Senior Software Engineer, Self-Serve Intelligence
Confirmed live in the last 24 hours
Lyft
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.
Every day, millions of riders and drivers depend on Lyft — and when something goes wrong, we want to make it right as fast as possible. The Self-Serve Intelligence team within Safety & Customer Care org is building the AI-powered systems that do exactly that: resolving rider and driver suboptimal experiences without agent involvement through intelligent solutions in AI Assist (e.g. AI Agents), automations, and self-serve workflows. We're building backend systems, APIs, and AI-powered products that fundamentally rethink how customers get help — combining robust engineering with GenAI to deliver reliable, scalable self-serve experiences.
As a Senior Software Engineer on the Self-Serve Intelligence team, you will design, build, ship, and maintain backend services and AI-powered products (e.g. various AI Agents) that autonomously resolve customer suboptimal experiences. You'll own the full lifecycle — from system design and prototyping through production deployment and operational excellence — partnering with product, design, data science, and operations to deliver high-quality, reliable solutions at scale.
Responsibilities:
- Design, build, ship, and maintain scalable backend services and GenAI-powered products (e.g. AI Agents) that resolve rider and driver suboptimal experiences autonomously
- Develop robust evaluation frameworks to measure and improve the quality and impact of GenAI-driven customer experiences
- Lead projects from idea to production, owning end-to-end system design, implementation, and operational health
- Write well-crafted, well-tested, readable, maintainable code
- Design and evolve APIs, data models, and service architectures that support rapid product iteration
- Rapidly adopt and integrate emerging AI capabilities to accelerate development velocity across the team
- Incorporate considerations for edge cases, failure modes, and business context into system design
- Participate in code and architecture reviews to ensure quality and distribute knowledge
- Own system reliability — monitor, debug, and improve service health, latency, and availability
- Proactively participate in resolving ongoing incidents
- Unblock, support, and effectively communicate across teams to achieve results
- Share your knowledge by giving brown bags, tech talks, and evangelizing engineering and AI best practices
Experience:
- 5+ years of software engineering industry experience
- Strong backend engineering fundamentals — designing, building, and operating distributed systems and microservices in production
- Hands-on experience with LLMs, agentic workflows, or building AI Agents — we value depth of AI experience and treat it as a strong differentiator
- Track record of building, evaluating, and shipping GenAI or ML-powered products
- Experience defining API schemas and developing backend services in a microservices environment
- When facing an ambiguous problem or outside your expertise, you can quickly learn what you need to dig in, make sense of it, and start working toward a solution
- You're a great communicator who can advocate for your proposals while empathizing with your teammates' goals and priorities
- You have a history of going out of your way to help your fellow engineers be more productive
It would be a huge plus to have:
- Strong proficiency in Python
- Experience with AI agent frameworks, prompt engineering, or model evaluation pipelines
Benefits:
- Great medical, dental, and vision insurance options with additional programs available when enrolled
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan with company match to help save for your future
- In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Subsidized com
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