Senior AI Engineer — Agent Runtime & LLM Orchestration

Relativity; Warszawa; Hybrid; PLN 188,000 - 282,000; Full time

Benefits offered by this job

Equity program

Parental leave

DTO (Discretionary Time Off)

Annual bonus

Job summary

Relativity is seeking an Advanced AI Engineer to build and extend the agent runtime on the Agent Harness team. You will work hands-on with LangGraph, LangChain, and Deep Agents to enable robust agent orchestration and memory systems in a cloud-native environment.

You will mature the harness with long-session handling, protocol support, and production-ready features while collaborating with Applied Science and aiR teams to take concepts into production safely.

Qualifications

• 3+ years of professional software engineering experience, with strong, recent Python building production systems.
• Experience building LLM-powered or agentic systems with LangChain / LangGraph, including tool calling, orchestration, and state management.
• Good design instincts — writing clean, testable code and contributing to the design of the components you own.
• Solid understanding of modern async Python, API and service design, and relational data (PostgreSQL).
• Experience delivering cloud-native systems (Azure or similar) with CI/CD and containers (Docker); familiarity with Kubernetes.
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience; English proficiency for technical communication.

Responsibilities

• Build and extend the agent runtime in Python using LangGraph, LangChain, and Deep Agents — stateful graph agents, harness profiles, and multi-agent orchestration.
• Implement harness capabilities for streaming, structured/generative output, tool calling, human-in-the-loop review, conversation branching and message queues, session memory, and long-running checkpoint/resume.
• Contribute to the harness’s extensibility and protocol layer: MCP tool servers and clients, A2A interoperability, and a registry of skills, tools, and configurations.
• Help agents use the model that fits each use case, working across a range of LLM providers (e.g., OpenAI, Gemini).
• Write clean, well-tested code and participate in design and code reviews; take ownership of components and see them through to production.
• Collaborate with teammates, Applied Science, and aiR application teams to move new capabilities from experiment into production safely.

Skills

Python

LangChain

LangGraph

Async Python

API design

PostgreSQL

CI/CD

Docker

Kubernetes

English communication

Education

Bachelor’s degree in Computer Science/Engineering

Tools

LangChain

LangGraph

Deep Agents

OpenAI

Gemini

MLflow

OpenTelemetry

Job description

Relativity is seeking an Advanced AI Engineer to build and extend the agent runtime on the Agent Harness team. You will work hands-on with LangGraph, LangChain, and Deep Agents to enable robust agent orchestration and memory systems in a cloud-native environment.

You will mature the harness with long-session handling, protocol support, and production-ready features while collaborating with Applied Science and aiR teams to take concepts into production safely.