Full Stack Engineer

PhysicsWallah · Bengaluru

  • Experience2–4 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelmid
  • Posted3 Sept 2026
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About PhysicsWallah

PhysicsWallah is hiring in Bengaluru in education. This role looks for around 2+ years of experience.

Skills

  • React.js
  • Next.js
  • TypeScript
  • Node.js
  • Python
  • MongoDB
  • PostgreSQL
  • API development
  • Authentication
  • System design
  • Scalable architectures
  • AI-powered products
  • Large language models
  • AI-assisted development tools

The role

A full stack engineer at an AI-powered workflow platform builds onboarding and quality-review systems, develops React.js and Next.js applications, and integrates large language model features. The role also delivers Node.js backend services and scalable databases for authentication, orchestration, and audit workflows.

Full job description

We are hiring strong Full Stack Engineers to build our core platform. You will work on systems powering expert onboarding, workflow management, annotation, quality review, reporting, and AI-assisted operations. This is a high-ownership role for engineers who enjoy building products from scratch, shipping fast, and working closely with product and business teams.

Responsibilities:

Build and scale onboarding, qualification, task allocation, and review workflows.

Develop modern web applications and internal platforms.

Create dashboards for quality, productivity, project tracking, and reporting.

Build backend services for authentication, permissions, workflow orchestration, and audit logging.

Integrate AI-powered features and automation into core workflows.

Own features end-to-end from design to deployment.

Requirements:

Tech Stack: React + Next, Node, MongoDB, PostgreSQL, AI tools.

2-4 years of software engineering experience.

Strong proficiency in React.js, Next.js, TypeScript (Frontend), and Node.js (Python experience is also acceptable) (Backend).

Experience building and consuming APIs.

Strong understanding of databases, authentication, system design, and scalable architectures.

Ability to write clean, maintainable, production-grade code.

High ownership and problem-solving mindset.

AI Experience (Required):

Hands-on experience building AI-powered products/features or working with LLMs.

Regular use of AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, Windsurf, etc.

Ability to accelerate development cycles using AI while maintaining engineering quality.

Preferred Experience:

Workflow tools, internal platforms, marketplaces, dashboards, or B2B SaaS products.

Annotation platforms, AI evaluation systems, RLHF/SFT pipelines, or human-in-the-loop workflows.

Exposure to multimodal AI systems (text, code, audio, video).