Senior Fullstack Engineer

We are looking for a Full Stack Developer to join the AI Hub engineering team in Bengaluru. You will work across the stack to build scalable, high-quality features that empower ML practitioners to develop, manage, and monitor AI applications on eBay's platform. This is a high-impact role with direct access to platform users across the company. Your work will directly build how researchers and engineers experience the AI Platform every day.

Responsibilities:

• Own the end-to-end delivery of full-stack features on the AI Hub portal, building responsive TypeScript/React UIs and Node.js backend services that surface the ML lifecycle to platform users.
• Design, build, and maintain Java-based REST APIs, and actively contribute to core AI Platform services including the Experiment Management System (EMS), Model Management System (MMS), and AI Metadata Service.
• Build and maintain production observability dashboards using Prometheus and Grafana, giving ML practitioners real-time visibility into their workloads, experiments, and model deployments.
• Design and operate CI/CD pipelines using Argo CD and GitOps-based tooling to streamline platform deployments and improve release reliability.
• Collaborate directly with ML researchers, Applied Scientists, and infrastructure engineers to identify developer pain points and translate them into platform improvements that accelerate AI development velocity.
• Drive engineering throughput by embedding AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) into daily workflows, setting the standard for how the team writes, reviews, and ships code.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with 5+ years of software engineering experience building production systems.
• Strong proficiency in TypeScript and React for building performant, developer-facing web applications; comfortable owning the full frontend stack.
• 3+ years of backend development experience with strong proficiency in Java for building scalable REST APIs; working knowledge of Node.js or Python is a plus.
• Solid foundation in data structures, algorithms, system design, and distributed systems fundamentals.
• Hands-on experience with observability and CI/CD tooling such as Prometheus, Grafana, Argo CD, or equivalent GitOps-based pipelines.
• Demonstrated use of AI-assisted development tools (e. g., Claude Code, Cursor, GitHub Copilot, Windsurf) to improve coding efficiency and output quality.

Nice to Have:

• Experience with MLOps platforms such as MLflow, Weights & Biases, or equivalent experiment and model lifecycle tooling.
• Familiarity with Kubernetes and containerised environments (Docker, Helm).
• Prior experience building developer-facing internal platforms, portals, or SDKs.
• Exposure to the machine learning lifecycle including model training, experiment tracking, inference serving, or LLM deployment.