03 Oct
|
Cloudjobs
|
Toronto
Full Time Senior Software Engineer, AI Entries Lyft ~ Technologies AWS Python At Lyft, our purpose is to serve and connect. Lyft is looking for software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched.
As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. The Applied AI team is looking for a Backend Engineer to join the AI Entries team. You will build the foundational infrastructure that connects Lyft to emerging AI ecosystems and devices and architect the APIs and orchestration layers that allow third-party agents and multimodal interfaces to interact with Lyft.
By building these robust integration, you will help make Lyft available where our riders are. help uplift the team's craft and drive a culture of engineering excellence Drive high-impact projects and innovate new solutions to deliver the best user experience Mentor engineers on the team, providing technical guidance and supporting their growth Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and share knowledge across the team Participate in the team's on-call rotation; Manage project priorities, deadlines, and deliverables BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience. ~5+ years of software engineering/production infrastructure industry experience. ~ Experience with Python and Go. ~ Experience with cloud platforms (AWS, GCP, or Azure), distributed systems, and databases such as PostgreSQL or DynamoDB ~ Proficient and effective in using AI tools (e.g. Copilot, Claude Code, Cursor) to accelerate coding and engineering workflows ~ Proficiency in object-oriented programming.
~ Experience working with data structures or algorithms. ~ Bonus points: Vector Databases, or building APIs for conversational agents. Extended health and dental coverage options, along with life insurance and disability benefits Family building perks Child care and pet benefits Access to a Lyft funded Health Care Savings Account RRSP plan with company match to help save for your future In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy.
The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role.
Your recruiter can share more information about the various in-office perks Lyft offers. The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or benefits. Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
📌 Senior Software Engineer, AI Entries (Toronto)
🏢 Cloudjobs
📍 Toronto