About the Internship
Selected intern's day-to-day responsibilities include:1. Build AI Agents: Assisting in developing modular AI agents for network observability, including RCA, scoring models (e.g., UHI), and diagnostics using Python.
2. Analyze Telemetry Data: Exploring and preprocessing telemetry from SNMP, SSH, API, and endpoint Dex agents to support agent logic and modeling.
3. Prototype ML Models: Implementing and testing lightweight ML models for pattern recognition, anomaly detection, and prediction tasks related to network performance.
4. Integrate LLMs & Prompts: Supporting prompt engineering and testing of LLM-based agents (e.g., for Co-Pilot), contributing to contextual workflows, and chat-driven insights.
5. Develop & Test APIs: Building or consuming REST APIs using FastAPI to integrate AI agent outputs with the LinkEye backend or dashboard.
6. Simulate & Debug: Creating test cases, simulating network conditions (e.g., link flaps, auth failures), and debugging agent behaviors in development environments.
7. Documentation & Logs: Maintaining clear documentation of experiments, agent design, data insights, and weekly progress updates.
8. Collaborate & Learn: Participating in daily stand-ups, peer reviews, sprint meetings, and knowledge-sharing sessions with AI and networking teams.
Number of Openings
5 openingsOther Requirements
1. are available for full time (in-office) internship
2. have relevant skills and interests
3. can start the internship between 1st Aug'25 and 5th Sep'25
4. are available for duration of 6 months
5. have already graduated or are currently in any year of study
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