Software Engineer, AI Entities

San Francisco (hybrid)

EvenUp

A unified platform to provide rich insights, AI workflow automation, and best-in-class document creation for personal injury law firms.

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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.

We’re looking to bring on software engineers focused on our AI platform services. This team is responsible for the data ingestion, indexing and search quality of EvenUp case data. Every month, we process thousands of Personal Injury cases and millions of medical documents and need to extract accurate data for our organization and downstream teams. We’re building the foundation of a source of truth dataset through which various services will depend on. We leverage cutting edge AI tools and technology and we’re looking to expand and scale our capacity to identify and surface all critical datapoints within a case.

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'll do:

  • Build and expand on the foundations of our document extraction pipeline. Leverage LLMs & AI tooling to identify accurate data across files and cases.

  • Design and develop modularized services to increase the capabilities and scope of data infrastructure and how we surface core data entities for downstream teams.

  • Collaborate with our DS team to integrate ML models into our production workflows and simplify ML deployment and observability.

  • Implement event driven, low latency systems to empower our stakeholders with accurate and reliable data

  • Analyze and solve key performance bottlenecks, scaling challenges, and high availability issues.

  • Help grow our engineering team and define a “data first” mentality across our organization.

What we look for:

  • 8+ years of industry experience designing and building distributed data systems

  • Previous experience architecting and scaling event driven architectures

  • Strong understanding and practical experience with data pipeline tooling and storage systems such as Post, Dagster, BigQuery, Elasticsearch.

  • The ability to communicate cross-functionally with various stakeholders to derive requirements and architect scalable solutions.

  • Have several years of industry experience building high-quality software, shipping production-ready code and infrastructure.

  • You enjoy owning a project from start to finish and love to drive a project across the finish line.

  • Interest in making the world a fairer place (we don’t get paid unless we’re helping injured victims and/or their attorneys).

Nice to haves:

  • Fluency in Python, SQL and GraphQL

  • Previous experience integrating ML models and LLMs into data services.

  • Domain expertise in legal technology, medical records, and working with unstructured data.

#LI-Hybrid

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 (https://jobs.ashbyhq.com/evenup) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com or @evenup.ai, 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, Los Angeles, 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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture BigQuery Dagster Elasticsearch Engineering Generative AI GraphQL LLMs Machine Learning ML models Python SQL Unstructured data

Perks/benefits: Career development Flex hours Flex vacation Health care Home office stipend Insurance Medical leave Paid sabbatical Parental leave

Regions: Remote/Anywhere North America
Country: United States

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