Junior Agentic AI Developer Intern
Applivo.in
About Applivo
Applivo is a student-led, AI-native product startup building career automation solutions and intelligent software products. Their core platform aims to automate the job and internship application lifecycle using LLMs, browser automation, and a multi-agent orchestration engine. They also provide web development services to clients.
Website: https://applivo.in/
Role Overview
Looking for a Junior Agentic AI Developer Intern passionate about building AI agents, intelligent workflows, and practical automation systems. Will work with the engineering team to develop and improve AI-powered product features.
Key Responsibilities
- Develop and test LLM-powered agents and multi-step workflows.
- Implement tool calling, agent orchestration, and structured outputs.
- Explore MCP (Model Context Protocol) integrations and external tools.
- Build backend services and APIs using Python and FastAPI.
- Work with browser automation, task execution, and error handling.
- Evaluate LLM performance, latency, cost, and task success.
- Assist with model experimentation, evaluation, and fine-tuning where appropriate.
- Collaborate on product development, debugging, testing, and documentation.
Requirements & Tech Stack
- Strong fundamentals in Python and APIs.
- Basic understanding of LLMs, prompting, and tool calling.
- Interest in AI agents, automation, and orchestration frameworks.
- Familiarity with Git, debugging, and software testing.
- Strong problem-solving skills and willingness to learn.
- Personal projects and GitHub repositories are welcome.
Internship Details
- Work mode: Remote
- Schedule: Flexible, five days per week
- Weekly days off: Saturday and Sunday
- Initial duration: One month
- Compensation: Unpaid during the initial internship period. Continuation and any stipend will be reviewed based on performance, contributions, and business requirements. A paid position or full-time role is not guaranteed.
How to Apply
Send your resume, GitHub profile, and relevant projects to [email protected].
