Electrical Engineer at The Bot Company | San Francisco

The Bot CompanyAt The Bot Company, we are on a mission to create an innovative robot designed for every household. Our dedicated team, composed of engineers, designers, and operators, is based in San Francisco and boasts experience from industry leaders like Tesla, Cruise, OpenAI, Google, and Pixar. With a track record of delivering exceptional products to m…

At Thinking Machines Lab, our mission is to enhance humanity's potential through the advancement of collaborative general intelligence. We envision a future where everyone can access the knowledge and tools necessary to leverage AI for their individual needs and objectives.As a team of scientists, engineers, and innovators, we have developed some of the most widely utilized AI products, such as ChatGPT and Character.ai, along with open-weight models like Mistral, and popular open-source projects including PyTorch, OpenAI Gym, Fairseq, and Segment Anything.Role OverviewAt Thinking Machines, we adopt a multimodal-first approach, where multimodality is integral to our scientific goals and infrastructure. We are seeking skilled researchers to push the boundaries of audio capabilities. In this role, you will delve into how audio models can facilitate more natural and efficient communication and collaboration by preserving information and accurately capturing user intent.This position requires strong collaboration across pre-training, post-training, and product development with top-tier researchers, infrastructure engineers, and designers. Here, you will have the chance to influence the foundational capabilities of AI systems that will be utilized by millions globally.This role marries fundamental research with practical engineering, as we do not separate these functions internally. You will be expected to write high-performance code as well as engage with technical reports. It is an ideal position for someone who enjoys both extensive theoretical research and hands-on experimentation while laying the groundwork for how AI learns.Note: This is an evergreen role that remains open continuously to gauge interest in this research area. We receive numerous applications, and there may not always be an immediate match for your skills and experience. Nevertheless, we encourage you to apply, as we routinely review applications and reach out as new opportunities arise. You are welcome to reapply if you gain additional experience, but please avoid applying more frequently than every six months. Occasionally, we also post specific roles for distinct project or team needs, in which case you are welcome to apply directly alongside an evergreen submission.

Join Paraform, a leading recruiting platform that empowers top-tier recruiters to accelerate the hiring process for critical roles. Our platform has enabled notable companies such as Shopify, Palantir, Coinbase, Decagon, and Ramp to streamline their talent acquisition efforts.We are actively seeking a product-focused Software Engineer who is passionate about transforming the recruiting industry. This role presents an exciting opportunity to influence the vast resources allocated to staffing and recruitment annually, estimated in the hundreds of billions.As a member of our team, you will have end-to-end ownership of projects, utilizing one of the most valuable data sets in recruiting to tackle hiring challenges at scale. Your contributions will have a substantial impact on the lives of millions and will help redefine industry standards worldwide.Here are some intriguing challenges you will address:Develop intelligent algorithms for matching millions of candidates with companies using our proprietary data sources.Design innovative monetary and social incentives to enhance recruiter performance and earnings.Create essential tools for recruiter workflows that facilitate precise candidate matching (including AI notetakers, email sequencing tools, and browser extensions).Establish a new standard for how candidates discover their ideal jobs through recruiters, laying the groundwork for the next LinkedIn.Explore inventive strategies for increasing marketplace liquidity in emerging fields such as Legal, Finance, and Healthcare.About Paraform:Paraform is on a mission to modernize the fragmented hiring landscape, partnering with industry leaders like Cursor, Palantir, Windsurf, Decagon, Shopify, Coinbase, and Hightouch to attract world-class talent. Our rapid growth has seen us achieve an impressive 8× increase in revenue last year.As the first comprehensive AI recruiting marketplace, we connect companies with thousands of specialized recruiters and AI agents, ensuring a faster and more accurate hiring process.Our goal is to make hiring efficient, reliable, and scalable for every organization globally.

