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Posting Type
Hybrid/Remote Poland
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
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
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 000PLNThe 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 EngineeringSkills 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 LangChain, LangGraph, or equivalent technologies.
- Experience with tool calling, orchestration, and agent state management.
- Strength in solution architecture and design, including creating reusable abstractions and foundational building blocks for other engineers.
- 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.
- Experience with Deep Agents, multi-agent or subagent architectures, agent memory, or human-in-the-loop workflows.
- Familiarity with the Model Context Protocol and Agent-to-Agent 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.
Relativity Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Relativity and has not been reviewed or approved by Relativity.
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Leave & Time Off Breadth — Time off options include discretionary time off and two company‑wide breaks each year, providing additional recharge time.
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Healthcare Strength — Health coverage includes comprehensive medical, dental, and vision plans, telehealth access, and wellness resources such as a Headspace subscription.
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Parental & Family Support — North America offers up to 12 weeks of fully paid parental leave, with comparable regional programs in EMEA and APAC.
Relativity Insights
What We Do
At Relativity, we build innovative and comprehensive tools for making sense of unstructured data. When more people can find the facts in mountains of documents, emails, and texts, more legal and data-centric matters can be resolved equitably. Join us in our mission to help our customers organize data, discover the truth, and act on it. Relativity makes software to help users organize data, discover the truth and act on it. Its SaaS product, RelativityOne, manages large volumes of data and quickly identifies key issues during litigation and internal investigations. Relativity has more than 300,000 users in approximately 40 countries serving thousands of organizations globally primarily in legal, financial services and government sectors, including the U.S. Department of Justice and 198 of the Am Law 200. Relativity does not tolerate racism or discrimination of any kind. We do not accept unfair treatment of any person or group of people. We’re committed to advocating for change to make our world a more inclusive, just place.
Why Work With Us
We believe in our team members and we want to help you own your career as part of a community of values-driven people who help customers around the world solve complex data challenges. At Relativity, you’ll take on challenging work, but you’ll also partner with talented colleagues and pursue plenty of learning and development opportunities.
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