Senior Software Engineer - AI Surfaces

LE0001 Relativity ODA LLC; Illinois; Remote; USD 126,000 - 190,000; Full time

Benefits offered by this job

Equity program

Parental leave

Competitive salary

Job summary

Relativity is seeking a Senior Software Engineer to own production agents end to end across the full stack. You will design tools, prompts, context, and frontend experiences in Word or web, and lead evaluations and infrastructure work with the founders and engineering teams.

You will work remotely within the United States, with potential collaboration across Seattle or Chicago locations, and contribute to a modern, scalable software lifecycle for high-stakes legal tech products.

Qualifications

• 5+ years of production software experience in service-oriented, continuously deployed teams.
• Experience shipping LLM-powered features to real users in launched projects.
• Experience building full-stack web and agentic applications.
• Cloud service development with AWS/Azure or equivalent, incl. containers & CI/CD.
• Fluency in TypeScript or Python; React frontend and Node/Python services.
• Experience writing tests to prevent regressions.
• Strong API design, data modeling, concurrency and reliability fundamentals.

Responsibilities

• Design, build, and ship agents and capabilities end to end across full stack.
• Lead tool design, prompts, context work, and evaluation sets for agents.
• Measure acceptance, latency, and cost per agent; instrument production.
• Contribute to shared infrastructure: harness, context, retrieval, routing, observability.
• Follow modern SDLC with small commits, feature flags, rapid rollbacks.
• Debug non-deterministic failures, retrieval misses, tool-call errors, and regressions.
• Review code, mentor engineers, and document technical decisions for teams.

Skills

Automation

Data Analysis

Database Management

Network Architecture

Performance Optimizations

Problem Solving

Project Management

Software Development

System Designs

Technical Leadership

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 the 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, CEO, and Pierre Martin, CTO of Gavel and VP of Engineering at Relativity.

Job Description and Requirements ABOUT THE ROLE

As a Senior Software Engineer, you will build and own production agents end to end across the full stack. You will take agents from customer problems and rough specifications through tool design, prompt and context work, evaluation sets, Word or web experiences, feature-flagged launches, and follow-up improvements informed by acceptance data. You will work independently on well-scoped problems and collaboratively on ambiguous ones, directly with the founders and the rest of the team.

Level: Senior Reports to: Lead or Staff Engineer, Gavel at Relativity Location: Remote within the United States, Seattle, or Chicago

WHAT YOU’LL DO

• Design, build, and ship agents and agent capabilities end to end, including tools, prompts, context assembly, structured outputs, guardrails, services, and the frontend experience in Word or on the web.
• Build and maintain evaluations for the capabilities you own.
• Use them to guide decisions and instrument production to measure acceptance, latency, and cost per agent.
• Contribute to shared infrastructure, including the harness, context and retrieval pipeline, model routing, and observability stack.
• Practice a modern software development lifecycle through small, frequent commits, feature-flagged production deployments, fast rollbacks, and daily use of agentic engineering tools.
• Debug non-deterministic failures, retrieval misses, tool-call errors, and model regressions.
• Participate in design reviews, write clear technical documentation, review code for other engineers, and mentor Advanced engineers.
• Work directly with product, design, and, at times, customers to understand what good work product means for a given legal task.

WHAT WE’RE LOOKING FOR

• Required 5+ years of experience building production software in service-oriented, continuously deployed teams, including experience shipping LLM-powered features to real users through a launched project, not only experiments.
• Direct experience building full-stack web applications and agentic applications, including API usage across providers, function calling and structured outputs, prompt and context engineering, retrieval-augmented generation, and evaluation fundamentals.
• Hands‑on cloud service development experience with AWS, Azure, or an equivalent platform, including containers, CI/CD, and production debugging, with a willingness to develop deep expertise.
• Fluency in TypeScript or Python and the ability to work across a React frontend, Node or Python services, and PostgreSQL.
• Experience writing and maintaining tests that catch regressions.
• Strong engineering fundamentals in API design, data modeling, concurrency, performance, and reliability.
• Good written and spoken English, with the ability to explain technical decisions succinctly to non-engineers.
• A strong commitment to simplicity, demonstrated through open-source work, side projects, or past professional work.

Preferred [Insert preferred qualifications, if applicable]

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: $126,000 and $190,000 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

Automation, Data Analysis, Database Management, Network Architecture, Performance Optimizations, Problem Solving, Project Management, Software Development, System Designs, Technical Leadership

We’re solving big data challenges in the legal tech industry, and we’re always looking for more people to join us on the journey. At Relativity, you'll learn cross-functional skills to grow your career and have the chance to make a big impact on our customers, our industry, and our communities. We admire and value our employees, so it’s no surprise that our hiring process is designed to help us really get to know you – and for you to get to know us, too.