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Senior 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 senior 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:

  • 5+ 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

$150000 / YEARLY (est.)
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$130000K
$170000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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

At EvenUp, we’re on a whirlwind adventure as one of the fastest-growing generative AI startups, aiming to change the landscape for personal injury victims—from victims of motor vehicle accidents to cases of child abuse. As a Senior Software Engineer focusing on AI Entities, you’ll play a pivotal role in our mission. Here, you’ll be leveraging some of the most advanced AI technology in building robust systems for data ingestion, indexing, and ensuring high-quality search functionality for our case data. Every month, thousands of personal injury cases and myriad medical documents flow through our systems, and your expertise will be critical in extracting accurate data that empower law firms to secure faster settlements and better outcomes. The exciting part? You’ll be working on a document extraction pipeline that utilizes cutting-edge LLMs and AI tools, collaborating closely with our data science team to integrate machine learning models seamlessly into our workflows. If you thrive in a dynamic environment where you can design modularized services to enhance our data infrastructure, solve performance bottlenecks, and cultivate a ‘data first’ mentality—then this is your moment. This hybrid role allows you to enjoy the synergy of in-office collaboration three days a week in the vibrant San Francisco area along with remote flexibility. So, if you're a seasoned engineer passionate about delivering impactful technology that uplifts injured victims and their attorneys, join us in making a meaningful difference!

Frequently Asked Questions (FAQs) for Senior Software Engineer, AI Entities Role at EvenUp
What responsibilities do Senior Software Engineers at EvenUp have?

Senior Software Engineers at EvenUp are tasked with building and expanding our data infrastructure, specifically focusing on document extraction pipelines. You'll be responsible for leveraging advanced AI technologies, collaborating with our data science team to integrate machine learning models, and ensuring the accuracy of critical data within our personal injury case systems.

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What qualifications are required for the Senior Software Engineer role at EvenUp?

To thrive as a Senior Software Engineer at EvenUp, you need 5+ years of experience in designing distributed data systems, a solid understanding of event-driven architectures, and hands-on experience with data pipeline tooling and storage solutions such as Post, Dagster, BigQuery, and Elasticsearch. Strong communication skills for cross-functional collaboration are also essential.

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What programming languages should a Senior Software Engineer at EvenUp be familiar with?

Senior Software Engineers at EvenUp should have proficiency in Python, SQL, and GraphQL. Familiarity with these programming languages will enable you to effectively develop and optimize data services within our AI-driven systems while ensuring robust integration with machine learning models.

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How does the Senior Software Engineer position contribute to EvenUp's mission?

The Senior Software Engineer role significantly contributes to EvenUp's mission by developing technology that directly impacts the efficiency and outcomes of personal injury cases. By ensuring accurate data extraction and integration of AI insights, you'll help level the playing field for victims, allowing law firms to achieve faster and more substantial settlements.

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

As a Senior Software Engineer at EvenUp, the work environment is a hybrid model that fosters collaboration while also offering flexibility. You’ll spend three days a week in our San Francisco office alongside a dedicated team, engaging in creative problem-solving and innovative technology development, while also enjoying remote work options.

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Common Interview Questions for Senior Software Engineer, AI Entities
Can you explain your experience with building distributed data systems as a Senior Software Engineer?

Make sure to discuss specific projects where you've designed or scaled distributed systems. Highlight the technologies you've used, such as Elasticsearch or BigQuery, and how you addressed challenges like latency or scaling issues.

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How do you approach designing a document extraction pipeline?

Explain your process for identifying requirements, choosing technologies (like LLMs), and pinpointing the data points needed. Mention any best practices you've followed to ensure accuracy and reliability in the extracted data.

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What methodologies do you use for cross-functional collaboration?

Share your preferred methods for collaborating across teams, such as regular sync meetings, documentation practices, or tools you use to streamline communication and requirements gathering.

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Discuss a time when you solved a significant performance bottleneck.

Provide a specific example of a performance issue you encountered, steps you took to identify the root cause, and how you resolved it. Highlight the impact your solution had on the overall system performance.

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What interests you most about the role at EvenUp?

Convey your passion for using technology to support a meaningful mission. Discuss your interest in AI and its applications in the legal field, and how that aligns with your career goals and values.

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Give an example of a successful ML integration in a project you worked on.

Talk about a specific project where you integrated machine learning models into a system. Discuss the challenges faced, your role in the project, and how the final outcome improved the system's functionality.

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How do you ensure the quality of production-ready code?

Discuss practices such as code reviews, unit testing, and continuous integration. Emphasize how these practices help in maintaining high standards for the software delivered.

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How do you handle feedback from stakeholders when developing a project?

Share your approach to incorporating stakeholder feedback, emphasizing your collaborative mindset and how you ensure their needs are aligned with technical feasibility.

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What techniques do you use for monitoring and observability in production systems?

Explain tools and techniques you use to monitor system performance and ensure observability, including logging practices, metrics, and alerting strategies.

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How do you stay updated with the latest technologies and trends in AI and software engineering?

Mention specific resources, such as blogs, conferences, or communities you engage with that help you stay ahead in AI and software engineering innovations. Highlight your commitment to continuous 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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