Advanced Software Engineer - Ai Surfaces

Relativity; United States; Hybrid; USD 103,000 - 155,000; Full time

Benefits offered by this job

Equity program

Parental leave

DTO

Job summary

Relativity is seeking an advanced software engineer to contribute to Gavel, a Word-native agentic surface for lawyers. You will build features across the full stack, including the Word add-in and web app, working with founders and a small team.

This role targets early-career to mid-level engineers; you will own features end-to-end, learn from reviews, and grow in a cloud-native, AI-powered environment focused on legal tech.

Qualifications

• 2+ years professional software development experience.
• TypeScript or Python + React + SQL.
• Experience with agentic LLMs and tool calls.
• Cloud services and CI/CD basics.

Responsibilities

• Build full-stack features for Gavel Exec across the stack.
• Implement features in Word add-in and web app.
• Run and interpret evaluations; ship behind feature flags.
• Practice modern SDLC with frequent commits and rollbacks.
• Collaborate on reviews and document learnings.
• Tackle increasingly ambiguous problems as you prove readiness.

Skills

TypeScript or Python

React

SQL

LLM agentic

AWS/Azure/GCP

CI/CD

Data structures

Algorithms

English

Job description

_ Posting Type _

Hybrid/Remote

_ Job Overview _

WHO WE ARE

Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.

The world’s largest law firms, corporations, and government agencies rely on Relativity’s legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we are committed to expanding access to technology and supporting pro bono legal work.

WHAT WE DO

Gavel is a Microsoft Word-native agentic surface where lawyers perform real-time, evidence-based document editing and drafting. Gavel operates as a small, founder-led team within Relativity, with product and engineering led directly by Dorna Moini and Pierre Martin.

_ Job Description and Requirements _

ABOUT THE ROLE

This role offers an opportunity to grow as a full-stack AI engineer on a small team that ships agents to lawyers weekly. You will work alongside the engineers who built Gavel from the ground up and gain direct exposure to the founders. You will begin with well-defined features across the stack and grow toward end-to-end ownership of agentic features.

This Advanced Software Engineer role is designed for an early-career to mid-level engineer ready to grow quickly. The role reports to a Lead or Staff Engineer on Gavel at Relativity and may be based remotely in the United States or in Seattle or Chicago.

WHAT YOU’LL DO

• Build features across the full stack of Gavel Exec, including agent tools, prompt and context changes, services and API endpoints, and front-end work in the Word add-in and web app.

• Write and extend evaluations, run them, and learn to interpret the results. Ship changes behind feature flags and monitor production outcomes.

• Learn and practice a modern software development lifecycle from day one through small, frequent commits, feature-flagged deployments, fast rollbacks, and best-in-class agentic engineering tools.

• Fix bugs, improve reliability, and add tests while developing an understanding of how agentic systems fail.

• Pair with Senior and Lead engineers on design and code reviews. Ask questions and document what you learn so others can benefit.

• Take on increasingly ambiguous problems as you demonstrate readiness.

WHAT WE’RE LOOKING FOR

Required

• 2+ years of professional software development experience or equivalent demonstrated ability, such as a strong open-source track record, a shipped product, or substantial internship experience.

• Working proficiency in at least one of TypeScript or Python, plus hands-on experience building full-stack web applications with a front end such as React, services, and a relational database using SQL.

• Hands-on experience building an agentic solution with LLMs, even at a small scale, such as an agent, a retrieval-augmented generation application, or a tool-using assistant. Ability to explain system prompts, tool calls, embeddings, and common failure points.

• Basic familiarity with cloud services such as AWS, Azure, or GCP, containers, and CI/CD.

• Strong fundamentals in data structures, algorithms, and writing clean, tested code.

• Curiosity about how lawyers work and the humility to learn from acceptance data when an initial idea does not perform as expected.

• Clear written and spoken English and a preference for simple solutions over clever ones.

WHY WE COULD BE A GREAT FIT

Impactful Mission

• Build systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters.

Engineering at Scale

• Work on distributed, cloud-native systems that process large volumes of data.

Cutting-Edge Technology

• Build with AI, cloud platforms, and scalable architectures shaping legal tech.

Growth and Ownership

• Gain experience owning systems end-to-end across cloud and distributed environments.

Collaborative Culture

• Work in a team focused on knowledge sharing and continuous improvement.

Inclusive Environment

• Diverse perspectives create stronger teams and better outcomes.

Compensation and Benefits

• Competitive salary, benefits, DTO, parental leave, and equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$103,000 and $155,000

The final offered salary will be based on several factors, including but not limited to the candidate’s depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Engineering Principle, Hardware Integration, Innovation, Problem Solving, Process Improvements, Quality Assurance (QA), Research and Development, System Designs, Technical Documents, Troubleshooting