Lead AI Engineer

Lead AI Engineer – AI Platform Remote within Canada We're hiring a Lead AI Engineer to help build and scale an AI-powered platform used to transform complex, industry-specific workflows. This is a hands-on development role focused on creating innovative solutions that leverage generative AI, RAG architectures, document ingestion pipelines, and agentic workflows to solve real-world problems and support rapid growth. You'll join a fast-paced, mission-driven environment where engineering excellence, mentorship, and collaboration drive impact. As a key individual contributor, you'll work closely with product, data, design, and architecture teams to shape our technical direction, bring ideas from concept to deployment, and orchestrate scalable AI systems. What You'll Do Design, build, and maintain production-ready AI systems, applied AI/ML pipelines, and agentic workflows Architect and optimize robust document ingestion pipelines to serve as the knowledge foundation of the platform Evaluate, test, and integrate frontier LLMs, agent frameworks, and modern AI tooling in collaboration with technical leaders Participate in and lead architectural discussions, design reviews, code reviews, and technical estimations Champion coding standards, automated testing, CI/CD practices, and AI-first development workflows to improve engineering velocity Collaborate closely with Product, Data, Design, and QA teams to translate business requirements and UI/UX designs into scalable backend capabilities Provide hands-on mentorship, guidance, and knowledge sharing to junior and intermediate engineers as an individual contributor What You'll Bring 5+ years of professional software engineering or data science experience, with 2+ years focused on production AI/ML systems Proven track record deploying generative AI, LLMs, RAG architectures, and document processing systems into live production environments Strong proficiency in Python and solid experience with modern backend languages (TypeScript, C#/.NET, etc.) Solid understanding of microservices architecture, API design, and cloud infrastructure Full-stack mindset with familiarity in modern frontend frameworks (e.g., React, React Native) and how they integrate with AI backends Systems-thinking mindset with a demonstrated ability to mentor engineers and influence technical strategy without formal authority Excellent communication skills and a collaborative spirit Bonus Points Experience with agentic workflows, prompt engineering, and modern AI development tooling (e.g., Claude Code or similar) Hands-on experience building custom evaluation suites (e.g., LLM-as-judge pipelines, human-in-the-loop testing, retrieval optimization) Prior experience in a fast-paced startup environment navigating evolving roadmaps Exposure to complex enterprise data, document enrichment, or legacy industry workflows Additional Details Full-time, permanent Remote Comprehensive benefits package and opportunities for continuous learning and career growth This is an opportunity to shape how businesses leverage artificial intelligence, building scalable systems, solving complex technical challenges, and taking cutting-edge research and making it survive contact with real users, latency, and production data.

Design and maintain production-ready AI systems, including RAG architectures and agentic workflows, to transform industry-specific workflows. Collaborate with cross-functional teams to translate business requirements into scalable backend capabilities while mentoring junior engineers.

Requires 5+ years of software engineering experience with at least 2 years focused on production AI/ML systems and LLMs. Proficiency in Python and modern backend languages is essential, along with a strong understanding of microservices and cloud infrastructure.

• Comprehensive Benefits Package • Continuous Learning Opportunities • Career Growth Opportunities

• ReactSouhaitée
• TypeScriptSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Generative AI
• RAG Architectures
• Python
• TypeScript
• C#/.NET
• Microservices Architecture
• API Design
• Cloud Infrastructure
• React
• React Native
• Agentic Workflows
• Prompt Engineering
• LLM Evaluation
• CI/CD
• Document Ingestion Pipelines
• Software Engineering

• Software
• Technology
• Engineering
• Data & Analytics
• Science & Research

Expérience minimale

5+ ans

Postuler avant le

28 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte