Staff Software Engineer, Platform

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4 days ago - Be among the first 25 applicants

This range is provided by EvenUp. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more.

Base pay range

$114,750 / yr - $317,202 / yr

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We're looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at .

Location & Work Model

This is a hybrid role, with an expectation of being in our SF office three days per week.

About the Team

The AI Platform team is responsible for building the foundational systems that make large language models accessible, reliable, and scalable across EvenUp's engineering organization. Sitting at the intersection of backend engineering, ML systems, and platform enablement, this team empowers product and application teams to safely and efficiently leverage LLMs in production. The team has already built and deployed industry leading legal AI models that extract, structure, and summarize complex documents used by clients every day. Their work directly powers EvenUp's ability to deliver faster, higher quality outcomes for injury victims-bringing greater fairness, accessibility, and leverage to an otherwise opaque legal system.

What makes this team unique is its deeply technical, multi disciplinary collaboration between Data Scientists, ML Researchers, and Software Engineers, all working together to bring AI systems into production at scale. The team is focused on building reliable, production grade AI platforms-not one off experiments-ensuring that LLM powered systems are robust, scalable, and safe to operate. By creating shared infrastructure and tooling, the AI Platform team has a high leverage impact across the entire engineering organization, enabling teams to move faster while maintaining high standards for quality and reliability.

Responsibilities

• Own and evolve core backend systems and platforms that enable LLM powered products at scale.
• Drive the technical direction of complex, high impact initiatives with significant ambiguity.
• Partner closely with Product, ML, and Infrastructure teams to translate abstract requirements into robust engineering solutions.
• Design and deliver scalable, reliable, and maintainable systems that power production grade AI applications.
• Raise the technical bar through mentorship, best practices, and architectural leadership.
• Influence long term platform and infrastructure roadmaps with a focus on scalability, maintainability, and developer velocity.

What You'll Do

• Execution & Delivery: Build, ship, and iterate on backend systems that support production grade LLM applications. Deliver high quality, maintainable code using a modern tech stack (e.g., Python, Postgres, Kubernetes, Elasticsearch).
• Architecture & Quality: Lead the architecture and design of resilient, scalable distributed systems. Establish and uphold best practices around system design, performance, observability, and reliability.
• Cross Functional Collaboration: Work closely with Product, ML, Data, and Infrastructure teams to scope, design, and deliver impactful solutions. Translate high level product needs into clear technical plans and execution paths.
• Ownership & Growth: Own projects end to end-from early design through deployment and continuous iteration. Mentor engineers and act as a force multiplier across the organization. Evaluate and introduce new tools and technologies to continuously improve platform capabilities.

What We Look For

• Strong experience building and scaling backend systems, platforms, or infrastructure.
• Proven ability to lead complex technical initiatives across teams or domains.
• Deep understanding of distributed systems, system design, and technical trade off analysis.
• High standards for code quality, architecture, and long term maintainability.
• Proficiency in Python, with experience in additional languages such as NodeJS, Go, Java, or C++.
• Clear, structured communication and the ability to influence cross functional stakeholders.
• Comfort operating in fast paced, high growth, and ambiguous environments.
• A strong sense of ownership, accountability, and technical leadership.

Bonus (Nice to Have)

• Experience working with AI/ML systems or LLM powered applications.
• Exposure to AI platforms, developer enablement tooling, or ML heavy environments.
• Background in legal tech, mission driven products, or social impact engineering.
• Prior startup or scale up experience.

Notice to Candidates

EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page () or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the no or no email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page.

If you receive communication from someone you believe is impersonating EvenUp, please report it to us at talent . Examples of fraudulent domains include "careers " and "careers ".

Benefits & Perks

• Choice of medical, dental, and vision insurance plans for you and your family.
• Additional insurance coverage options for life, accident, or critical illness.
• Flexible paid time off, sick leave, short term and long term disability.
• 10 U.S. observed holidays, and Canadian statutory holidays by province.
• A home office stipend.
• 401(k) for U.S.-based employees and RRSP for Canada-based employees.
• Paid parental leave.
• A local in person meet up program.
• Hubs in San Francisco and Toronto.

EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Seniority Level

Mid Senior level

Employment Type

Full time

Job Function

Engineering and Information Technology

Industries

Technology, Information and Internet