SDE II - Agentic Engineer

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures.

About the role

We are looking for an SDE II - Agentic Engineer to build and scale agentic workflows and tools using Netomi's no-code platform. This role requires strong software engineering fundamentals combined with prompt engineering and API-driven automation to power reliable, autonomous AI agents.

Key Responsibilities

• 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.

Required Skills and Qualifications

• 3 to 6 years of experience as a Software Development Engineer or similar role.
• Strong understanding of prompt engineering and LLM 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.

Nice to Have

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