Senior FullStack Engineer

FlexAI; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

An innovative tech company in Bangalore is seeking a FullStack Engineer to develop features for their PaaS platform. The role requires strong proficiency with React and Python for both frontend and backend development. The successful candidate will build full-stack features, optimize performance, and ensure production readiness. Ideal for those passionate about AI and innovation, this position offers a chance to shape impactful technology in a collaborative environment.

Qualifications

• Strong hands-on development experience with React + Python.
• Experience with modern async backend development.
• Ability to manage frontend async workflows.

Responsibilities

• Build full-stack features across Squirrel, Marketplace, and Licensing.
• Develop frontend modules using React, vite, and bun.
• Implement backend APIs and data models.

Skills

React

Python

fastapi

pydantic

sqlmodel

vite

bun

react-query

react-table

API design

Job description

Build and Deploy AI the right way, anywhere.

The FlexAI Compute Infrastructure Platform provides an "end-to-end AI compute layer" for running and managing workloads across any cloud, any GPU, and any deployment model (public, hybrid, or on-prem). It brings together "1-click simplicity" for users with "enterprise-grade orchestration, security, and automation" under the hood. Founded by Brijesh Tripathi, who brings experience from Nvidia, Apple, Tesla, Intel and Zoox, FlexAI is not just building a product – we’re shaping the future of AI. Our teams are strategically distributed across Paris, Silicon Valley, and Bangalore, united by a shared mission: to deliver more compute with less complexity. If you\'re passionate about shaping the future of artificial intelligence, driving innovation, and contributing to a sustainable and inclusive AI ecosystem, FlexAI is the place for you !

Position Overview

FlexAI is looking for a FullStack Engineer who can build end-to-end features across our PaaS platform — including frontend UI layers, backend APIs, data models, and integrations with compute and infrastructure systems. You will work on modules such as Squirrel (end user dashboard), Marketplace, and Licensing, shaping the full spectrum of the user experience and backend logic.

What You’ll Do

• Build full-stack features across Squirrel, Marketplace, and Licensing, owning both frontend and backend components.
• Develop frontend modules using React, vite, bun, chakra-ui, react-query, and react-table.
• Implement backend logic, APIs, and data models using Python, fastapi, pydantic, and sqlmodel.
• Design clean API contracts between frontend and backend components with a focus on performance and clarity.
• Build robust data flows across multi-architecture compute workflows, including job management, orchestration views, and resource interactions.
• Collaborate with SRE, runtime, and platform teams to ensure backend services integrate smoothly within FlexAI’s PaaS.
• Troubleshoot issues across the full stack — from UI inconsistencies to backend failures.
• Participate in architectural and design discussions for both client and server components.
• Ensure production readiness, reliability, and scalability of features.

What You’ll Need to Be Successful

• Strong hands-on development experience with React + Python (true React-Python fullstack capability).
• Experience with fastapi, pydantic, sqlmodel, and modern async backend development.
• Deep understanding of vite, bun, and frontend build/performance optimization.
• Ability to manage frontend async workflows using react-query and complex data tables using react-table.
• Strong API design skills and comfort working across schemas, data models, and serialization layers.
• Experience building modular services and UI-driven systems with high data throughput.
• Ability to operate independently in a high-speed environment and take full ownership of features.
• Strong communication and cross-functional collaboration skills.

Nice to Have

• Experience working with cloud APIs, compute runtimes, schedulers, or developer tooling.
• Knowledge of SRE concepts (Kubernetes, CI/CD, observability).
• Familiarity with licensing workflows or enterprise cloud marketplaces.