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About the Role
The Risk Tech engineering organization is committed to reducing accident frequency, saving lives, and managing costs to enhance safety and affordability. This role offers the opportunity to define a leading claims management system for the industry, establishing a single, Unified Risk Platform for efficient claims administration, consolidated communications, and data-driven insights. This enables cost-efficient claims operations, mitigates risks as Lyft scales, and ensures proactive and accurate assistance. We are seeking a Senior Software Engineer to contribute to technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System.
Responsibilities
- Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders.
- Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams.
- Understand claim handling workflows, identify bottlenecks and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions.
- Deliver scalable, reliable, high quality and well-tested solutions and code.
- Collaborate closely with Lyft internal teams and external insurance partners to ensure technical alignment and scalable integrations.
- Lead code reviews, design reviews, production on-call support and incident triaging process.
- Invest in the engineering community through knowledge sharing via brown bags, tech talks, and suggesting improvements to team processes and engineering practices.
Requirements
- B.S., M.S. in Computer Science or related technical field or relevant work experience.
- 6+ years of professional experience building scalable distributed systems with high availability, observability and reliability requirements.
- Proven ability to build end-to-end products and platforms, collaborating effectively with various stakeholders e.g. Backend, Frontend, Data Engineering, Data Science, Claim Operations, and Product teams.
- Strong ability to reason about tradeoffs in system design, architecture, domain modeling, and operational cost.
- Experience developing AI features using multimodal LLMs, RAG pipelines, agentic workflows, and other relevant AI frameworks.
- Experience driving AI adoption or AI automation tools to enhance development efficiency.
- Experience improving performance with robust evals, agent tracing tools, fine-tuning LLMs, optimizing RAG pipelines and implementing feedback loops.
- Proficiency in Python.
- Knowledge of React/Next.js and data analysis is a plus.
- Experience with data processing frameworks and tools like Spark, Kafka, Airflow and cloud provisioning environments etc.
- Strong oral and written interpersonal skills.
- Prior experience in insurance, claims management, workflow orchestration or external vendors is a strong plus.
- Has knowledge about AI safety and alignment considerations.
- Background in machine learning, NLP, or related fields.
- Experience with A/B testing and experimentation frameworks.
Skills
- Python
- React/Next.js
- Data analysis
- Spark
- Kafka
- Airflow
- Cloud provisioning
- AI features
- Multimodal LLMs
- RAG pipelines
- Agentic workflows
- AI automation
- AI safety
- AI alignment
- Machine learning
- NLP
- A/B testing
- Experimentation frameworks
Location
- San Francisco area
Work Type
- Hybrid
- In-office (3 days per week)
- Remote (up to 4 weeks per year)
Experience Level
- Senior
Education Level
- B.S., M.S. in Computer Science or related technical field or relevant work experience.
Salary/Compensations
- $148,000 - $185,000
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 to help save for your future
- Discretionary paid time off (salaried team members)
- 15 days paid time off (hourly team members)
- 18 weeks of paid parental leave
- Subsidized commuter benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
About the Company
- Lyft's purpose is to serve and connect.
- Lyft highly values having employees working in-office to foster a collaborative work environment and company culture.
Equal Opportunity
- Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.