Fullstack Engineer

Doctutorials Edutech Pvt Ltd; Hyderabad; On-site; INR 1,500,000 - 2,400,000; Full time

Job summary

Doctutorials Edutech Pvt Ltd in Hyderabad seeks a versatile Full Stack Product Engineer to design scalable backend services using Python/FastAPI, and craft responsive frontend with React/Next.js. You will lead AI-enabled development across data and AI integrations, owning features from design to production and mentoring junior engineers.

Collaborating with Product, QA, DevOps, Design and Academic teams, you will ensure security, reliability and thorough test coverage while driving maintainable

Qualifications

• Design and deliver scalable backend services and APIs.
• Build responsive web experiences with React/Next.js.
• Experience with Python and FastAPI.
• Lead feature delivery from design to production.
• Mentor engineers and conduct code reviews.
• Ensure security, reliability and test coverage.

Responsibilities

• Full stack product engineering across backend, frontend, data, and AI integrations.
• Integrate AI capabilities with secure service boundaries.
• Collaborate with Product, QA, DevOps, Design and Academic teams.

Skills

Python

FastAPI

React

Next.js

APIs

Databases

Caching

Asynchronous processing

Code review

Mentoring

Tools

Semantic search tooling

Performance monitoring

Job description

Role & responsibilities

Primary objective: Design and deliver secure, scalable and maintainable DocTutorials product capabilities across backend, frontend, data and AI integrations.

1. Full Stack Product Engineering

• Design and build backend services and APIs using Python and FastAPI.
• Build responsive, accessible web experiences using React and Next.js.
• Design reliable database models, integrations, caching and asynchronous processing.
• Own feature delivery from technical design through deployment and production validation.

2. AI-enabled Development

• Integrate LLM, RAG, semantic-search and agentic capabilities through secure service boundaries.
• Build retrieval, prompt, evaluation and source-traceability flows with AI engineers.
• Review AI-generated code and ensure correctness, security, maintainability and test coverage.
• Use AI-assisted engineering tools responsibly to improve speed and quality.

3. Engineering Quality and Leadership

• Apply architecture, coding, API, security and observability standards.
• Conduct code and design reviews and mentor junior engineers.
• Diagnose production defects, performance bottlenecks and integration failures.
• Collaborate with Product, QA, DevOps, Design and Academic teams.