Senior AI Engineer

Relativity ODA LLC

Kraków

Hybrid

PLN 180,000 - 320,000

Full time

3 days ago

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Benefits offered by this job

DTO

Parental leave

Equity program

Job summary

Relativity ODA LLC is seeking a Senior AI Engineer in Poland to help shape the architecture of our agent runtime and enable scalable, cloud-native AI platforms. You will work with LangChain, LangGraph, and Deep Agents to implement robust runtime foundations for Relativity's AI products.

You will advance long-session handling, broaden protocol support, and design first-class agent patterns that empower multiple engineering teams without rebuilding core runtime functionality.

Qualifications

5+ years of professional software engineering experience, including strong Python experience.
Experience with LLM-powered or agentic systems using LangChain, LangGraph, or equivalents.
Experience with tool calling, orchestration, and agent state management.
Strong solution architecture and reusable abstractions.
Solid async Python, API/service design, and PostgreSQL knowledge.
Experience delivering cloud-native systems in Azure with CI/CD, Docker and Kubernetes.
Bachelor's degree in Computer Science, Engineering, or equivalent.
English proficiency for technical communication.

Skills

Python

LangChain

LangGraph

Tool calling

Orchestration

Agent state management

Async Python

API design

PostgreSQL

Azure

CI/CD

Docker

Kubernetes

English (technical)

Education

Bachelor's degree in Computer Science

Tools

Pulumi

Terraform

Job description

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 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