Senior Software Engineer - AI Surfaces
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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 they're looking for
- 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.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Posting Type
Hybrid/Remote
Job Overview
WHO WE ARERelativity 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 $190,000The 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 LeadershipCompany
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