{"schemaVersion":"jobsearcher.job.v1","id":"115f9913a38d4c1bd3fe0607","url":"https://jobsearcher.com/jobs/115f9913a38d4c1bd3fe0607","canonicalUrl":"https://jobsearcher.com/jobs/115f9913a38d4c1bd3fe0607","title":"Software Engineer","description":"At Stoke, we believe a thriving space economy will enable a vibrant, sustainable, and equitable future here on Earth. That is why we're building Nova, our fully and rapidly reusable launch vehicle. Designed for daily flight, Nova tackles the core challenges of space transportation by reducing cost, increasing availability, and improving reliability. By radically lowering launch costs and increasing flight cadence, we're helping create a truly scalable space industry.\r\nOur team is mission-driven, collaborative, and empowered to take ownership of their work. If you want to work alongside some of the most dedicated and talented people on Earth, we'd love to have you join us.\r\nDescription\r\nReusable launch systems are the key to seamlessly connecting Earth and space. An instrumental ingredient to making reusable launch vehicles is the ability to move fast. That is our goal for Boltline by Stoke Space, our commercial software platform that helps advanced hardware manufacturing teams integrate, track, iterate, build, and test efficiently.\r\nAs a Senior AI Engineer on the Boltline team, you will design, build, and deploy intelligent systems that augment our platform's capabilities—from agentic workflows that automate complex manufacturing processes to RAG pipelines that surface critical institutional knowledge. You'll architect evaluation frameworks to ensure AI reliability, build developer tooling that empowers the team, and integrate LLMs into production systems that accelerate hardware development. The ideal candidate demonstrates deep expertise in applied AI/ML, a high degree of ownership, and curiosity—balancing fast execution with robust, production-grade engineering.\r\nResponsibilities\r\nDesign and implement agentic systems and workflows that automate complex, multi-step manufacturing and engineering processes\r\nBuild and maintain RAG pipelines leveraging vector databases to enable intelligent search and retrieval\r\nDevelop comprehensive evaluation frameworks (evals) to measure, monitor, and improve AI system performance, accuracy, and reliability\r\nCreate developer tooling, SDKs, and internal platforms that accelerate AI adoption across the engineering organization\r\nIntegrate LLM APIs and orchestration frameworks into production applications\r\nDesign end-to-end features across the stack using React, TypeScript, GraphQL, and Postgres\r\nLead technical design discussions and contribute to architectural decisions for AI-powered features\r\nPartner with product and hardware teams to identify high-impact opportunities for AI augmentation\r\nMentor engineers on AI/ML best practices through code reviews, pairing, and design collaboration\r\nParticipate in Boltline Operational Excellence including participating in on-call rotation and other operational activities\r\nQualifications\r\n1-5 years of professional software development experience\r\nHands-on experience building agentic systems, autonomous workflows, or AI-powered automation\r\nExperience building RAG architectures, integrating vector databases, and deploying semantic search implementations\r\nExperience designing and implementing evaluation frameworks for LLM-based systems\r\nProficiency with full-stack development: TypeScript, React, GraphQL, and relational databases\r\nFamiliarity with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks\r\nProven ability to own features from concept through deployment and iteration\r\nExcellent collaboration and communication skills within cross-functional teams\r\nComfort working in a fast-paced, evolving environment with a focus on delivering impact\r\nPreferred Qualifications\r\nDegree in computer science or related field/experience\r\nExperience with prompt/context engineering and fine-tuning\r\nBackground in building developer tools, CLIs, or internal platforms\r\nFamiliarity with Next.js, Apollo (Client/Server), Hasura, or similar\r\nExperience with Docker, Kubernetes/ECS, and AWS infrastructure\r\nFamiliarity with event-driven architectures using Temporal, Kafka, or similar\r\nHands-on experience with observability and monitoring for AI systems\r\nExposure to manufacturing, aerospace, or complex physical systems\r\nInterest in aerospace/manufacturing workflows\r\nBenefits\r\nEquity – We know that our employees are the reason we succeed. To give everyone a stake in our future, we are pleased to offer equity in the form of stock options to all regular, full-time employees.