{"schemaVersion":"jobsearcher.job.v1","id":"734abbd4d1a233ec49e84fc7","url":"https://jobsearcher.com/jobs/734abbd4d1a233ec49e84fc7","canonicalUrl":"https://jobsearcher.com/jobs/734abbd4d1a233ec49e84fc7","title":"Founding Engineer","description":"About Auriko\nAuriko is building the market infrastructure for AI inference.\nOur current product is an inference platform built with quantitative trading rigor. It enables AI teams to quickly switch models across inference providers and optimize inference cost.\nOur team comes from quantitative trading and high-frequency derivatives backgrounds, with experience building, trading, and risk-managing complex systems at scale.\nRole\nYou will work with the quantitative researchers and own the production systems that serve the platform’s routing, pricing, and risk models.\nYou would be responsible for:\nRouting and optimization engine: productionize constrained optimization models that filter, score, and select providers across requests, subject to user constraints such as latency, cost, and uptime, as well as platform constraints such as capacity and rate limits\nPredictive signal infrastructure: build the serving layer for quantitative performance and risk signals, including latency distributions, provider health forecasts, and pricing changes, that feed real-time routing decisions at the edge\nData pipeline: build and maintain quant-grade data collection, transformation, and serving infrastructure for platform measurements, including token usage, realized costs, TTFT, success and failure rates, and provider health signals, to specifications defined by the research team\nBacktesting and simulation: build frameworks to evaluate routing strategies under stress scenarios, including provider degradation, price changes, capacity shocks, and partial outages\nMetrics and validation: build aggregation logic for operational metrics such as P50/P95 latency, uptime, and error rates, data integrity validation, and holdout testing to confirm model improvements against defined targets\nProvider integrations: build and maintain adapters across a growing set of LLM providers, each with its own API shape, streaming behavior, and failure modes\nBilling and metering: build accurate usage tracking across providers with fundamentally different pricing models\nSDKs: build Python and TypeScript clients that serve as drop-in replacements for existing provider SDKs\nRequirements\nProduction backend systems experience in Python and TypeScript\nExperience productionizing quantitative, optimization, or ML models into low-latency serving systems\nComfort with numerical computing: you can read an optimization spec, implement it, debug it, and reason about edge cases\nDistributed systems experience: multi-region services, consistency tradeoffs, and debugging under real load\nStrong Pluses\nBackground in quant finance, trading systems, or fintech infrastructure\nEdge compute, including CDN-layer request handling and globally distributed systems\nBilling or metering systems where precision is a hard requirement\nSDK design and API ergonomics\nFamiliarity with LLM provider APIs such as OpenAI, Anthropic, Google, Mistral, etc.\nWe are building a small, high-agency team. We value ownership, intellectual honesty, independent thinking, and fast execution. We care about substance over appearance.\nWe believe in identifying high-agency, driven talent and incentivizing them to do exceptional work. Our compensation package is market-leading, with meaningful equity upside.\nAuriko sponsors work visa.\nContact\njoin@auriko.ai\nPay: $120,000.00 - $250,000.00 per year\nBenefits:\n401(k)\nDental insurance\nFlexible schedule\nHealth savings account\nPaid time off\nParental leave\nRelocation assistance\nRetirement plan\nVision insurance\nWork Location: In person","company":"Auriko Ai","rawCompany":"auriko ai","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T18:57:32.300Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Founding Engineer","description":"About Auriko\nAuriko is building the market infrastructure for AI inference.\nOur current product is an inference platform built with quantitative trading rigor. It enables AI teams to quickly switch models across inference providers and optimize inference cost.\nOur team comes from quantitative trading and high-frequency derivatives backgrounds, with experience building, trading, and risk-managing complex systems at scale.\nRole\nYou will work with the quantitative researchers and own the production systems that serve the platform’s routing, pricing, and risk models.\nYou would be responsible for:\nRouting and optimization engine: productionize constrained optimization models that filter, score, and select providers across requests, subject to user constraints such as latency, cost, and uptime, as well as platform constraints such as capacity and rate limits\nPredictive signal infrastructure: build the serving layer for quantitative performance and risk signals, including latency distributions, provider health forecasts, and pricing changes, that feed real-time routing decisions at the edge\nData pipeline: build and maintain quant-grade data collection, transformation, and serving infrastructure for platform measurements, including token usage, realized costs, TTFT, success and failure rates, and provider health signals, to specifications defined by the research team\nBacktesting and simulation: build frameworks to evaluate routing strategies under stress scenarios, including provider degradation, price changes, capacity shocks, and partial outages\nMetrics and validation: build aggregation logic for operational metrics such as P50/P95 latency, uptime, and error rates, data integrity validation, and holdout testing to confirm model improvements against defined targets\nProvider integrations: build and maintain adapters across a growing set of LLM providers, each with its own API shape, streaming behavior, and failure modes\nBilling and metering: build accurate usage tracking across providers with fundamentally different pricing models\nSDKs: build Python and TypeScript clients that serve as drop-in replacements for existing provider SDKs\nRequirements\nProduction backend systems experience in Python and TypeScript\nExperience productionizing quantitative, optimization, or ML models into low-latency serving systems\nComfort with numerical computing: you can read an optimization spec, implement it, debug it, and reason about edge cases\nDistributed systems experience: multi-region services, consistency tradeoffs, and debugging under real load\nStrong Pluses\nBackground in quant finance, trading systems, or fintech infrastructure\nEdge compute, including CDN-layer request handling and globally distributed systems\nBilling or metering systems where precision is a hard requirement\nSDK design and API ergonomics\nFamiliarity with LLM provider APIs such as OpenAI, Anthropic, Google, Mistral, etc.\nWe are building a small, high-agency team. We value ownership, intellectual honesty, independent thinking, and fast execution. We care about substance over appearance.\nWe believe in identifying high-agency, driven talent and incentivizing them to do exceptional work. Our compensation package is market-leading, with meaningful equity upside.\nAuriko sponsors work visa.\nContact\njoin@auriko.ai\nPay: $120,000.00 - $250,000.00 per year\nBenefits:\n401(k)\nDental insurance\nFlexible schedule\nHealth savings account\nPaid time off\nParental leave\nRelocation assistance\nRetirement plan\nVision insurance\nWork Location: In person","datePosted":"2026-08-03T18:57:32.300Z","dateModified":"2026-08-03T18:57:32.300Z","hiringOrganization":{"@type":"Organization","name":"Auriko Ai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"734abbd4d1a233ec49e84fc7"},"url":"https://jobsearcher.com/jobs/734abbd4d1a233ec49e84fc7"}}