Teams at Replicant

Lead exploration and application of large language models and generative AI for enterprise contact-center automation. Translate research into high-performing, deployable ML systems; contribute across experimentation, implementation, and deployment; collaborate with engineering and product teams; optimize performance; and help shape team strategy, innovation, and professional growth.

Design, build, and operate customer-specific AI agents end-to-end: map workflows, write prompts and conversation flows, integrate with customer APIs, create test sets, monitor live conversations, debug production issues, and iterate on agent quality with product feedback.

The Lead Quality Engineer will set quality standards, mentor a QA team, improve testing strategies, and enhance automation in AI-driven workflows.