AI Engineer at Lichenai

Join Lichenai as the first AI Engineer, shaping the core LLM agent layer and data pipeline for voice-led enterprise insights. You will design conversational voice interviewers and analysis agents that transform human tacit knowledge into evidence-backed requirements. Working directly with speech AI expert CTO Catherine Breslin, you’ll drive technical architecture from prototype to production.

• Own the end-to-end LLM agent layer, building text agents for research setup, transcript analysis, and automated report generation.
• Design the conversational logic and voice infrastructure for the interviewer agent, optimizing for latency, turn-taking, and natural human interaction.
• Build robust data architecture and evaluation/observability tooling to ensure the accuracy and reliability of agent-generated insights at scale.

• Hands-on expertise building production systems with Python and LLM APIs, including experience with agent frameworks, tool use, and RAG systems.
• Proven ability to design evaluations for non-deterministic AI systems and build data pipelines for processing large-scale unstructured transcripts.
• Background in speech AI, computational linguistics, or real-time voice (STT/TTS) is highly preferred, alongside a desire for a fast-paced, high-autonomy startup environment.

• Founding-engineer scope on a 4-person team, directly shaping technical architecture and engineering culture alongside a CTO who led science for Amazon Alexa before the product launched.
• Solve a high-value enterprise problem by moving beyond shallow surveys to capture and amplify human insight through sophisticated, adaptive voice AI interviews.
• Join a pre-seed stage venture that has already moved from prototype to production with enterprise customers, offering meaningful equity and high technical autonomy.