Senior Software Engineer, AI Entities at EvenUp

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Legal TechIndustries

Requirements

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 (e.g., Kafka, Dagster, BigQuery, Elasticsearch)
Ability to communicate effectively with various stakeholders to derive requirements and architect scalable solutions
Several years of experience building high-quality software, shipping production-ready code and infrastructure
Enjoy owning a project from start to finish and driving projects to completion
Interest in making the world a fairer place (helping injured victims and/or their attorneys)

Responsibilities

Build and expand on the foundations of the 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 core data entities are surfaced for downstream teams
Collaborate with the Data Science (DS) team to integrate ML models into production workflows and simplify ML deployment and observability
Implement event-driven, low-latency systems to empower stakeholders with accurate and reliable data
Analyze and solve key performance bottlenecks, scaling challenges, and high availability issues
Help grow the engineering team and define a “data first” mentality across the organization

Skills

Key technologies and capabilities for this role

KafkaDagsterBigQueryElasticsearchLLMsdata pipelinesdistributed systemsevent-driven architecturesdocument extractionAI tooling

Questions & Answers

Common questions about this position

What is the salary for this Senior Software Engineer role?

This information is not specified in the job description.

Is this a remote role, or do I need to come into the office?

This is a hybrid role requiring 3 days per week in the office. Applicants are welcome from the San Francisco Bay Area, Los Angeles, or the Greater Toronto Area.

What skills and experience are required for this position?

Candidates need 5+ years designing and building distributed data systems, experience architecting event-driven architectures, and strong knowledge of data pipeline tools like Kafka, Dagster, BigQuery, and Elasticsearch. Additional requirements include effective communication with stakeholders and experience shipping production-ready code.

What is the company culture like at EvenUp?

EvenUp emphasizes a 'data first' mentality across the organization, values owning projects from start to finish, and focuses on helping injured victims through its mission. The role involves helping grow the engineering team in a rapidly growing generative AI startup.

What makes a strong candidate for this role?

Strong candidates have 5+ years in distributed data systems, experience with event-driven architectures and tools like Kafka and Elasticsearch, plus a passion for the mission of making the world fairer for personal injury victims.

EvenUp

Legal services for personal injury cases

About EvenUp

EvenUp Law provides legal services focused on personal injury, trucking accidents, and medical malpractice. The firm operates in multiple states, including Texas, Pennsylvania, California, Indiana, and Georgia. Its business model is based on a contingency fee structure, meaning they only receive payment if they win a case, taking a percentage of the settlement or judgment. What sets EvenUp Law apart from its competitors is its detailed case preparation and the ability to analyze cases like an adjuster or defense attorney, which leads to higher settlement amounts and quicker resolutions for clients. The firm also maintains a database of similar injuries and their values, which helps in providing accurate damage estimates. The goal of EvenUp Law is to save clients time and stress while ensuring they receive fair compensation for their injuries.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$214MTotal Funding

SERIES_DCompany Stage

LegalIndustries

201-500Employees

Risks

Increased competition from other legal tech startups could erode EvenUp's market share.

Reliance on a contingency fee model poses financial risks with unsuccessful cases.

Potential regulatory changes in AI use could impact EvenUp's operations.

Differentiation

EvenUp uses AI to automate legal document creation, reducing time and costs.

The company targets the $20 million insurance claim market with AI-driven solutions.

EvenUp's meticulous case preparation results in high settlement amounts and quick resolutions.

Upsides

Recent $135 million Series D funding shows strong investor confidence in EvenUp.

Launch of AI assistant Litty highlights growth in generative AI for legal automation.

Strategic board appointments could open new avenues for growth and partnerships.

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