E
Evenup

Staff Software Engineer - AI Platform

Remote
Full-time
San Francisco (...
2 weeks ago

Job Overview

Actively Hiring
E

Evenup

View all remote opportunities

Job Type

100% Remote

Work from anywhere

Employment Type

Full-time

Flexible schedule

Location Preference

San Francisco (hybrid), Toronto (hybrid)

Preferred time zones

Experience Level

Senior

Required experience

Job Categories

Software Engineering Data Science & AI

Job Description

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 are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.

Our AI Platform team is looking for backend-focused Software Engineers who will join us in our mission to make LLMs more accessible and mainstream to the rest of our engineering teams. The team has already built and released some of the best legal industry large language models that extract and summarize data from documents our clients provide. This person will join a multi-disciplinary team of Data Scientists, Researchers and Software Engineers whose day-to-day work lies at the intersection of programming, LLM integration, and iterative experimentation. This is a great opportunity for someone looking to take on complex engineering challenges in the field of generative AI and leverage the power of technology to bring fairness and accessibility to the legal system.

This is a hybrid role with 3 days per week spent collaborating with the team in the office. We are open to applicants located in either the San Francisco Bay Area or the Greater Toronto Area.

What you will do:

  • Deliver high-quality, maintainable code using a modern tech stack (e.g., Python, Postgres, Kubernetes, Elasticsearch) while introducing and evaluating new tools and technologies as appropriate.

  • Lead the architecture, design, and delivery of resilient, scalable systems and infrastructure that power production-grade applications including those based on large language models.

  • Set technical direction for complex projects with significant ambiguity, owning outcomes end-to-end from inception to deployment and iterative improvement.

  • Act as a force multiplier—mentoring engineers, setting engineering best practices, and elevating the technical bar across the organization.

  • Partner cross-functionally with Product, ML, and Infrastructure teams to translate abstract or high-level product needs into robust engineering solutions.

  • Influence platform and infrastructure roadmaps with a long-term view of scalability, maintainability, and developer velocity.

What we're looking for:

  • 10+ years of software engineering experience, including at least 2 years in a Staff or equivalent senior technical leadership role.

  • Deep expertise in building and scaling distributed systems, frameworks, and internal platforms with a focus on reliability, observability, and performance.

  • Proven experience in driving complex technical initiatives across teams or domains, with strong system design skills and clear tradeoff thinking.

  • High standards for code quality, system design, and software architecture—along with a track record of mentoring others to meet those standards.

  • Strong proficiency in Python and/or experience in additional languages such as NodeJS, GoLang, Java or C++.

  • Clear, structured communication and the ability to influence stakeholders across engineering and product functions.

  • Experience working in fast-paced, high-growth environments—ideally in startups or early-stage companies.

Bonus experience:

  • Experience in AI/ML systems, legal tech, or mission-driven, social impact-oriented engineering work.

  • Prior work with LLM-powered systems, AI platforms, or developer enablement tooling in ML-heavy environments.

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 (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com or no-reply@ashbyhq.com email address.

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-ops-team@evenuplaw.com. Examples of fraudulent domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”.

Benefits & Perks:

As part of our total rewards package, we offer attractive benefits and perks to our employees, including:

  • 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 US observed holidays, and Canadian statutory holidays by province

  • A home office stipend

  • 401(k) for US-based employees and RRSP for Canada-based employees

  • Paid parental leave

  • A local in-person meet-up program

  • Hubs in San Francisco and Toronto

Please note the above benefits & perks are for full-time employees

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.

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