Top Tech Jobs & Startup Jobs in Montreal

Lead exploration and application of large language models and generative AI, translate research into deployable ML systems, and guide strategic direction. Develop solutions across experimentation, implementation, and deployment while collaborating with engineering and product teams to optimize performance and customer outcomes in contact center automation.

Build Replicant’s internal AI enablement program by developing reusable agent workflows, MCP integrations, agent identity management, enterprise SaaS connections, and cost visibility mechanisms. Partner with Sales, Delivery, Engineering, Finance, People, and other teams to identify opportunities, implement secure AI solutions, create shared templates and skills, build AI literacy, and develop internal champions. Optimize AI infrastructure through prompt caching, model routing, tool consolidation, and improved agent design.

Lead the quality engineering efforts for Replicant's AI platform by defining standards, improving testing strategies, and mentoring a QA team to ensure high-quality outputs across software systems.

Build and own production AI agents for assigned customers: discover workflows, design prompts and conversation flows, integrate with customer APIs/CRMs, create test sets, measure and harden agents, monitor live conversations, debug and ship fixes, and feed product improvements. Work customer-embedded to deliver reliable, secure, scalable LLM-powered voice and conversational AI solutions.

Design and deliver full-stack features for AI voice and chat products at enterprise scale. Integrate ASR/TTS and LLM improvements, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with product and ML teams to ship high-impact, scalable solutions.

Lead a 8–15 engineer product squad as a servant leader: hire and grow engineers, own team budget and headcount, drive predictable high-quality delivery, embed AI practices, shape processes and outcomes, ensure engineering excellence (testing, validation, developer experience), and partner across Product and Delivery. Act as a peer in the engineering-management leadership team.