{"id":3468723,"url":"https://alion.io/job/edra-ai-research-engineer-new-york","title":"AI Research Engineer (New York)","company":{"id":673239,"name":"Edra","domain":"edra.ai","url":"https://alion.io/company/edra","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":66,"open_postings":23,"ghost_share":0.565,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-02T06:13:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":250000,"max":350000,"currency":"USD","period":"year","gross":null,"usd_annual":350000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Context Engineering","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false}],"status":"live","first_seen_at":"2026-10-29T16:11:52Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-02T12:45:01Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":3},"description":"About Edra\nEdra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations.\nWe're a Series A startup, backed by Sequoia and other leading VC firms, led by Co-Founders who created and led Forward Deployed AI Engineering at Palantir, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build.\nThe Role\nWe're building a learning system that teaches AI agents how enterprises actually work. Our system starts from what a customer already has: knowledge base articles, support conversations, tickets, system logs, and agent traces. From that evidence it reverse-engineers how the business actually runs and writes the process down as instructions a person can inspect and an agent can execute, with confidence scoring to know when to automate and when to seek human input.\nWe're looking for AI Research Engineers who have built complex, production LLM-based systems. Whether you've scaled LLM workflows handling millions of requests, built multi-agent systems in production, or designed evaluation frameworks for enterprise deployments, we want people who bring intensity and self-direction to their craft. You'll work on our agentic learning environment: the loops that turn human corrections and agent outcomes into better knowledge and instructions over time. The job combines applied research with ownership of production systems. You find a failure, form a hypothesis, run the experiment, and ship the fix into real customer workflows.\nYou'll spend most of your time advancing our core context-learning library and the harness that powers our agents across every customer. The work spans continuous learning, context engineering, agent orchestration, and evaluation. You'll contribute to our knowledge benchmarks and to the self-improving capabilities of the harness.\nWhat You'll Do\nBuild and extend our core context-learning library, turning customer-informed problems into reusable platform capabilities.\n\nDesign and implement LLM-powered systems and agentic workflows from concept to production.\n\nBuild agentic features for knowledge management: agents that can edit, update, and maintain large knowledge bases autonomously.\n\nBuild continuous learning loops that use human corrections and production outcomes to find knowledge gaps, detect changed procedures, and improve prompts and instructions.\n\nBuild reliability and confidence systems: evaluation frameworks, confidence scoring, and logic for when to automate and when to escalate to a human.\n\nArchitect async, scalable systems that handle complex AI orchestration.\n\nContribute to the direction of our AI strategy and product capabilities.\n\nWhat We’re Looking For\nYou've built a complex, production LLM system with real depth: multiple layers of engineering decisions you can walk through, including what changed after real users arrived.\n\nYou have practical depth in one or more of context engineering, retrieval, agent orchestration, memory, evaluation, or learning from feedback.\n\nYou have experimental judgment. You can turn an ambiguous problem into a testable hypothesis, set a baseline, and tell a real improvement from noise.\n\nYou're excited by open-ended problems where the solution might not exist yet.\n\nYou can navigate between research papers and production code with equal comfort.\n\nYou're a strong communicator who can explain your work to teammates and customers.\n\nYou have 3+ years of professional experience.\n\nDon’t meet all of the above traits? We’d still love to hear from you. We’re looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets.\nLearn More About Edra\nWatch our Series A announcement video\n\nRead our blog post from our launch\n\nLearn more about what we're building\n\nOur founders point of view on the market\n\nCompensation & Benefits\nEdra offers generous compensation and benefits in both New York & London:\nCompetitive base salary & meaningful equity\n\nTop tier health, dental, & vision plans:\nTop plans with 100% premium coverage in the US (and a One Medical membership)\n\nPrivate medical & dental coverage in the UK\n\nFlexible paid time off\n\nLunch provided in office most days, snacks & drinks too\n\nA stipend to set up your workspace\n\nA Few Details\nWe work together in person five days a week from our offices New York and London.\nEdra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.","description_format":"text","description_chars":4977,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents"],"lifecycle":[{"event":"open","at":"2026-10-29T16:12:56Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":30,"reasons":["conf:2","stale_co","velocity","win:early"],"computed_at":"2026-11-02T06:13:15Z"},"pay":{"stated_usd_annual":350000,"is_top_pay":true},"html_url":"https://alion.io/job/edra-ai-research-engineer-new-york","json_url":"https://alion.io/job/edra-ai-research-engineer-new-york.json","meta":{"generated_at":"2026-11-02T16:05:37Z","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":22391,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"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":673239},"rest":"https://alion.io/mcp/rest/get_company?id=673239"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fedra-ai-research-engineer-new-york"},{"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%2Fedra-ai-research-engineer-new-york"},{"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%2Fedra-ai-research-engineer-new-york"},{"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/edra-ai-research-engineer-new-york\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fedra-ai-research-engineer-new-york"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3468723}},{"tool":"search_jobs","arguments":{"company":"edra.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3468723},"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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