About HebbiaHebbia is an innovative AI platform designed specifically for investors and bankers, enabling them to generate alpha and maximize returns. Founded in 2020 by George Sivulka and supported by notable investors like Peter Thiel and Andreessen Horowitz, Hebbia is transforming investment strategies for leading firms including BlackRock, KKR, Carlyle, and Centerview. Our flagship product, Matrix, is renowned for its unmatched accuracy, speed, and transparency in AI-driven analysis, managing assets exceeding $30 trillion globally.At Hebbia, we equip finance professionals with unparalleled intelligence that not only uncovers hidden signals but also accelerates decision-making processes. We revolutionize capital deployment, risk management, and value creation across markets, ensuring our clients remain leaders in their fields.The RoleAs an Engineering Manager at Hebbia, you will play a pivotal role as a technical leader, actively involved in coding, architecture decisions, and guiding your team through complex challenges. This position is not solely about management; it demands strong technical skills and a hands-on approach. You will be responsible for setting the technical direction, resolving blockers, elevating quality standards, and delivering products that our clients depend on for informed investment decisions.Collaboration is key in this role, as you will partner with your product counterpart to drive initiatives and, in their absence, take the lead on product direction. A deep understanding of product intuition and business acumen is essential, alongside your technical expertise. You will also be tasked with hiring, mentoring, and developing your team members to foster their growth. Expect our interview process to reflect our work culture, including discussions on systems design, coding, architecture, and leadership.

Join Our Team at KernelAt Kernel, we are revolutionizing the way developers interact with the digital world through our innovative platform, offering Lightning-Fast Browsers-as-a-Service for seamless browser automation and advanced web agents. Our cutting-edge API and MCP server empower developers to effortlessly launch browsers in the cloud, eliminating the complexities of infrastructure management.Our serverless browser platform takes the hassle out of autoscaling, reliability, and observability, allowing developers to concentrate on their agents' functionality rather than the underlying processes. Kernel transforms AI into a practical and impactful tool, enabling developers to deploy agents that can genuinely engage with online environments.Trusted by industry leaders such as Cash App and Rye for applications ranging from comprehensive research to QA automation and real-time web analysis, we have successfully raised $22M from prominent investors including Accel, YCombinator, and others.With just one line of code, any web agent can be deployed to our cloud—what happens next is up to you. If you are passionate about creating essential infrastructure for the future of AI applications, we would love to connect.

About CodeRabbitCodeRabbit is a pioneering research and development firm that specializes in crafting highly efficient human-machine collaboration systems. Our mission is to develop the next wave of AI-driven code review solutions—a collaborative synergy between human creativity and advanced algorithms that surpasses the capabilities of individual engineers. By integrating state-of-the-art language models with human insight, we aim to redefine the standards of software development efficiency and quality.Role OverviewAs a DevOps Engineer at CodeRabbit, you will be instrumental in scaling, securing, and fortifying the infrastructure that supports our AI-powered developer tools. Collaborating with our platform engineers, backend team, and applied AI specialists, you will ensure our systems are robust, observable, high-performing, and easy to deploy.This position is hands-on and tailored for an individual who excels in a dynamic environment, takes initiative in managing critical infrastructure, and is eager to develop tools that empower an ambitious engineering team.ResponsibilitiesDesign, implement, and manage scalable CI/CD pipelines.Develop and oversee infrastructure as code (e.g., Terraform, Pulumi).Enhance system reliability through effective monitoring, alerting, logging, and failover strategies.Collaborate with platform and backend teams to identify and mitigate performance bottlenecks.Contribute to deployment workflows, environment automation, and developer tooling enhancements.Ensure that infrastructure security and compliance measures are rigorously enforced.

About the RoleAs a pivotal technical founder, you will be responsible for crafting the entire product interface of Known. This includes developing an engaging mobile application, establishing backend systems for seamless matching and communication, and implementing API integrations that simplify the dating experience. You will create features that combine stunning user interfaces, intelligent data workflows, and third-party services to deliver a truly enchanting consumer experience.You will collaborate closely with the founding team, which includes experts in AI/ML, product development, and design, to transform innovative product concepts into functional code. This high-ownership position allows you to design systems, make significant technical choices, and directly influence how millions of users interact with Known.ResponsibilitiesDevelop and launch mobile applications using React Native that are fast, enjoyable, and user-friendly, covering everything from onboarding processes to real-time messaging and match exploration.Create and uphold backend services utilizing Node.js/TypeScript, including RESTful APIs, WebSocket connections for real-time chatting, and WebRTC integrations for audio and video functionalities.Integrate third-party solutions such as OpenAI/Anthropic LLMs, Apple/Google Pay, reservation systems, and SMS/push notifications to provide seamless, automated interactions.Collaborate with AI/ML engineers to present model outputs—like compatibility scores, tailored recommendations, and conversational agents—through intuitive user interfaces and efficient APIs.Manage infrastructure and deployments on contemporary cloud platforms, ensuring reliability, security, and scalability as the user base expands.Implement analytics and monitoring to evaluate user engagement, conversion pathways, and overall product health in real-time.Requirements3–5 years of experience in building production-level fullstack or mobile applications, preferably within consumer products or startup environments.Proficient in TypeScript, React, React Native, and Node.js.Demonstrated experience in designing and optimizing RESTful APIs with a focus on performance, security, and maintainability.Solid understanding of Postgres—comfortable with data modeling, query optimization, indexing, and database performance.Familiarity with cloud platforms (AWS, GCP, Vercel) for hosting and deployment.

