Top Engineering Jobs in Ottawa

Design and architect multi-agent orchestration frameworks, build tool-calling pipelines and reasoning loops, and optimize latency and token usage for real-time agentic workflows and autonomous operations.

Run adversarial tests on language and multimodal models, build guardrails and real-time filters for autonomous tool use, and support RLHF alignment and constitutional AI development to ensure safe AI deployment.

Design and integrate vision and audio models into agent reasoning loops, optimize streaming latency for voice-to-voice interactions, and architect multimodal RAG systems to retrieve insights from videos and PDFs.

Optimize, compress, and distill large language and vision models for on-device inference. Build pipelines for distillation and hardware-specific compilation, and benchmark performance across NPU/GPU architectures.

Lead and grow an engineering team, partnering with Product and Design to define roadmaps and deliver features with high-quality execution.

Lead a small senior team building and operating Docker Build Cloud and Hub build systems, driving delivery of hardened, verifiable build infrastructure. Own roadmap execution, operational reliability and on-call, technical direction alongside engineers, hiring and developing staff, and raising security hygiene across CI/CD, image hardening, and supply-chain provenance for regulated customers.

Lead engineering for Consumer Intelligence & Engagement, owning personalization, content management, product discovery, promotions, and communications. Define technology strategy, architecture, and AI integration; ensure GraphQL/APIGEE APIs, SFCC and Sanity implementations, performance, testing, and platform health. Build and mentor senior engineering teams, partner with product and business stakeholders, and drive delivery, standards, and experimentation across DTC commerce capabilities.

Lead platform engineering for consumer web and mobile experiences, set technology vision and standards, own frontend architecture, component library, observability and performance, drive AI/LLM integration, govern vendor delivery, and grow a lean senior engineering team to deliver fast, accessible, and scalable DTC digital experiences.

Lead the Options Engineering team, enhance trading infrastructure, and evolve systematic options trading with a focus on automated systems and risk management.

The Engineering Lead for Options will oversee a team, improve trading systems, and support the platform's evolution, focusing on options trading.

Lead and mentor a team of Forward Deployed Engineers to deploy Cohere's North platform into private cloud and on-premises environments. Own technical delivery and customer success, collaborate with Product/Engineering/Sales, optimize K8s services (OpenSearch, databases), define GPU/CPU scaling, and build scalable processes and tooling.

Lead architecture and implementation of high-throughput, low-latency AdServer and Exchange services. Design scalable, resilient distributed systems, integrate demand/supply partners, improve RTB/auction capabilities, advance observability and automation (including AI-driven testing/IaC), and mentor engineers to increase platform reliability and revenue growth.

Lead an engineering team building an Agentic Marketing Platform: roadmap and deliver major features, improve execution velocity and reliability, recruit and grow engineers, and build systems for content generation (foundation models), context management, insights, and orchestration with ad and lifecycle platforms.

Lead and grow the Customer Studio engineering team to deliver major product features, improve execution pace, hiring, reliability, and incident management. Drive data-warehouse performance optimizations, real-time audience syncing (CDC), analytics/experimentation, and integrate generative AI to improve user workflows while mentoring engineers and collaborating on roadmap and recruiting.

Undergraduate software engineering intern contributing production-ready code, participating in planning, on-call rotations, bug triage, and code reviews, while learning AI technologies and collaborating with the team on AI-related tasks.

Lead and scale a ~9-person engineering organization for Invoice Simple, hiring senior engineers, driving PLG experiment-driven development, overseeing AI/Agents delivery, improving Agile processes, communicating with cross-functional stakeholders, and coaching engineers to maximize performance and product quality.

Lead end-to-end delivery of large-scale analytics and data management programs: enforce delivery best practices, manage multi-workstream teams, liaise with senior stakeholders, ensure quality/performance on cloud data platforms, and drive account growth and talent development.

The Engineering Leader will oversee software and data teams, ensuring product delivery and operational excellence in robotics and IoT systems.

The Engineering Manager will lead the Web & Add-ins team, driving product development and team optimization while ensuring project success and best practices.

The role involves leading technical teams to develop high-quality software, mentoring engineers, and contributing to open source projects. Responsibilities include planning, execution, and enhancing the Linux user experience across various teams and technologies.

Lead and grow a full‑stack engineering team building customer data and identity solutions. Own architecture, APIs, component libraries, code quality, hiring, mentoring, roadmap execution, and cross‑functional collaboration. Contribute code for high‑impact items and ensure scalable systems and agile best practices.

Lead and mentor engineering teams to deliver high-quality, AI-driven software, ensuring accountability and continuous improvement in development processes.

The Staff Engineer leads analog and mixed-signal block design, conducts design reviews, mentors junior engineers, and develops methodologies for advanced technology applications.

The Technical Program Manager will coordinate releases, manage dependencies, ensure effective communication with stakeholders, and establish release processes for multiple AI product teams.

Lead a team of backend engineers to build cloud inference services on Kubernetes, focusing on operational excellence, incident response, and engineering best practices.