EvenUp

Backend Software Engineer, AI Document Generation

San Francisco, California, United States

Not SpecifiedCompensation
Junior (1 to 2 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Generative AI, Legal TechIndustries

Requirements

Candidates should have extensive experience in building frameworks, libraries, and distributed systems with a focus on reliability, observability, and performance. Proven proficiency in software development is required, with hands-on experience in Python or other programming languages such as Go, Java, Node.js, or C++. A track record of successfully delivering complex projects with clear, structured thinking and leadership from concept to deployment is essential. Experience in dynamic, fast-paced environments, such as startups, is preferred, along with excellent communication skills and strong ownership and personal accountability driven by problem-solving skills and creativity. Bonus points for experience in AI, legal tech, or social impact projects.

Responsibilities

The Backend Software Engineer will contribute to end-to-end AI workflows by integrating traditional SaaS with AI applications and rapidly prototyping features for customer needs. They will collaborate cross-functionally with founders, product managers, and designers to scope and realize new features. Establishing best practices for architecture, coding, and delivery while building user-facing experiences, services, APIs, and systems is crucial. The engineer will ensure code quality and security for sensitive data, deliver secure, compliant code, and mentor team members while contributing to team culture and continuous improvement efforts. Additionally, they will handle on-call responsibilities to resolve issues and document processes to ensure alignment with company standards.

Skills

LLM
AI
Data-driven insights
Customer-driven experiences
System Development
Workflow Enhancement
Integration

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.

Key Metrics

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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