Teams at Replicant

Own production bugs, escalations, and enhancements for AI agent products. Investigate issues across logs, code, conversation data, telephony, integrations, authentication, APIs, and LLM prompting; implement, test, and ship fixes. Support customers directly, coordinate testing, guide frontline support engineers, build internal investigation tools, and relay feedback to Product while meeting SLAs.

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.

Build and lead Replicant’s company-wide AI enablement program. Develop MCP integrations, shared agents, agent identity management, enterprise tool connections, reusable AI workflows, and cost-visibility mechanisms. Partner with Sales, Delivery, Finance, People, Engineering, and other teams to identify opportunities, implement solutions, promote AI literacy, and develop internal champions. Optimize AI systems through model routing, prompt caching, better agent design, and secure infrastructure.