Agentic Solution Engineer

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Netomi

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Agentic Frameworks

Tech Stack

About the Role

Netomi is the leading agentic AI platform for enterprise customer experience, working with brands like Delta Airlines, MetLife, MGM, and United to enable agentic automation at scale.

About the Role

Solution Engineer - a key technical leader at the intersection of pre-sales engineering, AI architecture, and product innovation. Design and implement agentic workflows that leverage the Netomi platform to power real-world enterprise solutions.

Responsibilities

  • Partner with Account Executives to discover and scope customer challenges, designing high-value technical solutions
  • Architect and build agentic workflows that integrate generative AI with APIs, databases, and enterprise tools
  • Develop custom demonstrations, prototypes, and proofs of concept using the Netomi platform
  • Design, test, and refine prompts and AI orchestration chains to optimize performance, reasoning, and reliability
  • Communicate complex technical concepts to C-level executives and engineers
  • Collaborate with product and engineering teams, contributing insights from customer engagements
  • Document and present solution designs, workflows, and technical configurations

Requirements

  • 1-2 years experience in customer-facing sales engineering or solutions engineering (AI, automation, or enterprise SaaS)
  • Hands-on experience with AI prompt design, workflow orchestration, REST APIs, webhooks, and cloud services (AWS, GCP, or Azure)
  • Working knowledge of JavaScript, Python, or related scripting languages
  • Proven ability to architect end-to-end technical solutions aligning AI capabilities with business outcomes
  • Understanding of enterprise software ecosystems and data flow patterns

Preferred Qualifications

  • Experience in agentic or autonomous AI systems (LangChain, LlamaIndex, or similar)
  • Familiarity with MLOps, AI governance, and compliance
  • Background in high-growth startup environments
  • Awareness of UX/UI principles for AI experiences

Location: Toronto, Canada (onsite)

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