• Lead post-sales technical implementation conversations with merchants, conducting deep technical discovery to understand their systems, integration architecture, and constraints — and translating findings into a clear path forward. • Own the technical onboarding experience, serving as the primary technical point of contact from kickoff to go-live, partnering with internal Engineering and Product teams to identify and address any product gaps and ensure integrations are set up for long-term success. • Establish and maintain technical documentation for merchant onboardings — system architecture diagrams, API inventories, and integration specs — that cross-functional partners rely on throughout the merchant lifecycle. • Build and maintain a library of reusable integration assets — templates, configuration guides, and onboarding playbooks — that improve consistency and reduce time-to-live across the merchant portfolio on the Solutions team. • Lead investigation and resolution of complex post-onboarding technical issues, collaborating with Engineering and Support to drive root cause analysis and communicate findings clearly to internal and external stakeholders. • Own pre-launch QA — including sandbox testing and end-to-end validation of integration flows — ensuring integrations meet a high technical bar before go-live. • Identify and champion AI and automation opportunities that improve operational efficiency, partnering with internal teams to move initiatives from idea to execution.

• Act as the primary technical point of contact for prospects evaluating our product. Understand their needs and design solutions that align with their infrastructure using our platform. • Partner with Customer Success to ensure customers onboard quickly and realize value from the platform. • Develop and maintain technical documentation and guides to streamline pre-sales and guide post-sales workflows. • Support product configuration and deliver minor technical changes required for prospect and customer implementations. • Feed prospect feedback directly into Product and Engineering, helping shape the roadmap and ensuring the platform evolves with real-world needs. • Lay the foundation for a scalable Solutions Engineering function by building playbooks and repeatable best practices.

• Design and develop advanced GUI layouts for data visualization and analysis. • Create sophisticated Trigger Scripts using Javascript for custom data analysis tailored to customer requirements. • Develop intermediate-level external REST API integrations; build custom tooling using Python and JavaScript-based APIs to extend platform functionality. • Apply a solid understanding of networking principles, particularly application transaction flows, to support customer business outcomes. • Profile industry-specific applications across a broad range of verticals; produce technical assets and written collateral to support product improvement and marketing initiatives. • Analyse customer network topologies and application stacks; develop strategies to acquire high-value data from the wire. • Conduct root cause analysis of high-profile technology incidents and advise customers on resolution pathways. • Develop custom signatures using specific or generic indicators-of-compromise • Create rich data visualizations to support tactical investigations and inform strategic objectives. • Build automated tooling to streamline repeatable processes and maximize time spent on higher-value, intelligent solutions. • Provide intelligence and analytical data to support, and guide, threat hunting activities. • Deliver hands-on enablement sessions with key customer stakeholders and technical personnel.

Role Description 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. - 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. Qualifications - 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. Requirements - 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. Company Description 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, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.