\r\nComprehensive benefits program including subsidized medical, dental, and vision insurance\r\nCompany-paid life and disability insurance\r\n401(k) plan with employer match\r\n4 weeks' Paid Time Off\r\nHolidays – 10 days (including an end-of-year closure)\r\nPaid Family/Parental Leave\r\nOn-site gym or monthly wellness stipend (depending on location)\r\nDog friendly offices!\r\nCompensation\r\nTarget Levels\r\nLevel 1 Range: $98,805 - $148,155\r\nLevel 2 Range: $123,480 - $185,220\r\nLevel 3 Range: $154,350 - $231,525\r\nLevel 4 Range: $192,885 - $289,380\r\nLevel 5 Range: $231,525 - $347,235\r\nOur job posts are intentionally written to attract a wide variety of experience levels, and we make decisions about the right fit on a per-candidate basis.\r\nYour actual level and base salary will be decided based on your specific experience and skill level.\r\nITAR Requirements\r\nTo conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.\r\nEqual Opportunity\r\nThe Company is an Equal Opportunity Employer, including with respect to disability and veteran status. It is committed to compliance with all equal opportunity laws, including the Immigration and Nationality Act (INA) and Title VII. It does not discriminate on the basis of nationality, race, citizenship, immigration status, or any other protected class when it comes to employment practices, including hiring.\r\nEmployment at the Company is contingent upon satisfactory completion of reference and backgroundchecks, and on your ability to prove your identity and authorization to work in the U.S. for the Company. Employees must comply with the United States Citizenship and Immigration Services employment verification requirements, and, therefore, they must complete an Employment Eligibility Verification Form I-9 at the start of employment and re-verify authorization to work periodically.\r\nSeparate from this I-9 process, this position entails access to certain technology and technical data that is restricted under U.S. export control laws and regulations. Employment or continued employment may be conditioned on your legal authorization to work with or have access to export control materials as necessary to perform your job.\r\nE-Verify\r\nStoke Space uses E-Verify to confirm the identity and employment eligibility of all new hires.\r\nJ-18808-Ljbffr","company":"Voiceflow","rawCompany":"voiceflow","city":"Kent","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:30:06.944Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"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":"Software Engineer","description":"At Stoke, we believe a thriving space economy will enable a vibrant, sustainable, and equitable future here on Earth. That is why we're building Nova, our fully and rapidly reusable launch vehicle. Designed for daily flight, Nova tackles the core challenges of space transportation by reducing cost, increasing availability, and improving reliability. By radically lowering launch costs and increasing flight cadence, we're helping create a truly scalable space industry.\r\nOur team is mission-driven, collaborative, and empowered to take ownership of their work. If you want to work alongside some of the most dedicated and talented people on Earth, we'd love to have you join us.\r\nDescription\r\nReusable launch systems are the key to seamlessly connecting Earth and space. An instrumental ingredient to making reusable launch vehicles is the ability to move fast. That is our goal for Boltline by Stoke Space, our commercial software platform that helps advanced hardware manufacturing teams integrate, track, iterate, build, and test efficiently.\r\nAs a Senior AI Engineer on the Boltline team, you will design, build, and deploy intelligent systems that augment our platform's capabilities—from agentic workflows that automate complex manufacturing processes to RAG pipelines that surface critical institutional knowledge. You'll architect evaluation frameworks to ensure AI reliability, build developer tooling that empowers the team, and integrate LLMs into production systems that accelerate hardware development. The ideal candidate demonstrates deep expertise in applied AI/ML, a high degree of ownership, and curiosity—balancing fast execution with robust, production-grade engineering.