Advanced AI Engineer

🔥 0 minutes ago

🇵🇱 Poland – Remote

💵 zł188k - zł282k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Relativity

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

⚖️ Legal

💼 Consulting

🏥 Healthcare

Legal • Consulting • Healthcare

Relativity is a technology company that provides cloud-based software solutions for data discovery, e-discovery, data breach response, contract analysis, and privacy management. Their products, powered by artificial intelligence, offer proactive security and legendary support to help organizations manage sensitive data. Relativity is trusted by thousands of organizations, including law firms, corporations, and government agencies, to organize data, discover truth, and act on it effectively and efficiently. Their end-to-end solutions streamline data discovery from collection to review and production, utilizing tools like RelativityOne, Relativity aiR for AI-driven legal challenges, and custom solutions through the Relativity App Hub. Relativity is committed to offering secure, flexible solutions with a strong focus on customer support and strategic partnerships.

📋 Description

• Build and extend Relativity’s agent runtime in Python using LangGraph, LangChain, and Deep Agents • Implement stateful graph agents, harness profiles, and multi-agent/subagent orchestration • Develop streaming and structured/generative output, tool calling, human-in-the-loop review, conversation branching, message queues, session memory, and checkpoint/resume capabilities • Contribute to the harness extensibility and protocol layer, including MCP tool servers and clients, A2A interoperability, and runtime registries • Enable agents to use appropriate models across LLM providers such as OpenAI and Gemini • Write clean, well-tested, production-ready code • Participate in design and code reviews • Own components through production delivery • Collaborate with teammates, Applied Science, and aiR application teams to move capabilities from experimentation into production safely

🎯 Requirements

• 3+ years of professional software engineering experience with strong, recent Python experience building production systems • Experience building LLM-powered or agentic systems with LangChain, LangGraph, or equivalent frameworks, including tool calling, orchestration, and agent state management • Good design instincts, including clean, testable code and component design • Solid understanding of modern async Python, API and service design, and relational data, especially PostgreSQL • Experience delivering cloud-native systems with Azure or similar, CI/CD, and Docker; familiarity with Kubernetes • Bachelor’s degree in Computer Science, Engineering, or equivalent experience • English proficiency for technical communication • Preferred: experience with Deep Agents, multi-agent/subagent architectures, agent memory, or human-in-the-loop patterns • Preferred: familiarity with Model Context Protocol (MCP) or agent-to-agent (A2A) interoperability • Preferred: experience with RAG and retrieval systems, citations, and evaluating LLM output quality • Preferred: familiarity with LLM observability and tracing, including MLflow and OpenTelemetry, and evals for safe model upgrades • Preferred: infrastructure-as-code experience with Pulumi or Terraform

🏖️ Benefits

• Competitive salary • Benefits • DTO • Parental leave • Equity program • Annual performance bonus • Long-term incentives • Growth and ownership opportunities • Knowledge sharing and continuous improvement • Inclusive, diverse work environment