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NetraDyne

AI-powered fleet safety dash cam analytics

Staff Engineer - Enterprise IT Automation

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Information Technology, AI, or a related field.
  • At least 8 years of experience in IT engineering, including at least 5 years of experience in IT automation, AI tools solutioning, and implementation.
  • Hands-on experience designing and shipping generative AI solutions using tools such as OpenAI, Microsoft Copilot, Claude, Cursor, and GitHub Copilot.
  • Proficiency in a programming language such as Python, Java, or similar, with the ability to build and integrate APIs and workflows.
  • Working knowledge of AI and machine learning frameworks, prompt engineering, retrieval-augmented generation patterns, and agentic or workflow automation such as n8n and Zapier.
  • Strong understanding of enterprise IT infrastructure, cybersecurity, and cloud technologies such as Azure, AWS, and/or Google Workspace.
  • Experience with Microsoft productivity and platform tooling, including O365, SharePoint, and the Microsoft 365/Power Platform ecosystem.
  • Demonstrated ability to integrate AI solutions with existing IT systems, focusing on scalability, security, and reliability.
  • Experience deploying generative AI in a high-speed, AI-driven organization, focusing on innovation and scale.
  • Familiarity with IT security frameworks and identity tooling, including LDAP, Entra ID, single sign-on/identity providers, and VPNs.
  • Understanding of SaaS/generative AI cost governance, usage-based billing, and license management.
  • Experience mentoring engineers and leading cross-functional technical initiatives.

Responsibilities

  • Design, build, and maintain reusable agentic AI agents, workflows, MCP connectors, and assistants for business and support functions, prioritizing templates that scale beyond a single team.
  • Integrate MCP connectors with generative AI platforms such as Microsoft Copilot, OpenAI, Claude, GitHub Copilot, and Cursor into existing enterprise IT and business systems.
  • Automate business workflows and cross-functional processes, and continuously optimize systems for performance, cost efficiency, reliability, and scalability.
  • Apply software-engineering practices, including version control, testing, and observability, so AI solutions are maintainable, monitored, and production-grade.
  • Partner with functional teams to ideate, prototype, and scale AI use cases from concept to production, embedding them into workflows.
  • Collaborate across Sales, Marketing, Customer Success, Product, Engineering, HR, Administration, Legal, and Finance to identify high-value automation and generative AI opportunities aligned with organizational goals.
  • Ensure ethical and secure AI deployment in line with the company's Responsible AI principles, data-protection obligations including GDPR, and InfoSec policies.
  • Support governance of generative AI tool budgets and purchases organization-wide, including visibility into shadow AI spend and usage-based billing models.
  • Monitor, troubleshoot, and enhance deployed automation tools and AI systems to ensure scalability and reliability in production.
  • Stay current with advances in generative AI, agentic frameworks, and IT automation, and translate them into actionable recommendations for continuous improvement.

Desired Qualifications

  • Exposure to SOC automation, AI-driven IT service management, and/or InfoSec response automation.

About the Company

NetraDyne

AI-powered fleet safety dash cam analytics

NetraDyne provides AI-powered safety solutions for commercial fleets. Its main product is an AI-driven dash cam that analyzes driver behavior in real time, detects risky actions (like texting or drowsiness), and issues audio alerts to help drivers correct behavior. Beyond recording, it converts data into actionable insights for fleet managers, enabling remote monitoring, driver coaching through recommended videos, and rewards for safe driving. Revenue comes from selling the technology and a subscription-based software platform for proactive safety, traffic-violation detection, and performance analytics. The company differentiates itself by focusing on proactive, data-driven safety and coaching to prevent incidents, rather than merely recording events. Its goal is to reduce accidents and create safer, smarter roadways for commercial fleets.

Company size
1,001-5,000
Company stage
Series D
Total funding
$352.5M
Headquarters
San Diego, CA
Founded
2015

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