Senior Software Engineer, AI Entries

Socotra, Inc.; Toronto; On-site; CAD 136,000 - 170,000; Full time

Benefits offered by this job

Extended health and dental coverage

Life insurance

Disability benefits

Mental health benefits

Family building benefits

Child care and pet benefits

Lyft Health Care Savings Account

RRSP plan with company match

Flexible paid time off

Paid parental leave (18 weeks)

Subsidized commuter benefits

Lyft ride credits

Job summary

Lyft is seeking a Backend Engineer to join the Applied AI team’s AI Entries group. You will build infrastructure connecting Lyft to AI ecosystems, architect APIs and orchestration layers for third-party agents, and enable multimodal interfaces to interact with Lyft.

You will mentor engineers, design scalable systems, and collaborate across product, data science, analytics, and operations to deliver robust features for riders and drivers.

Qualifications

• BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience.
• 5+ years of software engineering/production infrastructure 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 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: Experience with LangChain, Vector Databases, or APIs for conversational agents.

Responsibilities

• Establish engineering best practices and patterns; uplift the team's craft and drive a culture of engineering excellence.
• Drive high-impact projects and deliver innovative solutions for the best user experience.
• Produce and drive scalable system design for large features from idea through launch.
• Mentor engineers on the team, providing technical guidance and growth support.
• 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; triage, debug, and resolve issues across applications and platforms.
• Explain trade-offs made in decisions.
• Manage project priorities, deadlines, and deliverables.

Skills

Python

Go

Cloud platforms

PostgreSQL

DynamoDB

OOP programming

Data structures & algorithms

AI tooling

LangChain

APIs for conversational agents

Education

BS/MS in Computer Engineering/CS or related field

Tools

LangChain

Vector Databases

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.
• 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.
• 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 $136,000 - CAD $170,000, 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.