TypeScript, or comparable frameworks. Practical experience with cloud platforms, preferably Google Cloud Platform, including containerized deployments such as Docker and Cloud Run. Familiarity with infrastructure and deployment practices, including Infrastructure as Code tools such as Terraform. Strong experience building and consuming REST and/or GraphQL APIs and integrating third-party services. A self-directed, delivery-oriented approach, with the ability to work independently, take ownership of tasks, and seek clarification or support when needed. Genuine interest in artificial intelligence, including hands-on curiosity about LLMs and basic agentic systems; prior AI research experience is not required. Ability to work with at least 4 hours of daily overlap with UK business hours (09:00–17:00 GMT/BST) . Professional written and spoken English proficiency at CEFR C1/C2 level . Benefits Fully remote position based in India. Full-time employment opportunity. Opportunity to work on practical AI applications and modern LLM integrations. Hands-on exposure to cloud technologies, microservices, APIs, and agent-development frameworks. Close collaboration with engineering leadership in a delivery-focused environment. Opportunity to contribute directly to internal platforms designed to improve business efficiency and automation. Flexible remote working with required overlap during UK business hours. Competitive compensation and benefits package, subject to the partner company's employment terms.