Lyft · 9 hours ago
Software Engineer, Developer Experience - AI
Toronto, Canada
Full-time
Hybrid
Mid Level
3+ years expLyft is committed to serving and connecting people, and they are seeking a Software Engineer on the AI Infrastructure & Developer Experience team. The role involves designing and building foundational infrastructure for AI development, enhancing developer workflows, and collaborating across teams to democratize AI capabilities.
AppsMobile AppsRide SharingSoftwareTaxi ServiceTransportation
Responsibilities
Design, build, and maintain AI infrastructure platforms including LLM gateways, prompt management systems, vector databases, and agent orchestration frameworks
Build intelligent agents and AI-powered automation to enhance developer workflows across the software development lifecycle (code generation, testing, review, documentation, incident response)
Develop centralized automation workflow services and tools focused on an easy to use, streamlined, and user friendly UI experience
Implement observability, monitoring, and cost management systems for AI infrastructure and LLM usage across the organization
Plan and execute high-level cross-team AI infrastructure projects from inception to delivery, including model evaluation pipelines and AI safety guardrails
Partner with ML Platform, Infrastructure, and product engineering teams to understand AI use cases, debug integration issues, and design scalable AI solutions
Establish best practices and golden paths for LLM integration, prompt engineering, RAG implementations, and agent development
Write well-crafted, well-tested, readable, and maintainable code for AI infrastructure components
Lead incident responses for AI infrastructure issues, mentor the team on operational best practices, and implement long-term systemic fixes
Build internal tooling for prompt testing, model comparison, AI performance benchmarking, and cost optimization
Participate in the team's on-call rotations for AI infrastructure systems
Mentor engineers across the organization on AI infrastructure best practices and responsible AI development
Qualification
Required
Bachelor's degree in Computer Science or a related field, or equivalent experience
3+ years of experience in software development, distributed systems, and infrastructure engineering
Experience building or integrating with AI/ML systems, LLM APIs (OpenAI, Anthropic, etc.), or AI infrastructure platforms
Strong understanding of LLM capabilities, limitations, prompt engineering, and AI safety considerations
Experience with API design, SDK development, and building developer-facing platforms or frameworks
Proficiency in Python and/or Go for building scalable AI infrastructure and tooling
Experience with Kubernetes, containerization, and cloud infrastructure at scale
Familiarity with vector databases, using embedding models, and RAG architectures
Proven ability to design and build robust, scalable infrastructure components
Experience with observability tools, distributed tracing, and monitoring systems
Ability to write clear technical documentation and design specifications for AI systems
Preferred
Experience building AI agents, multi-agent systems, or agentic workflows
Hands-on experience with agent frameworks (LangChain, LangGraph, ReAct, etc.) or building custom orchestration systems
Experience with fine-tuning, model evaluation, or AI practices
Familiar with front-end frameworks and UI design
Background in developer experience, developer tools, or platform engineering
Experience implementing AI safety measures, content filtering, or guardrails
Contributions to open-source AI infrastructure projects
Experience with cost optimization strategies for LLM usage at scale
Knowledge of responsible AI practices, bias mitigation, and AI governance
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 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
Company
Lyft
Lyft is a leading ride-hailing service offering car rentals, bike, and scooter-sharing through its mobile app for convenient transportation.
5001-10000 employees
Funding
Current Stage
Public CompanyTotal Funding
$5.76BKey Investors
FidelityMagna InternationalCapitalG,Rakuten
2025-09-03Post Ipo Debt· $450M
2024-02-21Post Ipo Debt· $400M
2021-02-01Post Ipo Equity
Leadership Team
David Risher
Chief Executive Officer
Erin Brewer
Chief Financial Officer
Recent News
2026-02-07
2026-02-06
2026-02-05
Company data provided by crunchbase