Staff IT Software Engineer

Overview

As a Staff Full Stack Engineer, you will be a technical leader driving the architecture, user experience, and intelligent capabilities of the product, building agentic AI solutions on Google Cloud Platform.

What you'll do

• Design, build, and scale highly available, secure backend microservices alongside modern, performance-optimized, and responsive frontends.
• Design, orchestrate, and deploy production-ready agentic workflows that leverage LLM reasoning, prompt engineering, and Retrieval-Augmented Generation (RAG) for independent decision-making and complex task execution.
• Develop core full-stack components that interface with Generative AI model deployment and real-time inference systems.
• Optimize large-scale AI interactions for performance, low latency, and high throughput.
• Establish long-term architectural patterns and tooling choices for our Java, Next.js, and Google Cloud ecosystem, preferably GCP Vertex AI or equivalent.
• Champion design standards, rigorous type safety, automated testing, and comprehensive monitoring across decoupled repositories, UI components, and AI inference pipelines.
• Ensure all full-stack applications and integrated AI systems comply with enterprise security policies, data privacy standards, and responsible AI principles.
• Lead deep technical design reviews, perform high-impact code reviews, mentor engineers, and foster a culture of engineering excellence and continuous learning.

What you'll need

• 3+ years of professional software engineering experience, with a proven track record of operating at a Staff, or Tech Lead level.
• 2+ years of hands-on experience designing, fine-tuning, and building autonomous AI agentic solutions, LLM architectures, and RAG pipelines in a production setting.
• Expert-level experience with Java and Spring Boot (or equivalent enterprise frameworks like Go or advanced Node.js) building resilient distributed systems and secure RESTful APIs.
• Experience with SQL (MySQL) and NoSQL (MongoDB, Cassandra) schema design and performance tuning.
• Deep experience building complex, production-grade web applications using React, TypeScript, Next.js, and Node.js.
• Strong understanding of SSR (Server-Side Rendering), state management, and building intuitive, responsive interfaces for data-dense AI workflows.
• Strong experience designing and deploying distributed systems on Google Cloud Platform, specifically using Google Kubernetes Engine (GKE) or Cloud Run, alongside modern CI/CD tools (Harness, Jenkins).
• A strong focus on the end-user, including handling the UI/UX challenges of Generative AI such as streaming model responses, conversational state management, and elegant fallback UI states.
• Exceptional ability to articulate complex technical, cloud, and AI concepts to both deeply technical engineers and non-technical business stakeholders.

Nice to have

• Proficiency in Python for backend development, quick AI prototyping, and data processing.
• Experience with open-source AI frameworks (LangChain, LlamaIndex).
• Google Cloud Certified Professional Cloud Architect or Professional Data Engineer.
• Familiarity with cybersecurity principles for AI applications.

Details

• Office - India - Bangalore Bagmane Tech Park.
• Most teams work from the office full time, with flexibility when needed.
• Not eligible for immigration sponsorship.