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описание
Relativity is a legal data intelligence company that develops AI-powered cloud technology for organizing complex information, discovering insights, and supporting litigation, investigations, regulatory inquiries, and other high-stakes legal work. Its RelativityOne platform and AI products serve law firms, corporations, and government agencies.
задачи
Shape the architecture of Relativity’s agent runtime;
Adopt and adapt industry frameworks such as LangGraph, LangChain, and Deep Agents;
Mature the agent harness with long-session handling and broader protocol support;
Determine which agent patterns become first-class platform capabilities;
Design clean abstractions for application teams;
Explore emerging agent architectures and platform capabilities.
требования
5+ Years of professional software engineering experience;
Strong and recent Python experience building production systems;
Hands-on experience designing and building LLM-powered or agentic systems;
Experience with tool calling, orchestration, and agent state management;
Strength in solution architecture and design;
Experience creating reusable abstractions and foundational building blocks;
Understanding of modern asynchronous Python, API and service design, and PostgreSQL;
Experience delivering cloud-native systems in Azure or similar cloud environments;
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience;
English proficiency for technical communication;
Nice to have: experience with Deep Agents, multi-agent or subagent architectures, agent memory, human-in-the-loop workflows, MCP, A2A interoperability, platform capabilities, developer-focused infrastructure, RAG, retrieval systems, citation frameworks, LLM output evaluation, MLflow, OpenTelemetry, safe model upgrades, evaluation frameworks, testing practices, Pulumi, Terraform.
условия
Competitive salary, benefits, DTO, parental leave, and equity program;
Eligible for total compensation including a competitive base salary, annual performance bonus, and long-term incentives;