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Netomi

Enterprise AI for autonomous customer service

Agentic Engineer Level 2/3

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in IndiaNo salary listedRemote

About the Job

Requirements

  • Four to seven years of experience as a Software Development Engineer or in a similar role.
  • Strong understanding of prompt engineering and large language model behavior.
  • Hands-on experience with REST APIs, webhooks, and JSON-based integrations.
  • Solid experience in unit testing, debugging, and troubleshooting.
  • Knowledge of resilient system design patterns and non-happy-path handling.

Responsibilities

  • Design and write high-quality prompts for large language model-based agents, with GPT-class models preferred.
  • Build agentic tools and workflows using Netomi’s no-code platform, similar to Workato, Zapier, and n8n.
  • Integrate external and internal application programming interfaces, including authentication, data mapping, and error handling.
  • Implement unit tests, debug issues, and ensure the reliability of agent workflows.
  • Apply engineering best practices and design patterns such as retries, timeouts, idempotency, and lazy loading.
  • Optimize agents for performance, cost, and fault tolerance.
  • Collaborate with Product, Quality Assurance, and Delivery teams to ship production-grade agentic solutions.

Desired Qualifications

  • Experience with no-code or low-code automation platforms.
  • Exposure to agentic artificial intelligence, conversational artificial intelligence, or workflow orchestration systems.
  • Familiarity with observability and monitoring in production systems.

About the Company

Netomi

Enterprise AI for autonomous customer service

Netomi provides an enterprise AI platform that automates and optimizes customer service for large-scale, regulated industries. Its agentic AI watches real-time customer journeys and proactively resolves issues across chat, email, messaging, and voice, often without human help. The platform combines proprietary natural language understanding with no-code workflow automation, enabling rapid deployment and seamless integration with legacy systems, and it offers Auto-pilot for autonomous resolution and Co-pilot to assist human agents. It handles very high request volumes, maintains strong security standards (ISO 27001, SOC2, GDPR), and partners with Adobe to embed AI into software layers, aiming to reduce support costs and improve customer satisfaction.

Company size
201-500
Company stage
Series C
Total funding
$147.5M
Headquarters
San Mateo, CA
Founded
2016

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