About the RoleJoin us as a pivotal technical founder at Known, where you will be responsible for developing the back-end systems and infrastructure that drive our innovative platform. Your expertise will shape the APIs that cater to millions of requests, establish real-time communication frameworks for voice and text interactions, and create data architectures that facilitate intelligent matching on a large scale. You will design robust, high-performance systems primed for growth alongside our expanding user base.In collaboration with our founding team, including specialists in AI/ML, full-stack development, product management, and design, you will architect back-end services that effectively manage complex workflows. This includes streaming LLM responses, processing payments, handling batch matching jobs, and enabling real-time chat functionalities, all while ensuring simplicity and enhancing developer efficiency. This is a high-responsibility position where your decisions will lay the groundwork for the future scalability of Known.ResponsibilitiesDesign and develop scalable back-end services using Node.js/TypeScript, including RESTful APIs, background job processing, and data pipelines for real-time and batch operations.Architect and enhance database systems with Postgres, focusing on schema design, query optimization, indexing strategies, and data integrity at scale.Build real-time communication infrastructures utilizing WebSockets for chat and WebRTC for audio/video, ensuring minimal latency and maximum reliability.Integrate and oversee third-party services (such as OpenAI/Anthropic LLMs, Google/Apple Pay, reservation platforms, and notification services) with effective error handling and monitoring.Collaborate with AI/ML engineers to construct APIs and data pipelines that support model predictions, manage training data collection, and facilitate experimentation workflows.Take charge of infrastructure, deployment, and observability — develop CI/CD pipelines, implement monitoring and alerting systems, optimize cloud expenses, and guarantee system reliability as user traffic increases.Design for performance and scalability — implement caching strategies, optimize API response times, and architect systems capable of accommodating significant growth without necessitating rewrites.Requirements4–6 years of experience in building production back-end systems, preferably for consumer products, high-traffic applications, or startups.Strong proficiency in TypeScript and Node.js, with a thorough understanding of asynchronous programming techniques.

At Comulate, we're revolutionizing the insurance back office through the power of artificial intelligence. Our innovative platform is designed to streamline costly and labor-intensive accounting processes, marking a pivotal step in our mission to unlock the vast capital tied up in manual insurance operations. Following our Series B funding announced in early 2025, led by BOND & Workday, we are poised for record growth and ambitious expansion plans.

Join our dynamic team at reteam as a Software Engineer in the vibrant city of San Francisco! We are seeking innovative and driven individuals to contribute to our technology initiatives.In this role, you will have the opportunity to work on exciting projects that push the boundaries of software development.

Join the Beam Team!At Beam, we are revolutionizing the construction industry by eliminating the inefficiencies caused by excessive paperwork, tedious administrative tasks, and inadequate financial tracking. Our innovative software and financial tools empower builders across America, allowing them to concentrate on their core strengths.Our cutting-edge product integrates fintech and artificial intelligence into construction workflows, enhancing everything from project estimations to bill payments and expense management. This approach not only boosts efficiency but also enables a greater number of projects to commence successfully.Backed by renowned investors like Accel, Zigg, and Susa, our dynamic team operates from a stunning office in San Francisco’s Financial District. Our members hail from prestigious companies such as Stripe, Pipe, Traba, and Fieldwire.

Join our innovative team at leverdemo193 as a Backend Engineer, where you will play a pivotal role in developing robust server-side applications. You will be responsible for managing data interchange between servers and users, focusing on the development of all server-side logic, maintaining the central database, and ensuring optimal performance and responsiveness to front-end requests. Collaboration is key, as you will also integrate front-end elements created by your colleagues into the application. A fundamental understanding of front-end technologies is beneficial for this role.

