EvenUp
Staff Software Engineer, AI Platform
Toronto (hybrid) · Staff+ · Full-time
Sponsorship not specifiedDetected 203 days ago
PythonJavaGoNode.jsDistributed SystemsPostgreSQLElasticsearchKubernetesMachine LearningLLMsAccessibilityCommunicationCollaborationMentoring
About the role
- We empower personal injury lawyers and victims to get the justice they deserve.
- What makes this team unique is its deeply technical, multi-disciplinary collaboration between Data Scientists, ML Researchers, and Software Engineers, all working together to bring AI systems into production at scale.
- This is a hybrid role, with an expectation of being in our Toronto office three days per week.
Responsibilities
- Execution & Delivery: Build, ship, and iterate on backend systems that support production-grade LLM applications. Deliver high-quality, maintainable code using a modern tech stack (e.g., Python, Postgres, Kubernetes, Elasticsearch).
- Architecture & Quality: Lead the architecture and design of resilient, scalable distributed systems. Establish and uphold best practices around system design, performance, observability, and reliability.
- Cross-Functional Collaboration: Work closely with Product, ML, Data, and Infrastructure teams to scope, design, and deliver impactful solutions. Translate high-level product needs into clear technical plans and execution paths.
- Ownership & Growth: Own projects end-to-end-from early design through deployment and continuous iteration.
- Strong experience building and scaling backend systems, platforms, or infrastructure.
- Proven ability to lead complex technical initiatives across teams or domains.
- Deep understanding of distributed systems, system design, and technical tradeoff analysis.
- Own and evolve core backend systems and platforms that enable LLM-powered products at scale.
- Drive the technical direction of complex, high-impact initiatives with significant ambiguity.
- Partner closely with Product, ML, and Infrastructure teams to translate abstract requirements into robust engineering solutions.
Nice to have
- Experience working with AI/ML systems or LLM-powered applications.
- Exposure to AI platforms, developer enablement tooling, or ML-heavy environments.
- Background in legal tech, mission-driven products, or social-impact engineering.
- Prior startup or scale-up experience.
Skills
- Mentor engineers and act as a force multiplier across the organization.
- Evaluate and introduce new tools and technologies to continuously improve platform capabilities.
Benefits
- Choice of medical, dental, and vision insurance plans for you and your family.
- Additional insurance coverage options for life, accident, or critical illness.
- Flexible paid time off, sick leave, short-term and long-term disability.
- A home office stipend.
- Paid parental leave.
- As part of our total rewards package, we offer attractive benefits and perks to our employees, including:
- Please note the above benefits & perks are for full-time employees
- We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
- Bonus (Nice to have):
Equal opportunity
- equal opportunity employer.
- We are committed to diversity and inclusion in our company.
This listing is sourced directly from EvenUp's careers page and normalized into a canonical job model.