Full-Time
Software Engineer
AI Use Cases & Solutions
Posted on 10/31/2025
Shakudo
11-50 employees
Data stack operating system for AI
No salary listed
Toronto, ON, Canada
In Person
Onsite in Toronto; role requires in-office presence for collaboration and delivery.
 Software Engineering (1) |
|---|
- Technologies: Python, TypeScript, Kubernetes, PostgreSQL, MongoDB, Redis, Neo4j
- AI/ML application experience, ideally with production deployments that solve real problems
- Impact-driven engineer with taste for elegant AI solutions that create measurable business value
- Eagerness to learn AI application architecture for systems that customers depend on
- Comfort with ambiguity; turn unknown AI requirements into solutions that work in the real world
- Strong analytical mindset and eagerness to solve complex problems with AI solutions that matter
- Curiosity for emerging AI frameworks and passion for pushing the boundaries of what's possible
- Build and own cutting-edge AI applications and solutions end-to-end—from design and implementation to customer delivery and iteration
- Create production systems that solve real business problems using the most advanced AI tools available
- Work side-by-side with customers to transform ambiguous business challenges into concrete AI solutions using best-in-breed open source tools, then contribute learnings back to our core platform
- You'll own these innovations from concept to production, working directly with customers to measure real business impact
- AI application architecture that defines how enterprises leverage AI at scale
- A suite of AI applications that solve real customer problems from 0→1 to 1→n
- AI solution quality bars for systems where accuracy and reliability are critical
- AI development excellence that sets the standard for enterprise AI applications
- Product direction based on direct customer feedback and real-world AI impact
- Your expertise in cutting-edge AI as you master the latest frameworks and solve diverse challenges
Shakudo provides an operating system for data and artificial intelligence stacks that helps teams build, deploy, and manage AI products. The platform works by automating DevOps tasks and integrating over 170 different open-source and commercial tools into a single environment that can be self-hosted for better data security. It distinguishes itself from competitors by creating compatibility between many different software tools, which prevents companies from being locked into a single vendor's ecosystem. The company's goal is to reduce engineering overhead and complexity so that data science teams can focus on developing AI solutions more quickly.
Company Size
11-50
Company Stage
Series A
Total Funding
$17M
Headquarters
Toronto, Canada
Founded
2021
Simplify's Take
What believers are saying
- Loblaw reduced AI development cycles from six months to same-day delivery using platform.
- Customer-led Series A2 funding validates product-market fit with CentralReach executives personally investing.
- Sevenfold growth since 2023 Series A attracts strategic investors like Wittington Ventures for expansion.
What critics are saying
- Databricks integrates 170+ tools natively, capturing enterprises with $50B valuation dominance.
- AWS Bedrock sovereign AI controls undercut Shakudo pricing via credits for regulated clients.
- DoD CMMC 3.0 certification delays block non-US platforms from defense contracts entirely.
What makes Shakudo unique
- Self-hosted VPC deployment keeps customer IP within organizational infrastructure, avoiding vendor lock-in.
- Integrates 170+ commercial and open-source tools including generative AI, reducing engineering overhead.
- Autonomous Kaji agents run natively in customer infrastructure for regulated industries like nuclear and healthcare.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Professional Development Budget
Growth & Insights and Company News
6 month growth
↓ -2%1 year growth
↓ -5%2 year growth
↓ -5%Toronto-based Shakudo has raised $7 million USD in a Series A2 round led by Wittington Ventures, the venture arm of the Weston family's holding company that controls Loblaw and Shoppers Drug Mart. The round attracted investment from existing customers, including CentralReach executives who personally backed the company. Founded in 2021, Shakudo provides AI infrastructure software that helps enterprises deploy AI tools securely within their existing systems. Loblaw reportedly reduced its AI development cycles from six months to same-day delivery using Shakudo's platform. The round included participation from Golden Ventures, GreatPoint Ventures, and RTP Global, bringing total funding to approximately $18 million USD. The company has grown sevenfold since its $7.2-million USD Series A in early 2023 and plans to raise a larger Series B within two years.
Shakudo, a platform providing operating systems for enterprise AI, has raised $7 million in a strategic funding round led by Wittington Ventures, a venture capital firm affiliated with Loblaw Companies Limited. The round included participation from existing investors Golden Ventures, GreatPoint Ventures and RTP Global, as well as personal investments from enterprise customers. The San Francisco and Toronto-based company will use the funding to expand its US operations and launch two new products: Kaji, an autonomous AI agent running within customers' Virtual Private Clouds, and Shakudo AI Gateway, a control plane for managing models and agents across organisations. Shakudo's platform deploys natively within customers' infrastructure, ensuring intellectual property remains within the organisation whilst targeting regulated industries including nuclear energy, healthcare and financial services.
Toronto-based Shakudo has secured $9.5 million CAD in Series A funding to help companies launch artificial intelligence products more quickly and cost-effectively.
Toronto-based software startup Shakudo has rebranded from DevSentient, raising $4.2 million CAD in seed funding to expand the reach of its AI platform for data science and ML teams.