Top Software Engineer Jobs in Vancouver

Architect, build, and deploy agentic and multi-modal AI systems for biopharma and healthcare. Lead end-to-end development, cloud deployments (AWS), Kubernetes-based backend services, model serving, data pipelines, CI/CD/DevOps, and mentor junior engineers while collaborating with researchers and product teams.

Design and build scalable, highly available services for OneLake and ISV integrations. Own end-to-end development, observability, testing, and production readiness. Collaborate with product and partner teams, drive design reviews and code quality, mentor engineers, and leverage AI tools to enhance partner integration with Microsoft Fabric.

Design, build, and productionize LLM-powered systems (adaptive content, tutors, evaluators) and AI pipelines (RAG, embeddings, fine-tuning). Prototype and optimize models across modalities, define AI safety/evaluation/observability practices, and collaborate with product and engineering to measure learner outcomes and iterate.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Develop and maintain Avigilon Unity video products using C++/C# within a Scrum team. Provide end-to-end solutions: design, architecture, implementation, CI/CD, containerization, test automation, and database integration (Berkeley, Postgres). Mentor teammates, contribute to DevOps/build pipelines, and support users. Work hybrid in Greater Vancouver.

Design, implement, and maintain gameplay AI systems in Unreal Engine 5. Prototype and integrate AI behaviors for enemies/NPCs, optimize perception, decision-making, navigation, and pathfinding. Integrate AI middleware, establish UE5 engineering best practices, collaborate with design and gameplay teams, and drive performance, maintainability, and production-ready code.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

Build and maintain backend APIs and data pipelines that ingest and process large-scale construction data (360° video, schedules, IoT). Optimize storage and query performance using DuckDB and PostgreSQL, extend Airflow workflows, integrate Wasm for local computation, monitor data quality, and collaborate with frontend, CV, and ML teams to deploy production models and analytics.

Engineer software that connects AI-driven platforms to datacenter power infrastructure. Develop control strategies and optimize energy use and AI workloads.

Design, develop, and maintain robust, performant, secure software for the Review Team. Analyze requirements, estimate effort, participate in code reviews, troubleshoot and fix defects, guide best practices, and make product design and architecture decisions while collaborating across teams.

Develop and maintain infrastructure for software development and AI operations, manage CI/CD pipelines, and automate configurations using various tools.

Lead design and implementation of a custom MAC layer for a satellite constellation. Develop TDMA/DAMA schedulers, ARQ/AMC, handover logic, and optimize interfaces to high-speed packet engines (DPDK/VPP). Collaborate with PHY and network architects, drive MAC architecture decisions, and lead protocol development from simulation through hardware integration and field testing.

Build and maintain internal AI enablement tools, workflows, and guardrails to help engineers use coding agents and LLMs safely. Evaluate models, partner with teams to apply AI, track adoption and impact, and provide documentation, coaching, and advocacy to increase engineering velocity.

Design, develop, and deliver high-performance, scalable backend systems using Ruby on Rails (preferred) or Go/Node.js/Python. Collaborate with product and engineering teams, practice TDD and CI/CD, work with SQL/NoSQL databases, caching, and cloud infrastructure (AWS), and contribute to distributed system design and reliability.

Develop and maintain AV automation tools and distributed test platforms to measure device audio/video quality. Build front-end and backend services, operationalize AV metric pipelines, and collaborate with internal teams and external vendors to validate device capabilities and roll out AV-related applications.

As a Junior Full Stack Software Developer, you will design, develop, and maintain scalable web applications, writing clean code and collaborating with your team on complex challenges.

The Circuit Analysis Engineer will design, implement, and maintain software for transistor-level circuit simulation using AI frameworks, collaborating with engineering teams.

As a Senior Software Engineer, you'll develop core infrastructure for multi-agent systems, designing backend services and APIs for orchestration, collaborating across teams, and driving technical decisions in a dynamic environment.

As a Senior Software Engineer on the Cash App Banking team, you will lead the design, execution, and delivery of banking features, collaborating across teams to enhance the user experience.

Design and implement a distributed query optimizer for MongoDB: research query systems, architect and build features to improve query performance, collaborate across teams, mentor engineers, and drive long-term roadmap and production-quality changes in a large C++ codebase.

Develop and deliver AI/ML features (LLMs, RAG, agent orchestration) including backend services in Python, integrate cloud services (AWS Bedrock), design knowledge bases and retrieval, improve prompts and agent reliability, review code, write tests and docs, mentor juniors, and participate in architecture and risk management.

Build and maintain Python services and containerized firmware emulation environments on Amazon EKS. Implement and manage Terraform infrastructure, develop orchestration APIs and tools, debug across containers, clusters, and networks, contribute to CI/CD, and collaborate with firmware, cloud, and QA teams to support large-scale simulation and testing.

Develop and maintain Canvas frontend applications using React and TypeScript. Build reusable components, integrate with REST APIs, improve performance and UI consistency, write unit tests, participate in code reviews, CI/CD, and support production. Collaborate with designers, QA, and cross-functional teams to deliver scalable, accessible web experiences.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

As a Software Engineer, you will design and implement scalable infrastructure systems for AI-powered security solutions, optimize performance, and improve deployment practices across cloud environments.