Senior AI Engineer

Relativity; United States; Hybrid; USD 63,000 - 94,000; Full time

Benefits offered by this job

Equity program

Parental leave

DTO

Job summary

Relativity is seeking a Senior AI Engineer to shape the Agent Harness runtime, leveraging LangChain, LangGraph, and Deep Agents. You will craft first-class platform capabilities, including long-session handling and broader protocol support, enabling scalable agent workloads across Relativity products like aiR Assist and ClaiR.

You will design clean abstractions for adoption by application teams, work in a rapidly evolving AI ecosystem, and pursue continuous learning of emerging agent

Qualifications

• 5+ years of professional software engineering experience.
• Strong Python experience building production systems.
• Experience with LangChain, LangGraph or equivalent.
• Experience with tool calling, orchestration, and agent state management.
• Knowledge of asynchronous Python, API design, and PostgreSQL.

Responsibilities

• Architect the agent runtime architecture and platform capabilities.
• Design reusable abstractions for other engineers.
• Collaborate with product teams to align with Relativity's AI roadmap.

Skills

Python

LangChain

LangGraph

LLM systems

Tool calling

Orchestration

Agent state

PostgreSQL

Azure

Docker

Kubernetes

CI/CD

English tech comms

Education

Bachelor's degree in Computer Science, Engineering, or equivalent

Tools

Pulumi

Terraform

MLflow

OpenTelemetry

Job description

Posting Type

Hybrid/Remote Poland

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

At Relativity, engineers do more than write code - they build systems that let users uncover insights from complex data at scale using cloud-native architecture, AI, and modern tools. The AI Platform group builds the agentic foundation that powers Relativity’s AI products, including aiR Assist and ClaiR. The Agent Harness team owns the runtime that runs our agents, including agent orchestration, tool and skill execution, memory, and the protocols that allow agents to interact with each other and with external systems.

ABOUT THE ROLE

As a Senior AI Engineer on the Agent Harness team, you will shape the architecture of Relativity’s agent runtime, adopting industry frameworks such as LangGraph, LangChain, and Deep Agents and adapting them to Relativity’s needs so every Relativity agent has a strong runtime foundation. You will help mature the harness with capabilities such as long-session handling and broader protocol support, ensuring the platform is prepared for the growing scale of agentic workloads across products like ClaiR and aiR Assist. You will determine which agent patterns become first-class platform capabilities and design clean abstractions that application teams can adopt without rebuilding foundational runtime functionality. This role operates in a rapidly evolving AI ecosystem, requiring continuous exploration of emerging agent architectures and platform capabilities.

Job Description and Requirements

WHAT WE’RE LOOKING FOR

Required 5+ years of professional software engineering experience, including strong and recent Python experience building production systems. Hands-on experience designing and building LLM-powered or agentic systems using frameworks such as LangChain, LangGraph, or equivalent technologies. Experience with tool calling, orchestration, and agent state management. Demonstrated strength in solution architecture and design, including creating reusable abstractions and foundational building blocks for other engineers. Solid understanding of modern asynchronous Python, API and service design, and relational databases such as PostgreSQL. Experience delivering cloud-native systems in Azure or similar cloud environments using CI/CD, Docker, and Kubernetes. Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. English proficiency for technical communication.

Preferred Experience

Experience with Deep Agents, multi-agent or subagent architectures, agent memory, or human-in-the-loop workflows. Familiarity with the Model Context Protocol (MCP) and Agent-to-Agent (A2A) interoperability. Experience building platform capabilities and developer-focused infrastructure used by multiple engineering teams. Experience with RAG and retrieval systems, citation frameworks, and evaluation of LLM output quality. Familiarity with observability, tracing, and evaluation tooling such as MLflow and OpenTelemetry. Experience supporting safe model upgrades through evaluation frameworks and testing practices. Experience with infrastructure-as-code tools such as Pulumi or Terraform.

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.

Formatted using Relativity engineering job posting templates. 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: 245 000 and 367 000PLN 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, Big Data, Cloud Computing, Computer Vision, Data Science, Deep Learning, Natural Language, Natural Language Processing (NLP), Project Management, Software Engineering

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.