Posted at: 11 June
Agentic Solution Engineer
Company
Netomi is a San Mateo-based B2B AI company specializing in conversational AI solutions for enterprise customer service, serving industries like hospitality and airlines, with a focus on automating customer interactions.
Remote Hiring Policy:
Netomi supports remote work and hires from various regions, including the United States, India, and Canada, with team members collaborating across time zones.
Job Type
Full-time
Allowed Applicant Locations
United States, Canada, India
Salary
$90,000 to $130,000 per year
Job Description
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
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Design and write high-quality prompts for LLM-based agents (GPT-class models preferred).
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Build agentic tools and workflows using Netomi’s no-code platform (similar to Workato, Zapier, n8n).
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Integrate external and internal APIs, including authentication, data mapping, and error handling.
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Implement unit tests, debug issues, and ensure reliability of agent workflows.
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Apply engineering best practices and design patterns such as retries, timeouts, idempotency, and lazy loading.
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Optimize agents for performance, cost, and fault tolerance.
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Collaborate with Product, QA, and Delivery teams to ship production-grade agentic solutions.
Requirement
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5-7 years of experience as a Software Development Engineer or similar role.
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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.
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Hands-on experience with REST APIs, webhooks, and JSON-based integrations.
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Solid experience in unit testing, debugging, and troubleshooting.
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Knowledge of resilient system design patterns and non-happy path handling.
Nice to Have
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Experience with no-code/low-code automation platforms.
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Exposure to agentic AI, conversational AI, or workflow orchestration systems.
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Familiarity with observability and monitoring in production systems.