Y Combinator Agentic Solution Engineer
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
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Partner with Account Executives to discover and scope customer challenges, designing high-value technical solutions that showcase the ROI of Netomi’s platform.
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Architect and build agentic workflows that integrate generative AI with APIs, databases, and enterprise tools to power experiences for our customer’s end users.
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Develop custom demonstrations, prototypes, and proofs of concept using the Netomi platform tailored to specific clients use cases.
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Design, test, and refine prompts and AI orchestration chains to optimize performance, reasoning, and reliability across varied use cases.
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Communicate complex technical concepts clearly and persuasively to audiences ranging from C-level executives to hands-on engineers.
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Collaborate with product and engineering teams, contributing insights from customer engagements to inform roadmap priorities.
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Document and present solution designs, workflows, and technical configurations for both internal and client-facing reference.
Requirements
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1-2 years of experience in a customer-facing sales engineering or solutions engineering role, ideally in AI, automation, or enterprise SaaS.
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Hands-on experience with AI prompt design, workflow orchestration, and integrating REST APIs, webhooks, and cloud services (AWS, GCP, or Azure).
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Working knowledge of JavaScript, Python, or related scripting languages for building integrations and automation logic.
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Proven ability to architect and communicate end-to-end technical solutions that align AI capabilities with business outcomes.
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Functional understanding enterprise software ecosystems, and data flow patterns.
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Excellent communication, presentation, and interpersonal skills with a record of collaboration across technical and non-technical teams.
Preferred Qualifications
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Experience in agentic or autonomous AI systems (e.g., LangChain, LlamaIndex, or similar frameworks).
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Familiarity with MLOps, AI governance, and compliance in production-scale deployments.
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Background working in high-growth startup environments.
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Awareness of UX/UI principles for designing customer-facing AI experiences.
Skills
As published by lever · 12 questions · 8 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Portfolio URL, GitHub / Other URL
Pick from a list (4)
- How many years of experience do you have in the B2B SaaS space?
- How many years of experience do you have in AI?
- What is your Current Location? optional
- What is your notice period with your current employer? optional
Written answers (8)
- How many years of experience do you have in customer-facing Solutions Engineering role?
- How many years of experience do you have designing AI workflows or working with generative AI, prompt engineering, or orchestration tools?
- How many years of experience do you have integrating REST APIs, webhooks, and enterprise tools in your solutions?
- How many years of experience do you have working with scripting languages such as JavaScript or Python for automation or integrations?
- How many years of experience do you have working with enterprise SaaS platforms in a customer-facing or pre-sales environment?
- What is your current CTC (Current Cost to Company)?
- What is your expected CTC (Expected Cost to Company)?
- How soon are you able to join if selected?