{"id":27269,"url":"https://alion.io/job/patlytics-ai-engineer","title":"AI Engineer","company":{"id":14573,"name":"Patlytics","domain":"patlytics.ai","url":"https://alion.io/company/patlytics","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","Toronto, Canada"],"countries":["US","CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":156000,"max_usd":341000,"period":"year","method":"role_country_seniority_unknown","sample_n":4027},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AWS","optional":false},{"name":"Claude","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pandas","optional":false},{"name":"Post-training","optional":false},{"name":"Prompt Caching","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-06-17T23:33:01Z","employer_posted_date":"2026-06-17","last_verified_at":"2026-10-16T14:47:12Z","board_verified":true,"closed_at":null,"days_open":120,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":120},"description":"About Patlytics:\nPatlytics is the fastest-growing AI-native patent intelligence platform, transforming how IP is protected and monetized at scale. Our advanced LLMs and generative AI engine-custom-built for intellectual property-power every phase of the patent workflow from invention disclosure through litigation, delivering citation-backed insights with unprecedented accuracy and speed.\nFresh off our $40M Series B - led by SignalFire, with participation from N47, Myriad Venture Partners, Liquid 2 Ventures, BAM Corner Point, Alumni Ventures, Antiportfolio Ventures and Relativity - allows us to triple down on the product, accelerate growth globally, hire future mission-aligned colleagues, and to continue redefining what is possible for our customers. - we're scaling fast across product, engineering, and go-to-market. If you want to build at the inflection point, this is it.\nWith teams across the globe we're building a global company fueled by exceptional talent and bold ideas. Our rapid expansion is driven by people who bring entrepreneurial energy, intellectual curiosity, and a shared commitment to setting the global standard for AI-powered IP intelligence. We're creating a culture where diverse perspectives shape breakthrough innovation and every voice contributes to transforming how the world protects ideas.\nWe hire for trajectory, not just credentials. If you're 70% of this list and hungry to close the gap, apply.\nAs an AI Engineer, you’ll:\nDevelop and deploy robust, scalable AI/ML algorithms for cutting-edge IP applications\n\nDesign, implement, and iterate on multi-step LLM pipelines for patent claim analysis, infringement detection, and prior art search, including the model selection, prompt architecture, and structured output contracts that define product quality\n\nBuild and maintain a rigorous evals framework: define success metrics per pipeline stage, curate golden datasets from real IP cases, and run continuous regression testing to catch degradation before users do\n\nDevelop retrieval systems (vector search, BM25 hybrids, re-ranking) optimized for patent corpus characteristics, long documents, technical claim language, biological sequence identifiers\n\nArchitect and ship agentic workflows within our Agent layer, coordinating tool use, memory, and multi-turn reasoning over complex IP research tasks\n\nDevelop data classification techniques and post-training on the latest LLMs\n\nCollaborate with patent attorneys and domain experts to encode expert judgment into prompts, rubrics, and fine-tuning datasets, then measure whether it worked Own cost, latency, and quality tradeoffs for production inference: prompt caching strategies, context window management, batching, and model migration planning on AWS, GCP and other LLM providers.\n\nPartner with a highly talented cross functional group of researchers, applied scientists, engineers, and product managers to build and evolve the (your company’s platform, product, solution, etc.)\n\nWork with large, complex data sets, solve difficult, non-routine analysis problems, and apply advanced analytical methods as needed\n\nPartner with the Leadership Team to align development strategies with key product requirements and long-term technical roadmap\n\nBuild tools to monitor data pipeline performance, data quality and models in production\n\nPerform unit testing, profiling, and parameter tuning\n\nCollaborate with data engineers & platform team to implement data pipelines and robust production real-time and batch decisioning solutions\n\nLead ongoing R&D of new technologies, data sources and data science & optimization tools\n\nImprove existing machine learning methodologies by developing new sources and testing enhancements, running computational experiments, and fine-tuning parameters\n\nThat said, these responsibilities are just the beginning! As we continue to grow, we encourage you to contribute wherever you observe opportunities in the business that align with your interests.\nAbout you:\nYou've shipped LLM-powered features that real users depend on, not just demos or side projects. You have a track record of turning prototype prompts into production pipelines with monitoring and fallbacks\n\nYou think in evals first. Before writing a prompt, you ask 'how will we know if this is better?' and you build the scaffolding to answer that question rigorously\n\nYou're comfortable with ambiguity at the model layer. You know that Claude, GPT, and Gemini make different tradeoffs, and you've developed intuition for when to switch, fine-tune, or route between them\n\nYou write solid Python and have enough backend instincts to own a service end-to-end: API design, data pipelines, async processing, and observability\n\nYou can read a patent claim and not immediately give up. You're curious about domain knowledge and willing to become a genuine expert in IP reasoning over time\n\nYou have a strong technical background building ML & AI pipelines\n\nYou have great understanding of ML methods and statistics, including ML project lifecycle and associated challenges at each stage of development\n\nExperience deploying, monitoring and maintaining data science products in cloud environments such as AWS and GCP.\n\nSolid understanding of data transformations and analytics functions using tools/languages like (Pandas, Sklearn, SQL, Spark, etc.)\n\nFamiliarity with database modeling, data warehousing principles and SQL\n\nIf you don’t meet 100% of the above qualifications, you should still consider applying. Studies show that you can still be considered for a role if you meet just 50% of the position’s requirements.\nWe offer:\nComprehensive health coverage - Medical, dental, vision, plus FSA, commuter benefits, and health advocacy through Rightway\n\nMental health & wellness support - Access to Spring Health and Headspace, plus \"Mental Escape Days\" to recharge when you need it\n\nImmediate 401(k) enrollment - No waiting period to start saving for your future\n\nGenerous time off - Unlimited PTO, 12 paid company holidays, plus a full week off during our Holiday Break\n\nFamily-first policies - Paid parental leave to support you during life's biggest moments\n\nInvest in yourself - Professional development budget, gym membership stipend, and learning opportunities\n\nCelebrate what matters - Birthday and work anniversary recognition, plus generous employee referral bonuses\n\nHybrid work environment (open to remote pending location), while staying connected with a passionate and talented team","description_format":"text","description_chars":6475,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Gym membership","Hybrid work","Parental leave","Professional development","Unlimited PTO"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Legal Services","Legal AI"],"lifecycle":[{"event":"open","at":"2026-06-17T23:33:01Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2","filings_12m":2,"filings_prev_12m":2,"green_card_filings_12m":0,"median_offered_wage_usd":187500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.268,"p_room":0.28,"age_days":120,"expected_fill_days":33,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/patlytics-ai-engineer","json_url":"https://alion.io/job/patlytics-ai-engineer.json","meta":{"generated_at":"2026-10-16T15:30:56Z","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":15327,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":14573},"rest":"https://alion.io/mcp/rest/get_company?id=14573"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpatlytics-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%2Fpatlytics-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%2Fpatlytics-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/patlytics-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpatlytics-ai-engineer"}]}