Software Engineer - AI Use Cases & Solutions at Shakudo

Toronto, Ontario, Canada

Shakudo Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries

Requirements

  • Proficiency in Python and TypeScript
  • Experience with Kubernetes, PostgreSQL, MongoDB, Redis, Neo4j
  • AI/ML application experience, ideally with production deployments solving real problems
  • Impact-driven engineering with a taste for elegant AI solutions creating measurable business value
  • Eagerness to learn AI application architecture for customer-dependent systems
  • Comfort with ambiguity; ability to turn unknown AI requirements into real-world solutions
  • Strong analytical mindset and eagerness to solve complex problems with AI
  • Curiosity for emerging AI frameworks and passion for pushing boundaries

Responsibilities

  • Build and own cutting-edge AI applications and solutions end-to-end, from design and implementation to customer delivery and iteration
  • Create production systems solving real business problems using advanced AI tools
  • Work side-by-side with customers to transform ambiguous business challenges into concrete AI solutions using best-in-breed open source tools
  • Contribute learnings back to the core Shakudo platform
  • Develop examples like GraphRAG workflows, intelligent agent systems, and end-to-end AI pipelines
  • Own innovations from concept to production, measuring real business impact with customers
  • Help shape AI application architecture for enterprises leveraging AI at scale
  • Develop a suite of AI applications solving customer problems from 0→1 to 1→n
  • Define AI solution quality bars for critical systems

Skills

AI
Machine Learning
Open Source
Software Engineering
Production Systems

Shakudo

End-to-end platform for AI projects

About Shakudo

Shakudo offers a platform designed to support organizations in developing and managing AI and data-intensive products. Their main product, the Hyperplane platform, facilitates the entire workflow of AI projects, from initial ideas to deployment. It automates the optimization of resources, helping teams select the best configurations without the need for complex setups. This makes it easier for data scientists and AI teams to focus on building and maintaining their models efficiently. Shakudo differentiates itself from competitors by providing a subscription-based service with tiered pricing, allowing organizations to choose the level of access that suits their needs. The goal of Shakudo is to simplify the AI development process, enabling organizations to implement their AI projects more quickly and reliably.

Toronto, CanadaHeadquarters
2021Year Founded
$9.8MTotal Funding
SERIES_ACompany Stage
Enterprise Software, AI & Machine LearningIndustries
11-50Employees

Risks

Increased competition from established AI platform providers like DataRobot.
Potential customer resistance due to learning curve and integration challenges.
Rapid AI advancements may outpace Shakudo's platform updates, risking obsolescence.

Differentiation

Shakudo offers a unique compatibility across best-of-breed data tools.
Their Hyperplane platform automates resource optimization for AI projects.
Shakudo provides DevOps-friendly GraphQL APIs for seamless AI solution interaction.

Upsides

Increased demand for AI model interpretability tools enhances Shakudo's platform.
Rise of AI model marketplaces boosts Hyperplane's user engagement and revenue.
Growing trend of federated learning aligns with Shakudo's data stack compatibility.

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