AI Agent Development Internship

About the internship

Selected intern's day-to-day responsibilities include:

1. Working on real products with paying clients and creating CrewAI agents to deliver actual video and ads. Understanding LLM/Prompts/RAG/Graph RAG experience with working projects is an advantage!
2. GCP Cloud Management & Monitoring: Monitor cloud resource usage and performance. Ensure the infrastructure remains efficient and secure.
3. Continuous Learning & Development: Learn new technologies and industry best practices through hands-on work. Stay updated on emerging trends and tools.

Hiring process

1. Skill Evaluation: Complete a task to assess your technical skills and problem-solving abilities.
2. Interview: Participate in a short, 30-minute interview to discuss your experience, skills, and fit for the role.
3. Onboarding: Start working after a successful interview and skill assessment!

Who can apply

Only those candidates can apply who

• are available for the work from home job/internship
• can work from 9:30 am - 1:30 am Indian Standard Time (as the company is based outside of India & their local work timings are 7:00 am - 11:00 pm Israel Standard Time)
• can start the work from home job/internship between 6th Oct'26 and 10th Nov'26
• are available for duration of 6 months
• have relevant skills and interests
• * Women wanting to start/restart their career can also apply.

Stipend

INR₹ 5,000 - 7,000 /month

Deadline

2026-11-05 23:59:59

Other perks

Certificate, Letter of recommendation, Flexible work hours

Skills required

Python, Stock Trading, Marketing and Video Marketing

Other requirements

• 1. devops experience
• 2. trading / crypto interest

About company

We are a small startup located in Israel. we work 100% remotely and build trading systems to trade different products in different exchanges around the world. We don't have a website b/c we trade our own money and don't need external clients. We are working with top/latest developing environments and building from scratch models that are based on recent research literature both vision and time series.