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Staff Software Engineer, AI Entities

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 staff 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, Los Angeles 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, @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, 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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Average salary estimate

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What You Should Know About Staff Software Engineer, AI Entities, EvenUp

At EvenUp, one of the fastest-growing generative AI startups, we’re on a mission to make a real difference for personal injury victims. We’re looking for a talented Staff Software Engineer focused on our AI Entities to join our innovative team in San Francisco. In this role, you will be at the forefront of our journey to empower law firms to deliver faster settlements and better case outcomes. You’ll work on the data ingestion, indexing, and search quality of thousands of personal injury cases and millions of medical documents every month. Your expertise will help build the foundation for a source of truth dataset critical to our operations. Collaborating with our data science team, you will leverage cutting-edge AI tools and technology to design and develop modularized services. This means implementing low-latency systems and solving key performance bottlenecks, which is crucial for delivering reliable data to our stakeholders. Our hybrid work environment encourages collaboration, with three days in the office and the opportunity for remote work. If you have over 8 years of experience in distributed data systems and a passion for making the world a fairer place, we want to hear from you! Join us to make a meaningful impact while leveraging your skills in Python, SQL, and GraphQL.

Frequently Asked Questions (FAQs) for Staff Software Engineer, AI Entities Role at EvenUp
What are the main responsibilities of a Staff Software Engineer at EvenUp?

As a Staff Software Engineer at EvenUp, your primary responsibilities include building and enhancing our document extraction pipeline, leveraging AI tools to accurately identify data within files and cases. You'll design services to expand our data infrastructure, collaborate with data science teams on machine learning model integration, and troubleshoot performance bottlenecks. Your role is vital in driving a 'data first' mentality across the organization.

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What qualifications are required for the Staff Software Engineer position at EvenUp?

To qualify for the Staff Software Engineer position at EvenUp, you should have at least 8 years of experience in designing and building distributed data systems, along with a strong background in architecting event-driven architectures. Familiarity with data pipeline tools such as Post, Dagster, and BigQuery, coupled with proficiency in Python and SQL, is highly desirable. Additionally, experience communicating with cross-functional teams is critical.

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What technologies will I be using as a Staff Software Engineer at EvenUp?

As a Staff Software Engineer at EvenUp, you will work with various technologies, including Python, SQL, GraphQL, and tools for data processing and storage like BigQuery, Elasticsearch, and Dagster. You will also engage with machine learning models and large language models to enhance our data extraction and processing capabilities.

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How does the Staff Software Engineer contribute to EvenUp’s mission?

The Staff Software Engineer plays a crucial role in advancing EvenUp’s mission to level the playing field for personal injury victims. By building robust data systems and improving the efficiency of case data processing, you enable law firms to secure faster and higher settlements for their clients, thus directly impacting the justice these victims receive.

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What is the work environment like for a Staff Software Engineer at EvenUp?

The work environment at EvenUp for the Staff Software Engineer position is hybrid, blending in-office collaboration three days a week with remote flexibility. This setup fosters teamwork while allowing for the autonomy of working from home, making it ideal for those who enjoy both collaborative and independent work styles.

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Common Interview Questions for Staff Software Engineer, AI Entities
Can you describe your experience with distributed data systems?

When answering this question, focus on your specific roles in designing and implementing distributed data systems. Highlight key projects where you addressed challenges such as scalability and availability, and mention technologies you’ve used, which can demonstrate your expertise.

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How have you used Python and SQL in your previous projects?

Share specific examples where you utilized Python and SQL to solve data-related challenges. Discuss any frameworks you’ve used, performance optimizations, and the business impact your work generated to showcase your technical abilities and contributions.

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What strategies do you use to ensure data accuracy and integrity?

Discuss methodologies you've implemented for data quality assurance, such as unit testing, validation checks, or using statistical methods. Emphasize your proactive approaches in identifying data discrepancies and ensuring reliability in data-driven decision-making.

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Describe your experience with event-driven architectures.

Provide insights into projects where you've designed or worked with event-driven architectures. Discuss how you handled data processing flows, tools you utilized, and the performance benefits this architecture provided in your projects.

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How do you approach performance bottlenecks in data processing?

It's important to detail your systematic approach to identifying and addressing performance bottlenecks. Explain any tools or methodologies you use for monitoring performance, analyzing data flow, and optimizing code or infrastructure for better performance.

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Can you explain your experience in collaborating with data science teams?

Discuss how you have worked alongside data scientists to integrate machine learning models into data pipelines. Describe any challenges faced during collaboration and how you overcame them, emphasizing the importance of communication and teamwork.

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What do you believe is the most critical skill for a Staff Software Engineer?

Express your thoughts on the importance of adaptability and a continuous learning mindset in this rapidly evolving field. Mention specific technical skills, like expertise in AI tools or data lifecycle management, and interpersonal skills, such as the ability to communicate and collaborate effectively.

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How do you ensure your software is production-ready?

Talk about your practices for writing clean, maintainable code, including thorough testing, code reviews, and deploying in staging environments before production. Emphasize your commitment to quality and how it impacts stakeholder satisfaction.

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What are some common challenges you face when working with unstructured data?

Mention typical challenges like data quality, inconsistency, and lack of clarity in unstructured data. Discuss strategies you’ve employed to preprocess and structure this data using machine learning or data extraction techniques successfully.

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How do you stay updated with advancements in AI and software engineering?

Share specific sources such as tech blogs, podcasts, online courses, or community meetups that you engage with. Highlight any conferences you attend or personal projects that keep your skills sharp and reflect your enthusiasm for continual learning.

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EvenUp employs advanced AI technology under a strict zero-day retention policy. Data is deleted immediately after processing, ensuring no long-term storage risks and highlighting our commitment to data security and client privacy.

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DATE POSTED
April 12, 2025

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