AI-Native Full Stack Engineer
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Senior · 6+ years exp
Overview
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Zensar Technologies is an Indian technology services company founded in 1991 and part of the RPG Group, providing digital engineering, application services and infrastructure management to clients in banking, insurance, retail, manufacturing and healthcare. Its work covers experience design, cloud and data engineering, application development and maintenance, and increasingly applied artificial intelligence, delivered from centres in India, South Africa, Europe and the United States. Headquartered in Pune and listed in India, it earns a large share of revenue from North America and has been repositioning toward higher-value engineering work.
AI-Native Full Stack Engineer
Role Title: AI-Native Full Stack Engineer
Stack: MERN or Python Full Stack
Experience: 6-8 years
Role Summary
We are looking for an AI-native Full Stack Engineer who can build production-quality applications using MERN or Python full stack technologies and effectively use AI engineering tools to improve development speed, quality, testing, and documentation.
Key Responsibilities
- Build frontend, backend, APIs, data access, and integrations.
- Work with React/Next.js and either Node.js or Python backend services.
- Use any suitable database based on project needs.
- Use Claude, Copilot, Codex, Cursor, or similar tools for planning, coding, debugging, testing, refactoring, and documentation.
- Follow AGENTS.md, coding standards, prompts, skills, hooks, and AI-assisted development workflows.
- Write unit tests, integration tests, API tests, and basic UI tests.
- Participate in code reviews and validate AI-generated code.
- Support deployment, troubleshooting, logging, monitoring, and configuration.
- Apply basic LLM and prompt engineering concepts where required.
Required Skills
- Strong JavaScript/TypeScript or Python programming skills.
- Experience with React or Next.js.
- Backend experience with Node.js, Express/NestJS, FastAPI,, or Flask.
- Experience with any database: PostgreSQL, MySQL, MongoDB, SQL Server, Oracle, Redis, or similar.
- Good understanding of REST APIs, authentication, authorization, validation, and error handling.
- Experience with Git, pull requests, testing, debugging, and CI/CD basics.
- Basic cloud exposure in AWS, Azure, or GCP.
- Practical usage of AI coding tools such as Claude, Copilot, Codex, Cursor, or similar.
- Basic understanding of LLMs, prompts, RAG, embeddings, and AI application patterns.
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