🤖 Multi-Agent Systems • Autonomous Workflows • Conservation AI
Kashmir World Foundation (KwF) is seeking an Agentic AI Intern to help build next-generation AI agents for wildlife protection, unmanned systems, conservation research, data science workflows, and nonprofit operations. This role is ideal for students interested in autonomous AI systems, multi-agent orchestration, and real-world AI deployment supporting conservation and environmental monitoring.
Interns will work on:
• Multi-agent systems & agent orchestration
• RAG pipelines, vector databases, and agent memory
• Structured outputs, tools, MCP servers, and Skills
• Custom APIs with Flask/FastAPI
• AI integrations for research, automation, and operational workflows
Required Skills
- Intermediate+ Python
- Experience with frontier & open-source multimodal LLMs
- LangChain/LangGraph, OpenAI Agents SDK, Agno, Pydantic, or similar frameworks
- Context engineering, RAG, vector databases, and memory systems
- API development with Flask or FastAPI
Preferred Skills
- JavaScript/Node frontend
- AI model evaluation & data science workflows
- Drone/robotics SDKs (DroneKit, MAVSDK, PyMAVLink)
- ROS/ROS2, Unity, Unreal Engine, Gazebo, or Isaac Gym
- Third-party integrations (Google Workspace, Discord, Office, etc.)
- Basic cloud infrastructure (AWS, GCP, Azure)
📅 Internship Period: June 1 – August 14, 2026
This is a hands-on opportunity to build experimental AI systems supporting conservation technology, autonomous research workflows, and wildlife protection initiatives.
Learn More About KwF
Beyond the Noise (Documentary)
https://youtu.be/-Ti0vHeNF8o?si=zXUvx8GDqdyi4LJs
A glimpse into the challenges and field experiences our teams face.
Hear from Our Interns
- Griffin Burke: https://youtu.be/DaOED2MNXHI?si=4y1xSePRLa8ge4Sz
- Daan Eeltink: https://youtu.be/K5VeyIcfWlQ?si=f0aaKQZQn-VI0G_2
- Rayan Kabaha: https://youtu.be/GaUmSH7oG_w?si=SNm6nVZx-iUqrD5J
