Full - stack engineer building Cohere’s enterprise AI dashboard for model access, API keys, teams, billing, and documentation. Developing resilient browser and server systems with Next.js, React, TypeScript, Python, and SQL.
About the role
- Senior Software Engineer building LLM infrastructure and AI foundations for Relay’s digital banking platform. Exploring emerging technologies and enabling product teams to ship AI workflows safely.
Responsibilities
- Build and deploy secure, reusable LLM systems for differentiated product experiences
- Own AI infrastructure across its full lifecycle, from design through deployment and monitoring
- Lead exploratory initiatives evaluating and validating emerging technologies
- Produce recommendations on whether and how Relay should adopt evaluated technologies
- Provide tooling, patterns, and guidance to enable teams to ship AI workflows quickly and safely
- Partner with product teams as an AI technical expert and advise on technical decisions
- Identify technical, process, and product improvements
- Influence technical direction and long-term strategy
- Build technology foundations enabling AI and insights across Relay’s digital banking platform
- Harden infrastructure used by other engineering teams and prototype emerging technologies
- Mentor junior engineers and support team-wide growth and skill development
- Participate in a five-stage interview process including video interviews, live coding, a take-home system design challenge, and an in-person leadership interview
Requirements
- 3+ years of full-stack software engineering experience
- Experience leading significant components or features with minimal oversight
- Ability to move between exploratory prototypes and production-ready systems
- Strong judgment in evaluating emerging technologies
- Experience mentoring junior engineers
- Ability to drive code quality, performance optimization, and development-process improvements
- Curiosity about new frameworks, best practices, and emerging technologies
- Comfort working in fast-paced, dynamic environments with ambiguity and change
- Collaborative approach and willingness to give and receive feedback
- End-to-end ownership and creative problem solving
- Agentic AI experience is a plus
- Startup or high-growth technology company experience is a bonus
- Hands-on LLM experience, including self-hosting or serving open models, retrieval systems, evaluation, or agentic workflows, is a bonus
- Experience building platforms or shared services for engineering teams is a bonus
- JavaScript experience is a bonus; primary technologies include TypeScript, React, and Node.js
- AWS experience with ECS, S3, RDS, DynamoDB, Lambda, and continuous deployment pipelines is a bonus
- Ability to join the Toronto office three days a week (Tuesday, Wednesday, and Thursday)
- Legally authorized to work in Canada
- Must address current or future sponsorship requirements to work in Canada
Benefits
- Compensation growth tied to impact, not limited to an annual review cycle
- Candidate Hub with information on perks and benefits
- Accommodations available at any stage of the hiring process
- Background check and employment verification through Certn as a condition of employment
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