Relativity Logo

Relativity

Staff Software Engineer - Strategic Agentic Surfaces

Posted 8 Days Ago
Remote
Hiring Remotely in Illinois, USA
174K-262K Annually
Expert/Leader
Remote
Hiring Remotely in Illinois, USA
174K-262K Annually
Expert/Leader
Own the architecture and technical direction of a production agentic AI product. Lead agent orchestration, context pipelines, evaluation infrastructure, search, grounding, security, cloud platform decisions, and enterprise integrations. Establish quality standards, improve engineering practices, mentor senior engineers, guide hiring, and remain hands-on solving complex technical problems across React, services, and PostgreSQL.
The summary above was generated by AI

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 and works with the broader Relativity technology organization on shared AI platform decisions, security and compliance reviews, and integrations with Relativity’s litigation surfaces.

Job Description and Requirements

ABOUT THE ROLE 

As the Staff Software Engineer for Gavel Exec, you will serve as the full-stack technical owner of the product and its agentic architecture. You will set the direction for the harness, context pipeline, and evaluation system over the next two to three years and own the quality bar that enables lawyers to trust the output. 

You will work directly with Gavel’s CTO on architecture, amplify the effectiveness of the engineering team, and represent Gavel engineering across the broader Relativity technology organization. 

  • Level: Staff, the senior-most individual contributor on the team 

  • Reports to: Pierre Martin, CTO of Gavel and VP of Engineering at Relativity 

  • Location: Remote within the United States, Seattle, or Chicago 

WHAT YOU’LL DO 

  • Own the architecture of the Gavel Exec agent system, including dispatcher and specialist agents, tool interfaces, harness semantics, retries, structured outputs, guardrails, cost and latency budgets, and the boundary between deterministic and model-driven logic. 

  • Set the evaluation strategy by defining quality standards for each agent, building offline evaluation infrastructure and online acceptance-rate instrumentation, and using evaluation results to gate releases. 

  • Lead the full technical roadmap across the stack, including live indexing, hybrid search, and playbook and precedent grounding. 

  • Drive platform decisions with Relativity, including infrastructure footprint, identity, tenancy, data residency, integration with the broader AI platform and MCP surfaces, and enterprise security requirements. 

  • Drive a modern software development lifecycle that supports high-quality, high-velocity delivery through best-in-class agentic engineering tools and practices. 

  • Raise the engineering bar through design reviews, pairing, and written technical direction. Mentor Lead and Senior engineers, help define the technical hiring loop, and interview senior candidates. 

  • Remain hands-on and ship continuously, especially on the hardest and highest-leverage problems. 

WHAT WE’RE LOOKING FOR 

Required 

  • 10+ years of experience building production software, including at least 2 years shipping LLM-based products to real users and at least 5 years in a service-oriented, continuously deployed environment. 

  • Demonstrated ownership of an agentic system in production, including multi-step tool use, orchestration across specialist components, failure handling, tracing, cost, latency, and incident response. 

  • Deep, practical understanding of the modern AI engineering stack, including prompt and context engineering, structured outputs, function calling, retrieval, reranking, evaluation design, fine-tuning trade-offs, and model routing across providers. 

  • Strong distributed systems fundamentals and hands-on cloud infrastructure experience, with AWS or Azure experience or a willingness to develop deep expertise quickly. 

  • Experience with containers, CI/CD, infrastructure as code, and enterprise identity. 

  • Fluency in TypeScript or Python and the ability to work across a React frontend, Node or Python services, and PostgreSQL. 

  • Direct experience building full-stack web applications and agentic applications. 

  • A track record of setting technical direction that strong engineers follow and communicating complex trade-offs clearly to product, business, and security stakeholders. 

  • A strong commitment to simplicity and sound judgment about when abstractions add value. 

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:

$174,000 and $262,000

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:

Algorithms, Automation, Debugging, Distributed Systems, Performance Tuning, Problem Solving, Project Management, Software Development, System Designs, Technical Leadership
HQ

Relativity Chicago, Illinois, USA Office

We’re a community of passionate, life-long learners tackling challenging problems. We care about each other and about our community.

Similar Jobs

46 Minutes Ago
In-Office or Remote
United States
100K-193K Annually
Senior level
100K-193K Annually
Senior level
Automotive
Designs, builds, maintains, and evolves Informatica IDMC and MDM SaaS solutions, integrations, dataflows, and business-critical software. Integrates systems using API- and event-based GCP patterns, Java, and Spring Boot. Leads requirements breakdown, guides projects through deployment, applies automated testing and CI/CD, documents architectures, mentors teammates, and advances AI-assisted development practices.
Top Skills: BpelC4 ModelingCi/CdCloud App Integration (Cai)Cloud Data Integration (Cdi)Cloud Data Quality (Cdq)Customer 360 MdmData Integration & ReplicationETLGCPGitInformatica IdmcInformatica Mdm SaasJavaJIRAJSONMermaidNoSQLSafeSpring BootSQLXpathXquery
55 Minutes Ago
In-Office or Remote
Chicago, IL, USA
100K-134K Annually
Senior level
100K-134K Annually
Senior level
Fintech
The Senior Security Engineer supports application security, vulnerability assessments, penetration testing, code reviews, security training, and secure SDLC practices. Responsibilities include third-party risk assessments, audit evidence collection, policy and compliance support, vulnerability research, incident response, security metrics, and remediation tracking. The role also administers security-system access, collaborates cross-functionally, guides junior engineers, responds to inquiries, and participates in a rotating one-week-per-month on-call schedule.
Top Skills: Application SecurityCisCode ReviewDynamic Application Security Testing (Dast)Microsoft OutlookMicrosoft TeamsNistPenetration TestingSecure Software Development Lifecycle (Sdlc)Static Application Security Testing (Sast)Vulnerability Assessment
55 Minutes Ago
In-Office or Remote
Chicago, IL, USA
100K-137K Annually
Senior level
100K-137K Annually
Senior level
Fintech
Leads DevOps and platform engineering initiatives by designing CI/CD pipelines, automating cloud infrastructure, supporting Kubernetes deployments, integrating security and observability controls, and improving developer productivity. Partners across engineering, security, SRE, and architecture teams to establish standardized delivery practices, self-service platforms, engineering metrics, and scalable cloud-native solutions. Mentors engineers and drives technical standards across multiple teams.
Top Skills: AWSAzureAzure DevopsBashCi/CdDockerDora MetricsGitopsInfrastructure As CodeKubernetesObservabilityPowershellPythonTerraform

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account