{"id":908686,"url":"https://alion.io/job/relativity-advanced-ai-engineer","title":"Advanced AI Engineer","company":{"id":2576,"name":"Relativity","domain":"relativity.com","url":"https://alion.io/company/relativity","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-11-04T06:34:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kraków, Poland","Katowice, Poland","Warsaw, Poland","Łódź, Poland","Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":49000,"max_usd":103000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"Gemini","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Computer Vision","optional":true},{"name":"Machine Learning","optional":true},{"name":"NLP","optional":true},{"name":"Pulumi","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-14T15:02:40Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-11-04T06:03:30Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"Posting Type\nHybrid/Remote Poland\nJob Overview\nWHO 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, and other high-stakes legal work where accuracy and trust are crucial.\nThe world’s largest law firms, corporations, and government agencies rely on Relativity’s legal AI software to securely surface and manage the most relevant information in their matters.\nWHAT WE DO\nAt 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.\nThe 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: agent orchestration, tool and skill execution, memory, and the protocols that let agents interact with each other and with external systems.\nABOUT THE ROLE\nAs an Advanced AI Engineer on the Agent Harness team, you will build and extend Relativity’s agent runtime - working hands-on with industry frameworks like LangGraph, LangChain, and Deep Agents and fitting them to Relativity’s needs so every Relativity agent has a solid runtime to build on.\nYou will help mature the harness with industry-standard capabilities like long-session handling or broader protocol support, so it is ready before ClaiR and aiR Assist multiply agentic traffic, rather than after.\nYou will contribute to design discussions and turn agreed designs into well-tested, production-ready capabilities that application teams adopt.\nYou will work in a fast-moving space where agent architecture changes quickly, and grow your depth in agent engineering as you go.\nJob Description and Requirements\nWHAT YOU’LL DO\nBuild and extend the agent runtime inPython usingLangGraph,LangChain, and Deep Agents (deepagents ) - stateful graph agents, harness profiles, and multi-agent / subagent orchestration.\n\nImplement harness capabilities that application teams rely on - for example streaming and structured/generative output, tool calling, human-in-the-loop review, conversation branching and message queues, session memory, and checkpoint/resume (time-travel) over long-running work.\n\nContribute to the harness’sextensibility and protocol layer: Model Context Protocol (MCP) tool servers and clients, Agent-to-Agent (A2A) interoperability, and a registry of skills, tools, and configurations composed at runtime.\n\nHelp agents use the model that fits each use case, working across a range of LLM providers (e.g.OpenAI,Gemini).\n\nWrite clean, well-tested code and participatein design and code reviews; take ownership of components and see them through toproduction.\n\nCollaborate with teammates, Applied Science, and aiRapplication teams to move new capabilities from experimentinto production safely.\n\nWHAT WE’RE LOOKING FOR\nRequired\n3+ years of professional software engineering experience, with strong, recentPython building production systems.\n\nExperience buildingLLM-powered or agentic systems with frameworks such as LangChain/ LangGraph (or equivalent), including tool calling, orchestration, and agent state management.\n\nGood designinstincts - writing clean, testable code and contributing to the design of the components you own.\n\nSolid understanding of modern async Python, API and service design, and relational data (PostgreSQL).\n\nExperience delivering cloud-native systems (Azure or similar) with CI/CD and containers (Docker); familiarity with Kubernetes.\n\nBachelor’s degree in Computer Science, Engineering, or equivalent experience; English proficiencyfor technical communication.\n\nPreferred\nExperience withDeep Agents, multi-agent / subagent architectures, agent memory, or human-in-the-loop patterns.\n\nFamiliarity with the Model Context Protocol (MCP) or agent-to-agent (A2A) interoperability.\n\nExperience with RAG and retrieval systems, citations, and evaluating LLM output quality.\n\nFamiliarity with LLM observability and tracing (MLflow, OpenTelemetry) and evals for safe model upgrades - nice to have.\n\nInfrastructure-as-code (Pulumi/Terraform).\n\nWHY WE COULD BE A GREAT FIT\nImpactful Mission\nBuild systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters.\n\nEngineering at Scale\nWork on distributed, cloud-native systems that process large volumes of data.\n\nCutting-Edge Technology\nBuild with AI, cloud platforms, and scalable architectures shaping legal tech.\n\nGrowth and Ownership\nGain experience owning systems end-to-end across cloud and distributed environments.\n\nCollaborative Culture\nWork in a team focused on knowledge sharing and continuous improvement.\n\nInclusive Environment\nDiverse perspectives create stronger teams and better outcomes.\n\nCompensation and Benefits\nCompetitive salary, benefits, DTO, parental leave, and equity program.\n\nRelativity is committed to competitive, fair, and equitable compensation practices.\nThis position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.\nThe expected salary range for this role is betweenfollowing values:\n188 000 and 282 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.\nRequired Skills:\nAlgorithms, Artificial Neural Networks (ANNS), Big Data, Computer Vision, Data Science, Deep Learning, Machine Learning (ML), Natural Language, Natural Language Processing (NLP), Software Engineering","description_format":"text","description_chars":5944,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Equity","Parental leave"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Design & Creative","Document Management","Branding"],"lifecycle":[{"event":"open","at":"2026-09-14T15:02:40Z"}],"visa":[],"liveness":{"score":50,"band":"ok","label":"Likely open","p_open":1,"p_active":0.907,"p_room":0.55,"age_days":50,"expected_fill_days":49,"reasons":["conf:0","urgency","velocity","win:tail"],"computed_at":"2026-11-04T06:34:25Z"},"pay":null,"html_url":"https://alion.io/job/relativity-advanced-ai-engineer","json_url":"https://alion.io/job/relativity-advanced-ai-engineer.json","meta":{"generated_at":"2026-11-04T14:17:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":21677,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2576},"rest":"https://alion.io/mcp/rest/get_company?id=2576"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frelativity-advanced-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Frelativity-advanced-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Frelativity-advanced-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/relativity-advanced-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frelativity-advanced-ai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":908686}},{"tool":"search_jobs","arguments":{"company":"relativity.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":908686},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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