Agentic Solution Engineer

About the Role

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

You’ll work directly with enterprise clients and internal stakeholders to translate visionary AI concepts into practical, scalable systems - enabling AI agents to engage, reason, and act autonomously within complex customer ecosystems.

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.

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.

Preferred Qualifications

• 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.