AI Software Engineer

Snowflake

. Design, develop, and ship AI-powered features and services across model inference, AI functions, retrieval systems, and intelligent application experiences .

Posted 10/13/2026full-timeToronto • CanadaMid-LevelSenior💰 CA$146,000 - CA$219,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing AI-powered features and services, with a strong foundation in software engineering principles and experience in building scalable, production-quality systems. Proficient in collaborating with cross-functional teams to translate AI research into practical engineering solutions while ensuring quality and operational excellence.

Highest-signal resume keywords

AI/ML Systems ExperienceProficiency in Python, Java, C++, or GoDistributed Systems DevelopmentMulti-Cloud Infrastructure UnderstandingCI/CD Pipeline Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringModel ServingInference PipelinesData StructuresAlgorithmsDistributed SystemsAI-Powered Application FeaturesLLM IntegrationEmbedding SystemsAutomated Testing

Soft Skills

Problem-Solving SkillsClear CommunicationOwnership of WorkCollaborationContinuous Improvement

Tools & Technologies

AWSAzureGCPDockerKubernetesPyTorchTensorFlowCI/CD ToolsProduction MonitoringObservability Tools

Industry Keywords

AI ServicesData PlatformsData WarehousingSQL-Based SystemsOpen-Source ContributionsResearch PublicationsRAG ArchitecturesVector SearchProduction ScaleOperational Health

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJavaKubernetesPythonPyTorchSQLTensorflowC++Go

About the role

Key responsibilities & impact

Design, develop, and ship AI-powered features and services across model inference, AI functions, retrieval systems, and intelligent application experiences
Build production-quality infrastructure for AI workloads, including model serving, embedding pipelines, retrieval-augmented generation, and AI-driven automation
Write clean, performant, and well-tested code in Python, Java, C++, or Go
Contribute to systems operating at enterprise scale across Snowflake's multi-cloud infrastructure
Collaborate with ML researchers, senior engineers, and product managers to translate AI research and product requirements into scalable engineering solutions
Participate in design reviews and propose architectural improvements
Help shape the technical direction of AI services
Own work end-to-end from design and implementation through testing, deployment, monitoring, and operational health
Evaluate new AI/ML techniques, models, and tools for applicability to Snowflake's platform and customer needs
Contribute through code reviews, documentation, knowledge sharing, and continuous improvement of team practices

Requirements

What you’ll need

3+ years of software engineering experience building production systems
Strong foundation in computer science fundamentals, including data structures, algorithms, and distributed systems
Experience with AI/ML systems in a production environment, including model serving, inference pipelines, LLM integration, embedding systems, or AI-powered application features
Proficiency in one or more of Python, Java, C++, or Go
Experience building distributed systems or cloud-native services
Understanding of scale, reliability, and performance in a multi-cloud environment
Strong problem-solving skills
Ability to break down ambiguous problems into clear engineering tasks
Ability to work effectively with engineers, researchers, and product managers
Clear communication of ideas
Ownership of work from design through production
Care about quality, reliability, and operational excellence
Experience with LLM inference, fine-tuning, RAG architectures, or vector search at production scale preferred
Familiarity with ML frameworks such as PyTorch or TensorFlow preferred
Experience with AWS, Azure, or GCP and Docker or Kubernetes preferred
Background in data platforms, data warehousing, or SQL-based systems preferred
Experience with CI/CD pipelines, automated testing, and production monitoring/observability preferred
Contributions to open-source AI/ML projects or published research in AI/ML preferred

Benefits

Comp & perks

Annual bonus target of 10% of base salary
Equity (RSUs) valued at $170,000–$500,000 USD
Extended health benefits
Dental benefits
Vision benefits
RRSP
ESPP
Generous paid time off
Parental leave
Comprehensive benefits package
Meaningful equity