AI Platform Engineer

Job Title: Senior AI Platform Engineer Duration: 1-Year Contract Location: Montreal (Day 1 onsite; 3 days/week in office) Role Overvie wWe are looking for a highly skilled Senior AI Platform Enginee r to design, build, and scale enterprise-grade platforms that enable the development, evaluation, and deployment of Generative AI (GenAI) solutions .In this role, you will work on building a robust AI platform ecosyste m supporting LLM-based applications, agent orchestration, and model evaluation frameworks. You will play a critical role in driving platform innovation, improving developer productivity, and ensuring secure, scalable AI adoption across the organization . Key Responsibiliti esDesign and develop a scalable AI platfo rm for building, testing, evaluating, and deploying GenAI/LLM application s.Buil d self-service tools, SDKs, and AP Is to enable seamless AI application development across team s.Develop and maintai n agent orchestration systems, evaluation pipelines, and ModelOps/LLMOps workflo w s.Architect and implemen t microservices-based backend syste ms using Python (FastAPI ).Ensure high performance usin g asynchronous and concurrent programming techniqu e s.Implement and manag e CI/CD pipelines, DevOps practices, and observability framewor k s.Integrate and manage data and streaming systems includin g Kafka, Redis, and vector databas e s.Collaborate with cross-functional teams (engineering, data science, and product) to deliver scalable AI solution s.Drive platform quality acros s scalability, reliability, security, and performan c e.Promote best practices i n secure development, API design, and system architectu r e.

Must-Have Ski lls6+ years of experience in Python developm ent, with strong expertise in Fast API or similar framewor ks.Hands-on experience in GenAI and LLM-based application developm ent, includi ng:Agent orchestrat ionLLM evaluation framewo rksModelOps / LLM OpsStrong understanding of:Microservices architect ureRESTful API developm entAsynchronous & concurrent programm ingExperience wi th:DevOps practices and CI/CD pipeli nesObservability tools and monitoring framewo rks Nice-to-Have Sk illsKnowledge of security-first de sign, OAuth2, and secure coding practi ces.Experience w ith data streaming and storage technolo gies such as Kafka, Redis, and vector databa ses.Str ong communication and stakeholder management sk i lls.Exposure to enterprise-scale AI platf orms or internal developer platfo rms. Key Compete nciesStrong analytical and problem-solving s killsAbility to work in a fast-paced, innovation-driven enviro nmentOwnership mindset with attention to scalability and qu alityEffective collaboration and communication s kills