Software Engineer, AI Entries
Required skills
- AI Entries
- Backend Engineer
- AI ecosystems
- AI tools
- Copilot
- Claude Code
- Cursor
- production infrastructure
- scalable system design
- code reviews
Nice to have
- LLM orchestration
- LangChain
- Vector Databases
- conversational agents
Role summary
Lyft is seeking a Backend Engineer for its AI Entries team to build foundational infrastructure connecting Lyft to emerging AI ecosystems and devices. The role involves architecting APIs and orchestration layers for third-party agents and multimodal interfaces. Responsibilities include establishing engineering best practices, driving high-impact projects, designing scalable systems, mentoring engineers, writing high-quality code, participating in code reviews and on-call rotations, and managing project deliverables. The ideal candidate has 3+ years of experience with Python, Go, cloud platforms (AWS, GCP, Azure), distributed systems, and databases like PostgreSQL or DynamoDB, along with proficiency in object-oriented programming and AI coding tools.
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:
Experience:
Benefits:
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.
Similar roles
- Growth Marketing Manager, LifecycleLyft · Toronto, ON · Hybrid
- Senior Actuarial AnalystLyft · Remote · Remote
Software Engineer IIPariveda · Dallas, TX · Hybrid- Senior Software Engineer, DatabaseInfluxData · Remote · Remote
- Software Engineering Intern, Frontend (Summer 2027)Notion · New York, NY · Hybrid
Lead Software Engineer - Enterprise AI Services & AgentsWellmark Blue Cross and Blue Shield · Des Moines, IA · Hybrid
