Quantae is hiring AI Agents Development Interns to build task-based AI agents that use tools/APIs, retrieve information and produce consistent outputs — hands-on, end-to-end agent workflows.
Disclaimer: This is a third-party opening shared for informational purposes. Cloud Soft Solutions is not the hiring employer; verify all details (eligibility, compensation, job IDs) on the official portal or with the employer before applying.
Role Overview
Location: Mumbai Metropolitan Region
Type: AI Agents Development Intern (LLM + Automation)
Experience: Freshers / students / 0–6 months
Package / Stipend: Internship (confirm stipend on the listing)
Key Highlights
- Help design and ship real agent workflows
- Work with LLMs + tools/APIs for automation and insights
- Document work (README + usage instructions)
- Hands-on end-to-end agent development
Eligibility
- Basic Python (preferred) or JavaScript/TypeScript
- Comfort with APIs/JSON/debugging; clear problem-breaking ability
- Willingness to learn fast
- Nice-to-have: Git/GitHub, simple UI (Streamlit/Next.js)
How to Apply
Email your resume + GitHub/portfolio (and 1–2 relevant projects) to mohit.ranjan@quantaeai.in. Selection: short screening, a small assignment or portfolio review, then a technical discussion.
Pro tips: tailor your resume with JD keywords (Python, LLMs, RAG, LangChain, agents), attach a GitHub/portfolio with 2–3 AI projects, and apply early — agentic-AI roles fill fast.
How to Prepare for This Role
Build a small agent project and prepare with our Agentic AI roadmap and RAG interview questions.
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Frequently Asked Questions
Who can apply for the Quantae AI Agents Development intern role?
Freshers, students and 0–6 month candidates with basic Python (or JS/TS), comfort with APIs/JSON/debugging and a willingness to learn fast. Git/GitHub and simple UI (Streamlit/Next.js) are a plus.
How do I apply to Quantae?
Email your resume plus GitHub/portfolio and 1–2 relevant projects to mohit.ranjan@quantaeai.in. Selection includes a short screening, a small assignment or portfolio review, and a technical discussion.