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Staff Software Engineer, AI Platform
Staff Software Engineer, AI PlatformEvenUp • San Francisco, CA, United States
Staff Software Engineer, AI Platform

Staff Software Engineer, AI Platform

EvenUp • San Francisco, CA, United States
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  • [job_card.full_time]
[job_card.job_description]

EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.

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 ( ) or reputable job boards like our official 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.

If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com . Examples of fraudulent email domains include “ careers-evenuplaw.com ” and “ careers-evenuplaws.com ”.

Benefits & Perks :

Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer :

Choice of medical, dental, and vision insurance plans for you and your family

Flexible paid time off

10 US observed holidays, and Canadian statutory holidays by province

A home office stipend

401(k) for US-based employees

Paid parental leave

Sabbatical program

A meet-up program to get together in person with colleagues in your area

Offices in San Francisco and Toronto

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

About EvenUp :

EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com .

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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