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Agentic AI Internship

Build autonomous systems that ship.

An 8–12 week paid internship where you design and build goal-driven, tool-using AI agents for real automation problems, reviewed by a practicing agentic AI engineer.

Move from agent theory to a deployed autonomous system

This is the internship that follows our Agentic AI training — you're placed on a real automation project, working on agent planning, tool integration, or multi-agent coordination tied to an actual business workflow.

You'll ramp up on the project's architecture and tools in week one, move into guided agent-building work, and by the second half of the internship, you'll be owning an agent capability end to end, from design through safety review and deployment.

8–12 Weeks
Duration
Online & Offline
Format
Agentic AI
Track
Performance-based
Stipend
Online / Offline
Mode
8–12 Weeks
Duration
4–6 Interns
Cohort Size
Full-time, Weekdays
Schedule

What you'll work on

Real agent-building work, scoped to grow with your skill level.

Agent Planning Logic

Design and refine the reasoning and planning steps for a real agent workflow.

Tool & Function Integration

Give an agent structured, safe access to real APIs and internal tools.

Agent Memory Implementation

Build short-term or long-term memory for an agent working on a real task.

Guardrail & Safety Checks

Add constraints and evaluation checks before an agent's actions ship.

Code Review Participation

Have your pull requests reviewed, and review others', as part of the team's workflow.

Monitoring & Deployment Support

Help take an agent service through staging, monitoring, and deployment.

Technologies you'll work with

Python
Core Language
Agent Frameworks
Orchestration
Function Calling
Tool Use
Vector Memory Stores
Agent Memory
Task Orchestration
Multi-agent Coordination
Tracing & Monitoring
Observability
LLM APIs
Model Access
Docker
Deployment

How the internship is structured

A four-phase structure that moves you from onboarding to owning a real agent capability.

01. Onboarding & Project Ramp-up

Week 1
  • Tooling and environment setup
  • Agent architecture and tool walkthrough
  • Meet your mentor and team
  • First small, guided task

02. Guided Agent-building Work

Weeks 2–6
  • Paired work on real planning and tool-use tickets
  • Daily standups and sprint planning
  • Code review on every pull request
  • Mid-internship progress check-in

03. Independent Feature Ownership

Weeks 7–10
  • Own an agent capability end-to-end with mentor support
  • Run safety and evaluation checks
  • Participate in deployment
  • Document your work for the team

04. Final Presentation & Evaluation

Weeks 11–12
  • Present your shipped work to the team
  • Mentor evaluation and written feedback
  • Certificate and LOR eligibility review
  • Full-time opportunity discussion, if applicable

The kind of work interns actually ship

Real examples of feature scope Agentic AI interns take on.

Research Assistant Tool Integration

Added a new data-source tool to an existing autonomous research agent.

PythonTool CallingVector Memory

Customer Ops Agent Handoff Logic

Built the handoff logic between two cooperating agents in a customer support workflow.

Multi-agent OrchestrationAPIsGuardrails

Workflow Automation Guardrails

Added safety checks and human-in-the-loop review to an internal automation agent.

Function CallingMonitoringPython

What makes this internship real

Real Automation Problems, Not Sandboxes

You work on agent capabilities tied to actual business workflows, not toy tasks.

A Named Mentor

You're paired with one AI engineer for the full internship who reviews your work and tracks your growth.

Safety-first Practices

You practice the guardrail and review habits real teams use before deploying autonomous agents.

Eligibility

Basic Python Knowledge

Comfortable reading and writing basic Python is expected.

LLM or Agent Exposure Helpful

Prior exposure to LLM APIs or our Agentic AI training program is a plus, but not mandatory.

Full-time Availability

Able to commit to a full-time, weekday schedule for the internship's duration.

A GitHub Profile

Any prior project work or coursework repos you can share with your application.

What you walk away with

Performance-based Stipend

A paid internship, with stipend tied to your track and prior experience.

Certificate of Completion

Awarded to every intern who completes the program's full evaluation.

Letter of Recommendation

Issued to strong performers based on their mentor's written evaluation.

A Real Shipped Portfolio

A deployed agent capability you can show and speak to in interviews.

Full-time Consideration

Top performers are considered first when Agentic AI Engineer roles open.

A Direct Mentor Reference

A working AI engineer who can speak to your work firsthand.

Why intern with YashOrbit

You Ship, Not Just Learn

Every intern's work goes into a real deployed agent capability, not a personal sandbox project.

Mentors Who Are Still Building

You're reviewed by engineers actively shipping agentic systems to clients.

A Clear Path to Full-time

Strong performance is the primary path to a full-time offer, evaluated transparently.

Frequently asked questions

Yes, this is a paid internship with a performance-based stipend, shared with you during the selection process.

Ready to intern on real Agentic AI work?

Apply for the Agentic AI internship and start shipping autonomous systems that actually go live.

Free consultation
Dedicated team
Agile methodology