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Description:
Develop and manage AI agents for customers throughout the entire lifecycle: discovery, design, build, evaluation, launch, and live operation.
Collaborate with customers to understand workflows and translate business goals into agent specifications, ensuring adherence to business logic.
Design prompts and conversation flows for agents, iterating based on evaluations and real interactions.
Integrate agents with customer systems, ensuring reliable API calls and handling edge cases.
Build test sets to measure agent quality and ensure production readiness.
Monitor live conversations, debug issues, and implement fixes as needed.
Provide feedback to Product for continuous improvement of agent development.
Requirements:
Strong customer-facing skills with the ability to communicate effectively with both technical and non-technical stakeholders.
Proficiency in integration patterns and API connections, ensuring reliable tool calls.
Experience in crafting prompts and instructions for LLMs, with a focus on conversation quality.
Nice to have: coding experience (TypeScript, Python, SQL), background in solutions engineering, and familiarity with conversational AI or contact center domains.
A computer science degree is not required; relevant experience in systems administration or integration engineering is valued.
Benefits:
Company-wide offsites and team gatherings to foster personal connections.
Tech & learning stipend for conferences, books, and courses.
Remote work flexibility with trust in managing personal schedules.
Comprehensive health and wellness benefits, including flexible vacations and a sabbatical after 5 years.
Competitive salaries and equity options in a growing AI company.