Hybrid/Remote Lead Software Engineer - AI Surfaces & Agents

Relativity

Chicago (IL)

Hybrid

USD 150,000 - 224,000

Full time

10 days ago
Application generator

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Benefits offered by this job

Equity program
DTO (Paid Time Off)
Parental leave

Job summary

Relativity is seeking a Lead Software Engineer for Gavel’s product area, owning the front end, backend services, and context pipeline. You will mentor engineers, shipping agentic capabilities with robust evaluation and multi‑step orchestration, while collaborating with CTO and staff engineers on architecture.

The role blends hands‑on coding with architectural leadership, focusing on scalable, secure, and observable deployments across React, Node or Python, and PostgreSQL stacks.

Qualifications

  • 8+ years of experience building production software in service‑oriented, continuously deployed teams, including at least 1 year shipping LLM‑based products or features to real users.
  • Direct experience building full‑stack web applications and agentic applications, including ownership of at least one agentic capability in production involving tool use and function calling, multi‑step orchestration, structured outputs, retries and failure handling, and observation and debugging of non‑deterministic systems.
  • Practical experience with evaluation, including building evaluation sets, selecting metrics, using LLM‑as‑judge appropriately, and connecting offline results to online outcomes.
  • A solid grasp of retrieval and context engineering, including embeddings, hybrid search, chunking and ranking strategies, and context budgeting.
  • Hands‑on cloud infrastructure experience with AWS or Azure, or the willingness to develop deep expertise quickly, along with comfort using containers, CI/CD, infrastructure as code, and production observability.
  • Fluency in at least one of TypeScript or Python and the ability to work across the stack, including React front ends, Node or Python services, and PostgreSQL.
  • Experience leading the technical work of a small team through planning, reviewing, unblocking, and developing engineers while continuing to deliver meaningful code.
  • Clear written and verbal communication, including the ability to explain model‑quality regressions to lawyers and scoping trade‑offs to founders.

Responsibilities

  • Own the technical roadmap and delivery for your area, from design through production monitoring. Break ambiguous product goals into shippable milestones and sequence them across the stack.
  • Design and build agents and the infrastructure they run on, including tool definitions, prompts and context assembly, structured outputs, guardrails, evaluation sets, and the Word and web experiences that surface them.
  • Run the evaluation and release loop for your agents. Understand acceptance rates, identify why results change, and determine whether a change is ready to ship.
  • Model a modern software development lifecycle for your squad through small, frequent commits, feature‑flagged production deployments, fast rollbacks, and daily use of agentic engineering tools to improve quality and velocity.
  • Partner directly with Dorna Moini, Pierre Martin, product, and design on what to build next, and engage with customers when the answer is not clear from the data.
  • Lead design reviews, establish coding and testing standards for your squad, mentor Senior and Advanced engineers, and participate in hiring.
  • Work with Relativity platform and security teams on areas that touch shared infrastructure, identity, or compliance.

Skills

TypeScript
Python
React
Node.js
PostgreSQL
Leadership
Evaluation
Retrieval

Tools

AWS
Azure
Containers
CI/CD
Terraform

Job description

Relativity is seeking a Lead Software Engineer for Gavel’s product area, owning the front end, backend services, and context pipeline. You will mentor engineers, shipping agentic capabilities with robust evaluation and multi‑step orchestration, while collaborating with CTO and staff engineers on architecture.

The role blends hands‑on coding with architectural leadership, focusing on scalable, secure, and observable deployments across React, Node or Python, and PostgreSQL stacks.

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