About Fable SecurityIn today's landscape, AI-driven threats and human errors pose the greatest risks to enterprise security.Cybercriminals primarily target individuals rather than systems, with human errors accounting for 70% of security breaches. At Fable, we are committed to transforming individuals from potential targets into a robust layer of defense.Fable is the pioneering human risk platform that actively influences employee behavior. Our user-friendly, enterprise-grade platform consolidates diverse employee data, identifies risky actions, and delivers tailored interventions in real time, directly within their work environment.Supported by notable investors such as Redpoint Ventures and Greylock Partners, and founded by former team members of Abnormal Security, Fable is addressing one of cybersecurity's most pressing challenges in a multi-billion-dollar market. Our dynamic team comprises alumni from prestigious organizations like Meta, Twitter, Flexport, and esteemed universities including Waterloo, Columbia, Berkeley, Purdue, CMU, Stanford, UCLA, and USC. Join us at this pivotal moment in our growth journey to help shape the future of security.

Join Juicebox as a Software EngineerAt Juicebox, we are dedicated to empowering teams to overcome the challenges of talent acquisition.In today’s AI-driven world, human creativity is a priceless asset. In the competitive recruitment landscape, it's crucial to be proactive.Our platform is trusted by innovators at Ramp, Perplexity, and top AI laboratories, alongside over 3,000 clients ranging from dynamic startups to Fortune 500 giants.With a remarkable growth trajectory, having surpassed $10M in ARR with over 20% monthly growth, Juicebox is recognized as one of the fastest-expanding AI SaaS companies globally.We have successfully secured $36M in funding, including a notable $30M Series A led by Sequoia Capital, with participation from Coatue, NFDG, Lux Capital, Y Combinator, and BOND Capital.Your Role: As a Software Engineer, you will significantly influence our engineering strategies, collaborating closely with founders on critical inquiries such as:How can we enhance the ranking of profile results?What innovative filters or data sources can we integrate into our search engine?How can we ensure an exceptional user experience within the first five minutes of joining Juicebox?You will be responsible for designing, developing, and deploying product features end-to-end, many of which will leverage Large Language Models (LLMs).Recent initiatives have included fine-tuning models to extract pertinent insights from user profiles and establishing feedback loops to enhance search queries.Our technology stack features Next.js + React, Node.js, OpenSearch (Elasticsearch), AWS SQS, Spark, and various inference providers and LLMs.About YouYou have experience building projects from the ground up—whether a startup, significant project, or feature.You thrive in fast-paced environments and take ownership of your projects.You are hands-on, swift in execution, and learn best through practical application.You have demonstrated excellence in your education, work history, or in projects you've undertaken.You are willing to take calculated risks.You possess familiarity with our core technology stack: Next.js, AWS, etc.

Position OverviewJoin Onyx, a leading open-source project with a vibrant community of over 300,000 users, contributing to a platform that has garnered more than 13,000 stars on GitHub. As a Fullstack Engineer, you will have the chance to make a significant impact in a project that has the potential to reach millions globally. Your ContributionAs one of the early team members, you will be instrumental in defining our core product. Help us establish Onyx as the premier “GenAI for work” application worldwide. This role is based in our San Francisco office.Your responsibilities will include:Designing a user-friendly interface for our GenAI Chat, Enterprise Search, Agents, and Admin features.Enhancing backend functionalities and APIs to support our growing needs.Refining the search pipeline for better flexibility and quality, developing a semantic understanding of customer organizations, and improving permission and access controls.Implementing cutting-edge NLP techniques, such as LLM-based Knowledge Graphs and StructRAG, to broaden the system’s question-answering capabilities (AI/deep learning experience is not mandatory).Taking ownership of the entire development lifecycle of new features, from ideation to deployment.Collaborating closely with founders and the team to influence product direction and contribute to our engineering strategy. Success Factors1-5 years of practical software engineering experience in developing real-world applications.Proficiency in Typescript, React, NextJS, Python, and relational databases (Postgres).A passion for working in a dynamic startup environment with minimal processes.Strong communication skills and the ability to work collaboratively with both teammates and external stakeholders.⭐ Additional AdvantagesFamiliarity with Docker, Kubernetes, cloud platforms (AWS, GCP, Azure), and both on-premise and cloud deployments.An interest or experience in AI technologies (NLP, Deep Learning, GenAI) and information retrieval.Background as a founder or early engineer at a seed or series-A startup.

