Top Tech Jobs & Startup Jobs in Toronto

Design, build, test, and deploy secure cloud-native software and AI solutions for legal workflows. Partner with legal customers to translate needs into scalable products, evaluate LLM outputs, optimize prompts, apply DevOps and infrastructure-as-code practices, manage technical debt, and mentor junior engineers. The role requires strong Python and distributed-systems expertise, legal fluency, client communication, and collaboration across engineering, product, legal, and design teams.

Designs, builds, and deploys production-grade AI applications and services for enterprise customers. Responsibilities include customer discovery, AI architecture, software development, APIs, integrations, deployment, observability, evaluation, MLOps/LLMOps, security, governance, and production support. The role also develops reusable frameworks, participates in design reviews, mentors engineers, and leads solutions across the full lifecycle from problem discovery through deployment.

Build and lead a customizable, enterprise-scale search retrieval platform. Responsibilities include designing retrieval APIs and search services, managing ingestion and indexing pipelines, enabling hybrid retrieval and ranking, operationalizing evaluation and observability, enforcing multi-tenant security, owning SLOs and on-call, and partnering with product, research, and applied science teams. The role also sets architectural direction, leads cross-team initiatives, and mentors engineers.

Build and operate Thomson Reuters’ scalable search platform, including document ingestion pipelines, indexing systems, query APIs, cloud infrastructure, and AI-enabled retrieval capabilities. Responsibilities include designing distributed services, migrating from OpenSearch to Vespa, improving observability and reliability, participating in on-call, owning production incidents, mentoring engineers, and collaborating with research scientists and client teams to deliver search and AI features.

Build and deploy production-grade AI solutions for legal workflows, including RAG pipelines, agentic systems, enterprise integrations, evaluation frameworks, and observability. Collaborate with architects, engineers, clients, and legal subject-matter experts to translate legal needs into secure, scalable implementations. Participate in technical discovery, prototyping, demonstrations, prompt engineering, model evaluation, red-teaming, and MLOps/LLMOps lifecycle management.

Design, build, and operate a scalable search control plane managing provisioning, configuration, upgrades, indexing, and retirement across Kubernetes, Kafka, Vespa, and OpenSearch. Own multi-tenant security, observability, SLOs, infrastructure as code, CI/CD, capacity planning, reliability, and incident response. Provide technical leadership, establish architectural standards, lead infrastructure initiatives, partner with client teams, and mentor engineers.

Design, build, and deploy scalable, secure machine learning solutions—with emphasis on recommender systems. Produce design docs and representative models, establish ML best practices and quality control, lead engineering efforts, and collaborate cross-functionally to integrate ML products using cloud, MLOps, and data engineering tools.

Own key areas of the CoCounsel application experience from problem definition through delivery. Shape product strategy and roadmap, improve UX and performance, drive adoption and retention, and lead initiatives such as personalization and collaboration. Partner with product, engineering, customer-facing, legal, IT, security, and operations stakeholders to translate customer needs into experiments, requirements, and measurable outcomes. Develop repeatable UI patterns and documentation while supporting commercial and customer success teams.

Provides technical leadership for generative AI products in Corporate Tax and Trade. Defines software strategies, leads AI-native feature development, integrates LLMs and generative AI, improves Micro Front End scalability and latency, mentors global engineering teams, manages technical risk, and translates business needs into technical solutions. Requires extensive software engineering experience, modern web technologies, cloud platforms, AI/ML integration, enterprise SaaS experience, and advanced education.

Provides technical leadership for generative AI products in Corporate Tax and Trade. Defines software strategies, designs AI-native features, integrates LLMs, optimizes Micro Front Ends, mentors engineering leaders, manages technical risk, and translates business needs into scalable solutions. Requires extensive software engineering experience, modern web and cloud technologies, agentic AI expertise, enterprise SaaS experience, and the ability to lead complex initiatives.