OverviewAbout TextLayer TextLayer helps enterprises and funded startups deploy advanced AI systems without rewriting their infrastructure. We work with organizations across fintech, healthtech, and other sectors to bridge the gap between AI potential and practical implementation. Our approach combines deep technical expertise with proven frameworks like TextLayer Core to accelerate development and ensure production-ready results. From bespoke AI workflows to agentic systems, we help clients adopt AI that actually works in their existing tech stacks. We're on a mission to help address the implementation gap that over 85% of enterprise clients experience in adding AI to their operations and products. We're looking for sharp, curious people who want to meaningfully shape how we build, operate, and deliver. If you're excited to work on foundational AI infrastructure, solve complex problems for diverse clients, and help define what agentic software looks like in practice, we'd love to meet you.The RoleThe AI Architect plays a critical role in our team. Working on both the frontend and backend architecture and orchestration layer for our AI systems, including retrieval-augmented generation systems, agentic systems, and tool integrations.Key ResponsibilitiesArchitect and maintain Python-based services using FastAPI for internal and customer-facing AI use casesBuild and scale secure, well-structured API endpoints that interface with LLMs, vector stores, and agentic toolsImplement orchestration logic and tool chaining for advanced agent workflowsOptimize service performance and latency across AI infrastructure layersCollaborate with frontend, AI,



and devops teams to ensure system-wide reliability and observabilitySet up robust test coverage and CI pipelines for backend servicesContribute to our modular architecture for tool-based reasoning agentsStay current with emerging trends in AI engineering, LLM integrations, and scalable backend systemsWhat You Will BringTo succeed in this role, you'll need deep full-stack development expertise, a solid understanding of modern architecture patterns, and a bias toward building modular, maintainable systems.Required Qualifications3+ years of experience as a full-stack engineer, building scalable backend systems in PythonStrong knowledge of Flask for building and scaling product grade APIsExperience with LLM orchestration frameworks (e.G., LiteLLM) and integrating OpenAI or similarFamiliarity with vector databases, embeddings, and RAG patternsExperience building and maintaining infrastructure that integrates with frontends, CLIs, and external APIsComfortable with GitHub, Docker, and CI/CD tooling (e.G., GitHub Actions)Proficiency in writing robust, tested, and well-documented backend codeBonus PointsFamiliarity with AWS/GCP/AzureExperience with Langfuse or similar observability/tracing toolsKnowledge of AI Agents and Retrieval Augmented Generation(RAG)CI/CD familiarity (Github Actions, GitLab, CircleCI, etc)Have built your own agentic end-to-end systemHave worked with Python and built scalable backend systemsDon 't Meet These?We hire for great developers - not just those with extensive backgrounds in AI. If you've held Staff or Principal roles within your organization and want to learn AI, we want to meet you!Compensation Range: CA$215K - CA$250K #J-18808-Ljbffr

📌 Ai Architect I (Riviere-des-Prairies—Pointe-aux-Trembles)
🏢 Textlayer
📍 Riviere-des-Prairies—Pointe-aux-Trembles