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The key details from the original listing.
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Description supplied by the original job listing.
The core responsibilities for the job include the following:
Customer Problem Discovery:
Partner closely with strategic customers to deeply understand workflows, constraints, and pain points.
Identify high-leverage AI agent use cases across support, sales, operations, and automation.
Turn vague business problems into clear, solvable technical and AI system designs.
Agent Design and Deployment:
Design and deploy end-to-end AI agent systems across voice and chat.
Craft and iterate on prompts, tools, memory, state, routing, guardrails, and fallbacks.
Debug AI behavior in production from hallucinations to latency to edge cases.
Ensure agents are reliable, safe, observable, and scalable.
Solution Architecture and Integrations:
Build custom integrations with CRMs, ticketing tools, telephony systems, internal APIs, and data sources.
Design solutions that fit seamlessly into existing enterprise stacks.
Support requirements around security, compliance, VPCs, and data isolation.
Guide customers on best practices for deploying and scaling AI agents.
Execution and Ownership:
Own deployments end-to-end for strategic customers.
Prototype quickly, test aggressively, iterate fast, and ship confidently.
Build compelling demos and live examples that showcase what's possible.
Present results and recommendations to engineers, product teams, and senior stakeholders.
Product Feedback Loop:
Act as the voice of the field for core product teams.
Surface patterns, gaps, and opportunities from real deployments.
Requirements:
Experience working with customers in a technical, solutions-oriented role (solutions engineering, FDE, product engineering, consulting, etc. ).
Comfortable collaborating with both engineers and non-technical stakeholders.
Working knowledge of Python and APIs for prototyping and integrations.
Familiarity with LLMs, AI agents, conversational systems, or workflow automation.
Strong problem-solving skills and the ability to structure ambiguous problems.
With a strong ownership mindset, you take things from idea to production.
Excellent communication skills, especially explaining complex systems in simple terms.
Experience
2-4 yrs
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