Conversational AI & Prompt Engineer

ZenBusiness Inc.

23h • Remote

About The Position

Velo is redefining how entrepreneurs interact with ZenBusiness through intelligent, conversational experiences. As the Conversational AI & Prompt Engineer, you will craft the voice, reasoning, and effectiveness of Velo, ensuring every interaction is clear, trustworthy, and results-driven.
Blending conversational design mastery with advanced LLM optimization, you will evolve prompts, dialogue flows, and decision logic to deliver seamless, high-quality AI experiences. Through rapid experimentation and data-driven iteration, you’ll continuously raise the bar on accuracy, efficiency, and customer satisfaction.
In this role, you’ll directly influence how AI accelerates business growth for the next generation of founders. It sits at the intersection of software development, prompt engineering, analytics, and conversational AI, and reports to the Senior Director of Growth & AI. This is a fully remote role and ideal for someone passionate about making AI interactions more reliable, helpful, and aligned with real customer needs.

Requirements

• 5+ years with 2+ years in Conversational AI, Applied LLM Engineering, Prompt Engineering, or NLP systems in production environments.
• Deep experience designing and optimizing prompts for GPT, Gemini, or similar models, including structured outputs and function calling.
• Practical experience designing and tuning RAG pipelines (chunking, embeddings, retrieval evaluation).
• Experience building evaluation datasets and running prompt experiments (A/B testing, automated scoring, regression testing).
• Proficiency in Python or TypeScript; experience integrating LLM APIs in production systems.
• Ability to analyze conversational performance using data and logs to drive measurable improvements.
• Strong systems thinking, empathy for users, and ability to translate business logic into scalable AI behavior.

Nice To Haves

• Experience With Agentic Systems: Similar to Decagon, Agentforce, Fin, Sierra

Responsibilities

• Analyze conversation transcripts and user feedback to identify areas of confusion, failure, and prompt leakage.
• Work with the Customer Impact Team Product Lead to define and track conversational KPIs (e.g., resolution rate, containment rate, user satisfaction).
• Optimize prompts and model selection for cost efficiency, response latency, and scalability in production environments.
• Collaborate with the engineers to improve conversation-specific evaluation criteria (e.g., NLU accuracy, intent recognition).
• Design and maintain evaluation frameworks to measure prompt performance using golden datasets and automated scoring (e.g., LLM-as-judge, rubric-based scoring, precision/recall of intent routing).
• Implement guardrails to reduce hallucinations, prevent prompt injection, and ensure compliant, safe responses.
• Collaborate on design, map, and implement complex conversation flows, including error recovery and contextual handoffs (escalation to human support).
• Own the continuous optimization of system prompts and instructions for LLMs (Gemini, OpenAI) to ensure Velo's response is accurate, tone is consistent, and on-brand.
• Design and optimize structured outputs, function calling, and tool-routing logic to ensure accurate data capture and downstream system integrations.

Benefits

• The company offers various benefits to employees and their dependents, including medical, vision, dental, disability, and life insurance, as well as parental and military leave.
• Other benefits include an employee assistance program, 401k + match, annual bonus, pet insurance, and RSUs.
• Paid parking and 10 paid holidays are also provided.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed