{"id":1910619,"url":"https://alion.io/job/elastic-principal-ai-engineer-context-agents-and-context-5","title":"Principal AI Engineer - Context - Agents and Context","company":{"id":4819,"name":"Elastic","domain":"elastic.co","url":"https://alion.io/company/elastic","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":51,"ghost_share":0,"stale_share":0.765,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":369400,"max":584300,"currency":"PLN","period":"year","gross":null,"usd_annual":150301},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"ElasticSearch","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"CrewAI","optional":true},{"name":"LangGraph","optional":true},{"name":"OpenAI Agents SDK","optional":true}],"status":"live","first_seen_at":"2026-10-05T13:16:37Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-21T11:20:49Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.\nWhat is The Role\nThe Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses.\nAs a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic.\nThe codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack.\nWhat You Will Be Doing\nOwn the production improvement loop for Context Engine: understand how extraction automations, retrieval tools and memory behave, based on offline evaluations and customer conversations and telemetry. You help find the failure modes, fix them, and prove the fix.\nDefine how we iterate on agents and skills safely: versioning and rollout of prompts, skills and automations, regression coverage, staged and shadow evaluation, and the guardrails that let us change behaviour without breaking customers.\nDesign the telemetry we need to make data-informed engineering decisions: what to capture from agent traces, tool calls and knowledge retrieval, how it lands in Elasticsearch, and how it feeds evaluation, dashboards and the feedback loop.\nPartner with the data science team on evaluation strategy: golden datasets, evaluators to gate on quality, latency and cost.\nRaise the bar across the team: review designs and PRs, mentor engineers in eval-driven development, and write the technical proposals that shape the roadmap.\nWhat You Bring\n10+ years of software engineering experience, with the recent years spent shipping and operating AI-driven products on real production traffic, ideally products with public APIs and data models that had to evolve without breaking customers.\nA track record of eval-driven product improvement: you have diagnosed agent or LLM behaviour from traces and user feedback, designed the evaluation that exposed the problem, shipped the fix and measured the outcome.\nDirect experience building agents with state and memory, and iterating on prompts, skills and tool behaviour safely in production.\nFamiliarity with MCP, including exposing public MCP servers and tools.\nExperience designing telemetry for AI systems, and using it to make engineering and product decisions.\nExperience running product experiments end to end: instrumentation, unattended execution, and interpreting results.\nExperience building products with public APIs and evolving data models, and the judgement that comes with maintaining external contracts as a product changes.\nStrong backend engineering skills in either Python or TypeScript: APIs, stateful workflows, data pipelines and production services.\nComfort working with data scientists, engineers, and product managers as peers, translating between measurement and shipping, and communicating trade-offs clearly.\nA pragmatic, low-ego style suited to a distributed, async-first team.\nBonus Points\nExperience with agent frameworks such as LangGraph, CrewAI, Claude Agent SDK, or similar.\nAgentic retrieval experience, including knowledge representation.\nPractical Elasticsearch experience.\nCompensation for this role is in the form of base salary. This role does not have a variable compensation component. \nAt Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets.\nThe final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position.\nThe typical starting salary range for this role is:\n369 400 zł—584 300 zł PLN\nAdditional Information - We Take Care of Our People\nAs a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.\nWe strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.\nCompetitive pay based on the work you do here and not your previous salary\nHealth coverage for you and your family in many locations\nAbility to craft your calendar with flexible locations and schedules for many roles\nGenerous number of vacation days each year\nIncrease your impact - We match up to $2000 (or local currency equivalent) for financial donations and service\nUp to 40 hours each year to use toward volunteer projects you love\nEmbracing parenthood with minimum of 16 weeks of parental leave\nDifferent people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.\nWe welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email . We will reply to your request within 24 business hours of submission.\nApplicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)\nElasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.\nPlease see here for our Privacy Statement.","description_format":"text","description_chars":8492,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave"],"hiring_locations":[{"name":"Belarus","iso":"BY","kind":"country"},{"name":"Cuba","iso":"CU","kind":"country"},{"name":"Iran","iso":"IR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Endpoint Security","Security Operations","Vector Search & RAG","Observability & APM"],"lifecycle":[{"event":"open","at":"2026-10-05T14:29:39Z"}],"visa":[],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.688,"p_room":0.9,"age_days":15,"expected_fill_days":42,"reasons":["conf:3","stale_co","wave","velocity","win:mid","comp:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":150301,"is_top_pay":false},"html_url":"https://alion.io/job/elastic-principal-ai-engineer-context-agents-and-context-5","json_url":"https://alion.io/job/elastic-principal-ai-engineer-context-agents-and-context-5.json","meta":{"generated_at":"2026-10-21T13:35:57Z","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":19273,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":4819},"rest":"https://alion.io/mcp/rest/get_company?id=4819"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Felastic-principal-ai-engineer-context-agents-and-context-5"},{"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%2Felastic-principal-ai-engineer-context-agents-and-context-5"},{"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%2Felastic-principal-ai-engineer-context-agents-and-context-5"},{"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/elastic-principal-ai-engineer-context-agents-and-context-5\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Felastic-principal-ai-engineer-context-agents-and-context-5"}]}