Solution Engineer

🕒 June 11

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Netomi

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $30M Series B on 2021-11

Artificial Intelligence • Enterprise • SaaS

Netomi is a company that specializes in providing AI-powered customer experience solutions. Their platform, known as Agentic OS, is designed for enterprise-scale customer service and integrates seamlessly with existing business systems. Netomi's solutions leverage generative AI and large language models to automate over 80% of customer inquiries, enhance customer satisfaction, and reduce support costs. Netomi is trusted by global brands across various industries, offering secure, proactive, and predictive customer care through omnichannel support, including email, chat, messaging, SMS, social media, search, and voice. The company ensures compliance with stringent security standards and data protection regulations.

📋 Description

• Design and write high-quality prompts for LLM-based agents (GPT-class models preferred). • Build agentic tools and workflows using Netomi’s no-code platform (similar to Workato, Zapier, n8n). • Integrate external and internal APIs, including authentication, data mapping, and error handling. • Implement unit tests, debug issues, and ensure 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, QA, and Delivery teams to ship production-grade agentic solutions.

🎯 Requirements

• 5-7 years of experience as a Software Development Engineer or similar role. • Strong understanding of prompt engineering and LLM behavior. • Strong ability to partner with customers and business stakeholders to understand requirements and translate them into actionable solution designs. • 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.

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