Software Engineer, AI at Klue, building LLM - powered agents for workflow automation in Toronto. Collaborating on search retrieval optimization and ML - powered solutions.
About the role
- Software Engineer designing and building a ML and AI native platform for healthcare. Contributing to critical components of the SaaS platform and enhancing user experience.
Responsibilities
- Develop key components of our multi-tenant SaaS platform, including Identity & Access Management, connector provisioning, and infrastructure enhancements to improve speed and service integration.
- Play a key role in the design and implementation of our APIs and data models, ensuring they meet the needs of diverse verticals and support both open/shared and customer-specific datasets effectively.
- Leverage existing foundational models and develop novel ML solutions to solve problems with complex, high dimensional healthcare data
- Build tools and agents to power our natural language analytics that enables rapid discovery of insights with source document traceability.
- Build a world-class user experience into the Midstream platform to provide actionable insights over large data sets.
- Implement and maintain robust security measures, including encryption and role-based access control, while ensuring compliance with standards like SOC 2 and HIPAA
- You will be a member of the founding engineering team working closely with the founders and have the opportunity to make big early impacts on our systems.
Requirements
- Excellent problem-solving skills with a knack for tackling complex technical challenges.
- Strong communication skills, capable of working collaboratively within cross-functional teams and articulating technical concepts to diverse audiences.
- Ability to thrive in a fast-paced environment, with resilience and effective task prioritization.
- Excellent coding abilities in high-level languages such as Python and Typescript
- Knowledge in building scalable SaaS platforms, including API design, CI/CD, multi-tenancy, RBAC
- Strong experience with cloud services (GCP, AWS) and infrastructure as code tools (Kubernetes, Terraform), with the ability to leverage cloud-native services for computing, storage, and ML applications.
- A bachelor's degree in Computer Science, Engineering, or a closely related field OR relevant software engineering experience
Benefits
- Offers Equity
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