AI Product Specialist
Builds and refines AI agents using prompt engineering, conversational flows, and custom functions on the Regal platform. Tunes STT/LLM/TTS settings, conducts QA testing, delivers product feedback, and supports sales demos. Requires technical degree and 1-2 years experience.
About the job
Responsibilities
- Understand customer requirements: Work with AI Forward Deployed engineers to understand customer use cases, requirements for AI agents and their business objectives. Review customer’s existing human agent call recordings, scripts, training documents, FAQs/knowledge bases and brand guidelines to inform their AI Agent.
- Shape Conversational Experiences: Build AI Agents on the Regal AI Agent Platform leveraging prompt engineering and conversational flows; tune AI agent settings (STT, LLM, TTS) to achieve the conversational quality that is Regal’s signature and that meets customer’s requirements and business objectives.
- Build Custom Functions/Tooling: Understand the limitations of LLMs and where code is needed to achieve certain use cases/performance. Use your coding chops to build custom functions that allow your AI Agents to take actions such as validate zip code, schedule callback, update profile.
- QA Test: Develop test cases and thoroughly test your AI Agents to ensure they pass Regal and the customer’s quality bar. Develop tooling, where needed, to scale QA testing and deliverables to build customers’ confidence in AI Agents.
- Iterate & Learn: Review agent performance in partnership with AI Forward Deployed Engineer who owns the client relationship. Iterate the AI Agent based on customer success criteria.
- Codify Best Practices: Leverage, share, and document best practices for building AI Agents and achieving certain use cases. Participate in prompt engineering forums and research best practices.
- Deliver Product Feedback: Work closely with Regal PMs and Engineers to give feedback on the Regal AI Agent Platform.
- Support Sales Demos: Work with the sales team to build AI Agent MVPs during the sales process to demo agent capabilities to prospects.
Requirements
- Technical Chops: Bachelor’s or Master’s degree in a technical field (Computer Science, Engineering, Data Science) or equivalent experience with prompt engineering.
- Professional Work Experience: 1-2 years of work or internship experience at start-up tech companies, or impressive personal/school projects.
- Demonstrated curiosity for AI & Voice, experimented with conversational design or prompt engineering.
- Analytical thinking & problem solving, time management skills, relentless ownership, entrepreneurial DNA.
Benefits
- Medical, Dental, and Vision plans - 80% covered by the company.
- Flexible PTO & 11 paid holidays/year.
- 401k Plan, Paid parental leave, Pre-tax commuter benefits.
- In-office breakfast and snacks daily, Happy hours, team outings, annual off-sites, Complete laptop workstation.
Skills
Prompt Engineering, LLMs, Stt, Tts, Regal Ai Agent Platform, JavaScript, Python, Conversational AI, Voice Ai, Qa Testing
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