Join the Mercor TeamAt Mercor, we are pioneers at the crossroads of labor markets and artificial intelligence research. Collaborating with top AI labs and enterprises, we provide the crucial human intelligence that drives AI development.Our extensive talent network empowers more than 30,000 experts who collectively generate over $2 million a day, training cutting-edge AI models by sharing invaluable knowledge and context that goes beyond mere code. We are dedicated to establishing a new work paradigm where expertise fuels AI progress, and we are looking for driven individuals to join our ambitious and fast-paced team.As a profitable Series C company valued at $10 billion, Mercor emphasizes teamwork in our new San Francisco headquarters, where we work in-person five days a week.Your Role as a Data EngineerWe are seeking a passionate Data Engineer who can bring a full-stack perspective to our data functions. In this role, you will create and maintain robust data pipelines that support our Data Science, Engineering, and Product teams, ensuring seamless data flow across the Mercor organization.Your primary focus will be on data reliability, availability, and timeliness, working closely with our Data Science team and various partner functions to enhance our data capabilities.Key ResponsibilitiesDeveloping robust data pipelines to ingest, transform, and consolidate data from various sources, such as MongoDB, Airtable, and production databases.Designing dbt models and transformations to standardize and unify disparate data tables into clean, production-ready schemas.Implementing scalable and fault-tolerant data workflows using tools like Fivetran, dbt, SQL, and Python.Collaborating with engineers, data scientists, and business stakeholders to ensure data accuracy, availability, and usability.Owning data quality and reliability from ingestion to consumption across the data stack.Continuously monitoring and enhancing pipeline performance and scalability.QualificationsProven experience in data engineering, with strong proficiency in SQL, Python, and modern data stack tools such as Fivetran, dbt, Snowflake, or similar.Experience in building and maintaining large-scale data pipelines and workflows.Strong problem-solving skills and a collaborative mindset, with a focus on effective communication.

Join Our Team as a Customer EngineerTavus is at the forefront of human computing innovation. We are dedicated to creating AI Humans—an interface designed to seamlessly connect people and machines, eliminating the barriers present in existing technologies. Our advanced real-time human simulation models empower machines to perceive, respond, and engage as if they were human, facilitating genuine conversations.Imagine a world where everyone has access to an affordable therapist, a personal trainer that fits your lifestyle, or a team of medical assistants dedicated to providing personalized care. With Tavus, developers, enterprises, and individuals can harness AI Humans to connect, comprehend, and act with empathy at scale.As a Series B company, we take pride in our backing from renowned investors like Sequoia Capital, Y Combinator, and Scale Venture Partners. Join us in crafting a future where humans and machines truly understand one another.Role OverviewThis role transcends conventional engineering jobs. As a Customer Engineer, you will navigate two dynamic environments:Customer Engagement (30–40%) — Collaborate directly with clients to troubleshoot integrations, facilitate adoption, and assist them in creating exceptional solutions with Tavus.Product Development (remaining time) — Create SDKs, prototypes, and enhancements to our core platform, ensuring Tavus remains powerful, user-friendly, and enjoyable.You will serve as a vital link between our customers and the engineering team, transforming real-world challenges into actionable product improvements. Your goal is straightforward: guarantee that every developer and creator enjoys a seamless and captivating experience with Tavus, supported by comprehensive documentation, guides, tools, and product advancements.Key ResponsibilitiesEngage directly with clients to debug issues, develop proof of concepts, and design tailored solutions.Construct prototypes, SDKs, sample applications, and tools that enhance the developer experience.Gather user feedback, recognize patterns, and translate insights into product and engineering enhancements.Collaborate on early feature adoption by testing pre-release features with customers, collecting feedback, and proposing iterative improvements.Contribute to the definition of a world-class customer experience.