\r\nResponsibilities\r\nDesign and implement agentic systems and workflows that automate complex, multi-step manufacturing and engineering processes\r\nBuild and maintain RAG pipelines leveraging vector databases to enable intelligent search and retrieval\r\nDevelop comprehensive evaluation frameworks (evals) to measure, monitor, and improve AI system performance, accuracy, and reliability\r\nCreate developer tooling, SDKs, and internal platforms that accelerate AI adoption across the engineering organization\r\nIntegrate LLM APIs and orchestration frameworks into production applications\r\nDesign end-to-end features across the stack using React, TypeScript, GraphQL, and Postgres\r\nLead technical design discussions and contribute to architectural decisions for AI-powered features\r\nPartner with product and hardware teams to identify high-impact opportunities for AI augmentation\r\nMentor engineers on AI/ML best practices through code reviews, pairing, and design collaboration\r\nParticipate in Boltline Operational Excellence including participating in on-call rotation and other operational activities\r\nQualifications\r\n1-5 years of professional software development experience\r\nHands-on experience building agentic systems, autonomous workflows, or AI-powered automation\r\nExperience building RAG architectures, integrating vector databases, and deploying semantic search implementations\r\nExperience designing and implementing evaluation frameworks for LLM-based systems\r\nProficiency with full-stack development: TypeScript, React, GraphQL, and relational databases\r\nFamiliarity with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks\r\nProven ability to own features from concept through deployment and iteration\r\nExcellent collaboration and communication skills within cross-functional teams\r\nComfort working in a fast-paced, evolving environment with a focus on delivering impact\r\nPreferred Qualifications\r\nDegree in computer science or related field/experience\r\nExperience with prompt/context engineering and fine-tuning\r\nBackground in building developer tools, CLIs, or internal platforms\r\nFamiliarity with Next.js, Apollo (Client/Server), Hasura, or similar\r\nExperience with Docker, Kubernetes/ECS, and AWS infrastructure\r\nFamiliarity with event-driven architectures using Temporal, Kafka, or similar\r\nHands-on experience with observability and monitoring for AI systems\r\nExposure to manufacturing, aerospace, or complex physical systems\r\nInterest in aerospace/manufacturing workflows\r\nBenefits\r\nEquity – We know that our employees are the reason we succeed. To give everyone a stake in our future, we are pleased to offer equity in the form of stock options to all regular, full-time employees.\r\nComprehensive benefits program including subsidized medical, dental, and vision insurance\r\nCompany-paid life and disability insurance\r\n401(k) plan with employer match\r\n4 weeks' Paid Time Off\r\nHolidays – 10 days (including an end-of-year closure)\r\nPaid Family/Parental Leave\r\nOn-site gym or monthly wellness stipend (depending on location)\r\nDog friendly offices!\r\nCompensation\r\nTarget Levels\r\nLevel 1 Range: $98,805 - $148,155\r\nLevel 2 Range: $123,480 - $185,220\r\nLevel 3 Range: $154,350 - $231,525\r\nLevel 4 Range: $192,885 - $289,380\r\nLevel 5 Range: $231,525 - $347,235\r\nOur job posts are intentionally written to attract a wide variety of experience levels, and we make decisions about the right fit on a per-candidate basis.\r\nYour actual level and base salary will be decided based on your specific experience and skill level.\r\nITAR Requirements\r\nTo conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.\r\nEqual Opportunity\r\nThe Company is an Equal Opportunity Employer, including with respect to disability and veteran status. It is committed to compliance with all equal opportunity laws, including the Immigration and Nationality Act (INA) and Title VII. It does not discriminate on the basis of nationality, race, citizenship, immigration status, or any other protected class when it comes to employment practices, including hiring.\r\nEmployment at the Company is contingent upon satisfactory completion of reference and backgroundchecks, and on your ability to prove your identity and authorization to work in the U.S. for the Company. Employees must comply with the United States Citizenship and Immigration Services employment verification requirements, and, therefore, they must complete an Employment Eligibility Verification Form I-9 at the start of employment and re-verify authorization to work periodically.\r\nSeparate from this I-9 process, this position entails access to certain technology and technical data that is restricted under U.S. export control laws and regulations. Employment or continued employment may be conditioned on your legal authorization to work with or have access to export control materials as necessary to perform your job.\r\nE-Verify\r\nStoke Space uses E-Verify to confirm the identity and employment eligibility of all new hires.\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:30:06.944Z","dateModified":"2026-08-08T01:30:06.944Z","hiringOrganization":{"@type":"Organization","name":"Voiceflow","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kent","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"115f9913a38d4c1bd3fe0607"},"url":"https://jobsearcher.com/jobs/115f9913a38d4c1bd3fe0607"}}