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Lyft

Software Engineer, AI Entries

Toronto, ON, Canada

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Job details

Experience: 3+ years of software engineering/production infrastructure industry experience.
Posting language: English
Posted: Oct 29, 2026

Original job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

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.

Responsibilities:

Establish engineering best practices and patterns; 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
Produce and drive scalable system design for large, complex features - from idea through execution and launch
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; identify, triage, debug, and resolve issues across our applications and platforms
Have the ability to explain the various trade offs made in decisions
Manage project priorities, deadlines, and deliverables.

Experience:

BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience.
3+ 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.
Ability to work with a low-ego, highly collaborative, and cross-functional team.
Bonus points: Experience with LLM orchestration (LangChain, etc.), Vector Databases, or building APIs for conversational agents.

Benefits:

Extended health and dental coverage options, along with life insurance and disability benefits
Mental health benefits
Family building benefits
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 is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. 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. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

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. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

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More about this job

Responsibilities

You will build foundational infrastructure to connect Lyft to emerging AI ecosystems and architect APIs for third-party agents. Additionally, you will mentor team members, drive high-impact projects, and ensure engineering excellence through best practices and code reviews.

Requirements

Candidates must have a BS/MS in Computer Science or a related field and at least 3 years of software engineering experience. Proficiency in Python, Go, cloud platforms, and distributed systems is required.

Skills

Python
Go
Cloud platforms
AWS
GCP
Azure
Distributed systems
PostgreSQL
DynamoDB
AI tools
Object-oriented programming
Data structures
Algorithms
LLM orchestration
Vector databases
API development

Benefits

Extended health and dental coverage
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care benefits
Pet benefits
Health Care Savings Account
RRSP plan with company match
Flexible paid time off
Paid parental leave
Subsidized commuter benefits
Lyft ride credits

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
Applied AI
Backend Engineer
Infrastructure
API
Orchestration
Multimodal interfaces
System design
Python
Go
AWS
GCP
Azure
PostgreSQL
DynamoDB
Copilot
Claude Code
Cursor
Object-oriented programming
Data structures
Algorithms
LLM orchestration
LangChain
Vector Databases
Conversational agents
Distributed systems
Engineering excellence
Hybrid work
Software development
AI ecosystems

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