Staff Software Engineer, AI Platform at EvenUp

San Francisco, California, United States

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$133,300 – $303,600Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Legal Tech, SaaSIndustries

Requirements

10+ years of software engineering experience, including at least 2 years in a Staff or equivalent senior technical leadership role
Deep expertise in building and scaling distributed systems, frameworks, and internal platforms with a focus on reliability, observability, and performance
Proven experience in driving complex technical initiatives across teams or domains, with strong system design skills and clear tradeoff thinking
High standards for code quality, system design, and software architecture—along with a track record of mentoring others to meet those standards
Strong proficiency in Python and/or experience in additional languages such as NodeJS, GoLang, Java or C++
Clear, structured communication and the ability to influence stakeholders across engineering and product functions
Experience working in fast-paced, high-growth environments—ideally in startups or early-stage companies
Bonus: Experience in AI/ML systems, legal tech, or mission-driven, social impact-oriented engineering work
Bonus: Prior work with LLM-powered systems, AI platforms, or developer enablement tooling in ML-heavy environments

Responsibilities

Deliver high-quality, maintainable code using a modern tech stack (e.g., Python, Postgres, Kubernetes, Elasticsearch) while introducing and evaluating new tools and technologies as appropriate
Lead the architecture, design, and delivery of resilient, scalable systems and infrastructure that power production-grade applications including those based on large language models
Set technical direction for complex projects with significant ambiguity, owning outcomes end-to-end from inception to deployment and iterative improvement
Act as a force multiplier—mentoring engineers, setting engineering best practices, and elevating the technical bar across the organization
Partner cross-functionally with Product, ML, and Infrastructure teams to translate abstract or high-level product needs into robust engineering solutions
Influence platform and infrastructure roadmaps with a long-term view of scalability, maintainability, and developer velocity

Skills

Key technologies and capabilities for this role

PythonPostgresKubernetesElasticsearchLLMGenerative AIBackend Development

Questions & Answers

Common questions about this position

What is the salary range for this Staff Software Engineer position?

The salary range is $133.3K - $303.6K.

Is this role remote or hybrid, and where?

This is a hybrid role requiring 3 days per week in the office, open to applicants in the San Francisco Bay Area or Greater Toronto Area.

What skills and experience are required for this role?

Candidates need 10+ years of software engineering experience, including at least 2 years in a Staff or equivalent senior technical leadership role, and deep expertise in building and scaling distributed systems, frameworks, and internal platforms. Proficiency with a modern tech stack like Python, Postgres, Kubernetes, and Elasticsearch is expected.

What is the team structure like for this position?

You will join a multi-disciplinary AI Platform team of Data Scientists, Researchers, and Software Engineers working at the intersection of programming, LLM integration, and iterative experimentation.

What makes a strong candidate for this Staff Software Engineer role?

Strong candidates have 10+ years of experience with senior leadership, expertise in distributed systems, and the ability to lead architecture, mentor engineers, and partner cross-functionally while delivering scalable AI systems.

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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