{"schemaVersion":"jobsearcher.job.v1","id":"6de549230a5fb128be210ef6","url":"https://jobsearcher.com/jobs/6de549230a5fb128be210ef6","canonicalUrl":"https://jobsearcher.com/jobs/6de549230a5fb128be210ef6","title":"Founding Engineer","description":"About Us\nDouble Blind Bio automates administrative tasks, allowing clinical staff to focus on what matters most: patient care and advancing science. We’re building a future where clinical trials operate more autonomously by connecting sites, sponsors, and their data using AI. Our mission is to accelerate the delivery of cutting-edge therapeutics from development to market by building intelligent software that streamlines clinical trial operations.\nTo date, we’ve raised over $7 million in funding from our co-lead investors, SignalFire and Define Ventures, to accelerate this vision. Currently, we’re used by over 200 clinical research sites and have a handful of sponsor customers.\nThe Vision\nWe exist to accelerate scientific development and improve human well-being by increasing the efficacy of medicines worldwide. Today, bringing a drug to market takes over 10 years and $1-2 billion, with clinical trials consuming the bulk of the time and resources, not drug discovery.\nImagine if you could cut the time and/or cost of running a clinical trial in half. According to the Jevons paradox, as costs drop, demand for running clinical trials would rise, allowing more candidate therapies and more niche treatments to be tested and to reach the market. Clinical trial operations sit at the center of this and are the problem Double Blind Bio is solving for.\nAbout the Role\nAs an AI-focused Software Engineer at Double Blind Bio, you will help build and operate intelligent systems that transform how clinical trials run: reducing administrative burden and accelerating the development of life-saving medicines. This is a high-impact, product-first role where your work directly contributes to improving patient outcomes and advancing scientific research.You will be a core contributor on a fast-moving, early-stage team, owning AI-powered features end-to-end and helping shape both the product and technical foundation. You are a software generalist who brings genuine depth in AI systems—not just in building them, but in measuring, evaluating, and improving them over time. You have strong instincts around when AI is working, when it isn't, and how to tell the difference.This role is ideal for engineers who thrive at the intersection of AI, healthcare, and product development, and who are energized by high ownership, rapid iteration, and close collaboration with users.\nResponsibilities\nDesign, build, and deploy agentic AI systems that power web experiences and automate clinical workflows\nOwn the full eval lifecycle—define what \"good\" looks like for AI outputs, build evaluation datasets, author metrics, and run structured evals to measure model and pipeline quality\nInstrument AI systems for observability—trace LLM calls, monitor output quality, detect regressions, and build tooling that gives the team visibility into how AI is behaving in production\nDevelop and maintain RAG pipelines, prompt chains, and AI-driven features with a systematic approach to improvement\nArchitect and optimize full-stack applications, including frontend, backend, infrastructure, and data pipelines\nOwn features end-to-end—from ideation and design through deployment, monitoring, and iteration\nCollaborate with product, founders, and customers to understand needs and deliver impactful solutions\nContribute to engineering processes, architecture, and best practices as an early team member\nParticipate in customer conversations to better understand workflows and continuously improve the product\n\nQualifications\nStrong full-stack engineering experience, with the ability to build and ship production-ready applications\nGenuine depth in AI/ML systems—you understand how models behave, how to evaluate outputs rigorously, and how to think about failure modes beyond \"the model got it wrong\"\nExperience designing and running evals—you've built evaluation sets, defined metrics, and used data to drive decisions about AI system quality\nStrong observability instincts—you know how to instrument pipelines, trace model calls, and build feedback loops that surface problems before users do\nExperience building with LLMs in production (RAG, agents, prompt engineering, fine-tuning, or similar)\nProduct-oriented mindset with a focus on solving real user problems\nComfort working across disciplines and learning new domains (e.g., healthcare, life sciences, data systems)\nAbility to work in a fast-paced, evolving environment with high ownership and autonomy\nStrong communication skills and willingness to collaborate across teams and with customers\n\nPreferred\nExperience with ML evaluation frameworks, LLM observability tooling (e.g., LangSmith, Braintrust, Weights & Biases, Honeyhive, or similar)\nFamiliarity with statistical thinking around model evaluation—confidence intervals, human-in-the-loop review, A/B testing of AI outputs\nExperience building agentic workflows or multi-step AI pipelines\nFamiliarity with healthcare, life sciences, or clinical research workflows\nExperience working in early-stage startups or founding teams\nDeep expertise in at least one area of the stack (frontend, backend, infrastructure, or AI systems)","company":"Double Blind Bio","rawCompany":"double blind bio","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-23T03:27:48.295Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Founding Engineer","description":"About Us\nDouble Blind Bio automates administrative tasks, allowing clinical staff to focus on what matters most: patient care and advancing science. We’re building a future where clinical trials operate more autonomously by connecting sites, sponsors, and their data using AI. Our mission is to accelerate the delivery of cutting-edge therapeutics from development to market by building intelligent software that streamlines clinical trial operations.