Top Tech Jobs & Startup Jobs in Montreal

Design and scale Python async APIs and AI platform services using FastAPI, Semantic Kernel, LLM providers, RAG, vector stores, and tool-using agents. Manage PostgreSQL schemas, CI/CD, Docker deployments, observability, and performance optimization. Build provider-agnostic model integrations and multi-agent workflows while promoting AI-assisted development and practical engineering practices.

Build and operate production AI systems including conversational agents, RAG applications, tool-calling workflows, knowledge agents, and intelligent automation. Design backend services, distributed event-driven architectures, evaluation pipelines, model integrations, observability, and reliability safeguards. Diagnose hallucinations, retrieval issues, agent failures, latency, provider problems, and inference costs. Independently translate ambiguous product goals into secure, scalable, measurable, and cost-efficient AI products.

Leads architecture and development of an AI-powered backend platform using agent orchestration, LLMs, RAG, high-throughput APIs, and distributed systems. Owns production delivery, CI/CD, observability, FinOps, security, model integrations, and reliability. Mentors and hires engineers, partners with Product and Security, and establishes technical roadmaps for scalable, enterprise-grade AI services.

Operate and scale the application security program by maintaining security scanning tools, triaging and validating findings, prioritizing remediation, tracking vulnerabilities to closure, onboarding repositories, and improving documentation and processes. The role also involves communicating vulnerabilities to developers and performing basic Python scripting and automation under senior guidance.