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Salary
$28k – $68k per year (Estimated)
Location
Remote (India)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Netomi helps companies deliver higher quality customer experiences at scale with AI. If customer service is not a priority, you don't have to read any further. Warner Bros, SodaStream, and HP trust Netomi's AI-first customer service platform to deliver eye-popping results.

About the role

We are looking for an Agentic Solution 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.

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.

Requirement

  • 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.

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.

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