\nTo date, we’ve raised over $7 million in funding from our co-lead investors, SignalFire and Define Ventures, to accelerate this vision. Currently, we’re used by over 200 clinical research sites and have a handful of sponsor customers.\nThe Vision\nWe exist to accelerate scientific development and improve human well-being by increasing the efficacy of medicines worldwide. Today, bringing a drug to market takes over 10 years and $1-2 billion, with clinical trials consuming the bulk of the time and resources, not drug discovery.\nImagine if you could cut the time and/or cost of running a clinical trial in half. According to the Jevons paradox, as costs drop, demand for running clinical trials would rise, allowing more candidate therapies and more niche treatments to be tested and to reach the market. Clinical trial operations sit at the center of this and are the problem Double Blind Bio is solving for.\nAbout the Role\nAs an AI-focused Software Engineer at Double Blind Bio, you will help build and operate intelligent systems that transform how clinical trials run: reducing administrative burden and accelerating the development of life-saving medicines. This is a high-impact, product-first role where your work directly contributes to improving patient outcomes and advancing scientific research.You will be a core contributor on a fast-moving, early-stage team, owning AI-powered features end-to-end and helping shape both the product and technical foundation. You are a software generalist who brings genuine depth in AI systems—not just in building them, but in measuring, evaluating, and improving them over time. You have strong instincts around when AI is working, when it isn't, and how to tell the difference.This role is ideal for engineers who thrive at the intersection of AI, healthcare, and product development, and who are energized by high ownership, rapid iteration, and close collaboration with users.\nResponsibilities\nDesign, build, and deploy agentic AI systems that power web experiences and automate clinical workflows\nOwn the full eval lifecycle—define what \"good\" looks like for AI outputs, build evaluation datasets, author metrics, and run structured evals to measure model and pipeline quality\nInstrument AI systems for observability—trace LLM calls, monitor output quality, detect regressions, and build tooling that gives the team visibility into how AI is behaving in production\nDevelop and maintain RAG pipelines, prompt chains, and AI-driven features with a systematic approach to improvement\nArchitect and optimize full-stack applications, including frontend, backend, infrastructure, and data pipelines\nOwn features end-to-end—from ideation and design through deployment, monitoring, and iteration\nCollaborate with product, founders, and customers to understand needs and deliver impactful solutions\nContribute to engineering processes, architecture, and best practices as an early team member\nParticipate in customer conversations to better understand workflows and continuously improve the product\n\nQualifications\nStrong full-stack engineering experience, with the ability to build and ship production-ready applications\nGenuine depth in AI/ML systems—you understand how models behave, how to evaluate outputs rigorously, and how to think about failure modes beyond \"the model got it wrong\"\nExperience designing and running evals—you've built evaluation sets, defined metrics, and used data to drive decisions about AI system quality\nStrong observability instincts—you know how to instrument pipelines, trace model calls, and build feedback loops that surface problems before users do\nExperience building with LLMs in production (RAG, agents, prompt engineering, fine-tuning, or similar)\nProduct-oriented mindset with a focus on solving real user problems\nComfort working across disciplines and learning new domains (e.g., healthcare, life sciences, data systems)\nAbility to work in a fast-paced, evolving environment with high ownership and autonomy\nStrong communication skills and willingness to collaborate across teams and with customers\n\nPreferred\nExperience with ML evaluation frameworks, LLM observability tooling (e.g., LangSmith, Braintrust, Weights & Biases, Honeyhive, or similar)\nFamiliarity with statistical thinking around model evaluation—confidence intervals, human-in-the-loop review, A/B testing of AI outputs\nExperience building agentic workflows or multi-step AI pipelines\nFamiliarity with healthcare, life sciences, or clinical research workflows\nExperience working in early-stage startups or founding teams\nDeep expertise in at least one area of the stack (frontend, backend, infrastructure, or AI systems)","datePosted":"2026-06-23T03:27:48.295Z","dateModified":"2026-06-23T03:27:48.295Z","hiringOrganization":{"@type":"Organization","name":"Double Blind Bio","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6de549230a5fb128be210ef6"},"url":"https://jobsearcher.com/jobs/6de549230a5fb128be210ef6"}}