AI Engineer Intern
Treva
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- ReactNext.jsREST APIsLLMsSQLSystem design
- Nice to have
- JavaScriptGraphQLPythonNode.js
- Work
- On-site in Bengaluru · internship
- Pay
- Not stated by the employer.
- Skill demand
- LLMs78%REST APIs65%React16%Next.js2%of 100 similar fresher jobs posted in India this week
- Listed
- 27 Oct 2026 · still open
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About the Role
Build AI-enabled web applications and SaaS features at Treva. We are looking for a hands-on builder who enjoys learning, writing code, and turning ideas into working products. Demonstrate your fundamentals through personal projects, coursework, or internships; extensive professional experience is not required.
Key Responsibilities
- Build responsive, high-performance web apps using React and Next.js.
- Develop robust backend APIs and services and integrate AI/LLM APIs into product features.
- Prototype AI workflows and evaluate outputs, reliability, latency, and cost with team guidance.
- Model, query, and optimize SQL databases.
- Contribute to system design decisions and architecture discussions.
- Write clean, tested, maintainable code and review teammates' work.
- Debug production issues and improve performance and reliability.
- Collaborate with product and design to turn ideas into features.
Requirements & Tech Stack
Frontend
- React: hooks, state management, and component design.
- Next.js: SSR, SSG, routing, API routes, and performance optimization.
- Solid JavaScript/TypeScript, HTML, and CSS.
Backend
- Building and consuming REST APIs; GraphQL is a plus.
- SQL: schema design, joins, indexing, and query optimization.
- Authentication, authorization, and API security fundamentals.
- Good grasp of data structures and algorithms.
- Understanding of caching, queues, background jobs, and rate limiting.
System Design and AI
- Ability to explain design choices for scalable, reliable systems.
- Foundational knowledge of databases, load balancing, distributed-system trade-offs, and failure handling.
- Familiarity with LLM APIs, prompting, structured outputs, and evaluating responses through a project or prototype.
- Ability to verify AI-generated code and explain and debug your implementation.
Good to Have
- Node.js, Python, or Go.
- RAG, embeddings, or vector databases.
- Redis, message queues, or microservices.
- AWS/GCP and Docker.
- CI/CD and automated testing.
- Multi-tenant or SaaS product experience.
Qualifications
Apply if you are eager to learn, take ownership, and act on feedback. Share your GitHub, portfolio, or relevant projects and describe your contribution.
Internship terms: The stipend is fixed at ₹15,000 per month. This is an on-site internship in Bengaluru with a six-day working week. Please apply only if these terms work for you. Please list the AI and development tools you use and briefly explain how you have used them in a real project.