AI/ML Engineer (Founding Team)

Role Overview

We are building an AI-powered Network Reliability Platform that combines Edge Computing, Telemetry, AI, and Network Observability to help businesses automatically detect, diagnose, and explain network failures. We are looking for a passionate AI Engineer to contribute to the core AI layer, working on Root Cause Analysis, telemetry data analysis, and predictive maintenance.

Responsibilities

• Design and implement AI models for network reliability.
• Analyze telemetry, logs, metrics, and time-series data.
• Build anomaly detection and incident classification models.
• Research modern AI techniques for infrastructure monitoring and read research papers.
• Integrate LLMs where they provide practical value.
• Work closely with backend and Edge engineers to optimize models for edge deployment.
• Write clean, maintainable, and well-documented code.

Requirements

• 0–2 years of experience (Final-year students and recent graduates welcome).
• Strong personal project or internship portfolio.
• MUST have a Mac laptop or PC equipped with an Apple Silicon processor (M1 / M2 / M3 / M4 chip) for local model execution and testing.
• Ability to independently research new technologies and adapt quickly.

Skills

• Python
• PyTorch
• LLMs
• SQL
• Git

Benefits

• Flexible schedule
• Paid sick time
• Work from home