Join Our Innovative TeamAt Tonic, we are a dedicated group of creators who believe in connecting individuals through the joy of music, celebrating progress, and sharing experiences along the artistic path. Our team is diverse and spread across various locations, and we are committed to fostering an inclusive and equitable workplace for individuals from all backgrounds. We strongly encourage applications from underrepresented communities, including women, people of color, and LGBTQ individuals.If you think you could be a great fit for this role, even if you don’t perfectly match every criterion, we want to hear from you. Your unique skills may be exactly what we are looking for.Core Values• You thrive in a high-responsibility environment.• You are deeply committed to personal growth and self-reflection.• You treat your colleagues with kindness and celebrate their successes.• Your curiosity drives you to explore and learn continuously, fascinated by the motivations of others.• You value the human aspect of technology and aim to enhance it.What We’re Looking For• 5+ years of experience in high-growth startups, consumer products, or social applications.• Proficiency in React Native, Typescript, and Firebase.• A product and design-oriented mindset.• A desire to learn and explore new areas of the tech stack.• An open mind to new ideas and emerging technologies.• Bonus: Experience with or learning a musical instrument is a plus!Your Role• Engage with our current codebase, infrastructure, and team processes.• Collaborate with the Design Team to prioritize and implement designs effectively.

At Magic, we are on a mission to develop safe AGI that propels humanity's progress in addressing the world's most significant challenges. We believe that automating research and code generation is the most promising pathway to achieving safe AGI, enabling us to enhance models and address alignment issues more reliably than humans can achieve alone. Our innovative approach integrates frontier-scale pre-training, domain-specific reinforcement learning, ultra-long context, and inference-time computing to realize our vision.About the RoleAs a Software Engineer at Magic, you will engage in developing core systems and product surfaces that directly influence model capabilities and enhance user experience.This position can align with areas such as Pre-training Data, RL Research & Environments, or Product Development, depending on your background and expertise. Regardless of placement, you will be expected to take full ownership of your work: identifying problems, crafting solutions, deploying to production, and iterating based on real-world results.Working with Magic's long-context models presents unique technical challenges, including large-scale data acquisition, long-horizon post-training loops, and developing product workflows that make complex model behaviors understandable and manageable. You will work closely with these constraints, creating systems that are both technically sound and production-ready.This role has the potential to evolve into a deeper specialization in data systems, post-training capability enhancement, or product engineering leadership based on your strengths and interests.What You'll Work OnDepending on your team assignment, your tasks may include:Developing and scaling large distributed data pipelines for pre-trainingDesigning filtering, mixture, and dataset versioning systemsCreating post-training datasets, evaluation frameworks, and reward pipelinesConducting ablations that translate capability goals into quantifiable improvementsBuilding comprehensive product interfaces that integrate seamlessly with the modelDesigning APIs, backend services, and frontend workflows for AI-first experiencesEnhancing the reliability, observability, and performance of production systemsWhat We’re Looking ForSolid foundation in software engineering principlesHigh ownership and comfort in navigating ambiguous problem domainsProven experience in building scalable production systemsAbility to reason through complex technical challenges

Join Layerfi as a Backend EngineerAt Layerfi, we are revolutionizing the accounting landscape for small and medium-sized businesses (SMBs). With a decade of experience, we’ve established a powerful ecosystem of software tools that facilitate various business operations. However, the accounting sector has fallen behind, leaving SMBs to struggle with disjointed software and costly bookkeeping services.We are creating a cutting-edge accounting software that seamlessly integrates with the existing tools that SMBs rely on daily. Our platform empowers software companies to deliver modern accounting solutions and bookkeeping services to their clients, eliminating the need for outdated tools and expensive bookkeepers.Your RoleWe seek engineers who aspire to build not just products but also a strong team and company. This requires a blend of technical expertise across our tech stack along with unique skills such as:Forward-thinking coupled with a deep understanding of customer needs.A keen curiosity about technical and business challenges.Ability to navigate competing priorities while aligning with company objectives.A strong sense of ownership in product and team decisions.A passion for collaboration and enhancing the strengths of your colleagues.Our ideal candidates typically possess:A minimum of 2 years of experience in robust software development teams.Experience navigating the highs and lows of product development from inception to launch.A proven track record in team leadership and growth.We value proactive individuals who are eager to tackle challenges and seize opportunities, and we welcome those who reach out even if they don’t precisely meet the criteria.Our Technology StackWe do not focus on how familiar candidates are with our specific tech stack. One of the advantages of hiring exceptional engineers is our confidence in their ability to adapt and learn quickly, with support from the team. However, we do want all candidates to feel excited about the tools and environment they will engage with from day one.API language: KotlinEmbedded components: ...