Netomi - Agentic Solution Engineer
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Requirements
• 1-2 years of experience in a customer-facing sales engineering or solutions engineering role, ideally in AI, automation, or enterprise SaaS. • Hands-on experience with AI prompt design, workflow orchestration, and integrating REST APIs, webhooks, and cloud services (AWS, GCP, or Azure). • Working knowledge of JavaScript, Python, or related scripting languages for building integrations and automation logic. • Proven ability to architect and communicate end-to-end technical solutions that align AI capabilities with business outcomes. • Functional understanding enterprise software ecosystems, and data flow patterns. • Excellent communication, presentation, and interpersonal skills with a record of collaboration across technical and non-technical teams. • Experience in agentic or autonomous AI systems (e.g., LangChain, LlamaIndex, or similar frameworks). • Familiarity with MLOps, AI governance, and compliance in production-scale deployments. • Background working in high-growth startup environments. • Awareness of UX/UI principles for designing customer-facing AI experiences.
Responsibilities
• Partner with Account Executives to discover and scope customer challenges, designing high-value technical solutions that showcase the ROI of Netomi’s platform. • Architect and build agentic workflows that integrate generative AI with APIs, databases, and enterprise tools to power experiences for our customer’s end users. • Develop custom demonstrations, prototypes, and proofs of concept using the Netomi platform tailored to specific clients use cases. • Design, test, and refine prompts and AI orchestration chains to optimize performance, reasoning, and reliability across varied use cases. • Communicate complex technical concepts clearly and persuasively to audiences ranging from C-level executives to hands-on engineers. • Collaborate with product and engineering teams, contributing insights from customer engagements to inform roadmap priorities. • Document and present solution designs, workflows, and technical configurations for both internal and client-facing reference.
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