Senior Software Engineer, AI Entries

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.

• →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.

• 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.