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Agentic Solution Engineer

4 months, 3 weeks ago
India
Full-time
Junior
Solutions Engineer
Artificial Intelligence and Machine Learning
AWS Azure GCP Generative AI JavaScript MLOps Python REST API UI Design UX Design
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Netomi

Netomi

Netomi is an AI-first customer service platform revolutionizing customer support with industry-leading resolution rates and multilingual support.

IT Services
51-250
Founded 2015
$52M raised
View All Jobs 20

Description

  • Partner with Account Executives to discover and scope customer challenges and design high-value technical solutions that demonstrate the ROI of Netomi’s platform.
  • Architect and build agentic workflows that integrate generative AI with REST APIs, databases, webhooks, and enterprise tools to power end-user experiences.
  • Develop custom demonstrations, prototypes, and proofs of concept on the Netomi platform tailored to specific client 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 to convey insights from customer engagements and influence roadmap priorities.
  • Document and present solution designs, workflows, and technical configurations for both internal teams and client-facing references.
  • Work directly with enterprise clients and internal stakeholders to translate AI concepts into practical, scalable systems enabling agents to engage, reason, and act autonomously within customer ecosystems.

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 of 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 with agentic or autonomous AI systems (e.g., LangChain, LlamaIndex, or similar frameworks) (preferred).
  • Familiarity with MLOps, AI governance, and compliance for production-scale deployments (preferred).
  • Background working in high-growth startup environments and awareness of UX/UI principles for designing customer-facing AI experiences (preferred).

Interested in this position?

Apply directly on the company website

Apply Now

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