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Agentic Solution Engineer
Netomi
Remote, IND
Full-time
Entry · 1+ years experience
Remote
Discovered 3 weeks ago
Netomi platformREST APIswebhooksAWSGCPAzure
Free
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Netomi platformREST APIswebhooks
Key Skills for This Role
Netomi platformREST APIswebhooksAWSGCPAzure
Full Job Posting
- 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.
- 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.
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