Join our team and shape user-centric experiences at the intersection of cutting-edge AI and intuitive design. You’ll have real ownership and influence over both product and technology decisions as you build web, mobile, and native clients that directly engage with LLM-based agents, scaled RAG systems, and hybrid search. Your work will be front-and-center, delighting users and guiding the company’s early trajectory. Key Responsibilities: Development of web, mobile, and native clients using TypeScript, React, and modern frontend technologies to create delightful, intuitive user interfaces. Seamlessly integrate frontend experiences with our Python/Postgres backend, ensuring smooth data flow and responsive performance. Incorporate emerging AI/ML capabilities, enabling dynamic, intelligent interactions with LLM agents and RAG-driven features. Continuously improve code quality, maintainability, and performance. Guide junior engineers and help shape a culture centered on accountability, autonomy, and shipping great products. Qualifications: 3-7+ years of hands-on frontend experience with TypeScript and React, delivering high-quality, user-facing solutions. Comfortable working with Python-based backends and building end-to-end product experiences. Track record of tackling complex frontend challenges (e.g., browser plug-ins) and adopting new technologies quickly. Ability to integrate AI/ML-driven features that elevate the user experience. Proven leadership skills, from mentoring engineers to setting technical direction, in a fast-paced startup environment. Our Team: We’re a small, high-performance crew that values first principles thinking, design-driven development, and scientific rigor. We encourage respectful collaboration, rapid iteration, and constant learning. As a core member of the founding team, you’ll enjoy meaningful autonomy, equity, and the chance to shape a product from the ground up—always focused on personal accountability, growth, and SHIPPING CODE! Show more Show less
Join our team as as an AI/ML Engineer, where you will be instrumental in developing an AI-native software that enhances both creativity and productivity for teams and enterprises. This position is ideal for those passionate about leveraging machine learning to create cutting-edge solutions. Key Responsibilities: Build AI enabled products that are fully enabled by the capabilities of LLMs and other recent developments in foundation models. Evaluate and assimilate emerging techniques into our production systems. Build high performance Search and RAG: Data indexing, ranking, query processing Build evaluation frameworks for agent, RAG, and LLM performance: We are taking a polyglot approach to working with LLMs with a strong preference for getting workloads working on open source models. Qualifications: 2-5 years of experience in Software Engineering or end-to-end Data Science. Proficient in Python and data oriented algorithms. Strong background in either distributed data systems or machine learning engineering. Experience with distributed computing frameworks like Ray is a plus. Proven ability to experiment with new techniques and deliver robust production code. We work mostly in python, and have both LlamaIndex and LangChain code in our emerging RAG stack. Other technologies include; Ray, Postgres, Iceberg, Google Cloud, Docker/Kubernetes/Helm Recent demonstrated experience in (and excitement for) building agents, training and evaluating emerging foundation LLMs, building RAG systems and planet scale information retrieval systems, or working with vector databases. We encourage you to share your projects with us! Our Team: We are a pre-seed startup with a compact with a high performance engineering culture that emphasizes personal accountability, autonomy, learning and growth. Led by experienced founders, our approach is design-centric, underpinned by market analysis, user research, and a dedication to scientific thinking and automation. We value intelligence, respectful collaboration, and SHIPPING CODE!
Join our team as as an AI/ML Engineer, where you will be instrumental in developing an AI-native software that enhances both creativity and productivity for teams and enterprises. This position is ideal for those passionate about leveraging machine learning to create cutting-edge solutions. Key Responsibilities: Build AI enabled products that are fully enabled by the capabilities of LLMs and other recent developments in foundation models. Evaluate and assimilate emerging techniques into our production systems. Build high performance Search and RAG: Data indexing, ranking, query processing Build evaluation frameworks for agent, RAG, and LLM performance: We are taking a polyglot approach to working with LLMs with a strong preference for getting workloads working on open source models. Qualifications: 2-5 years of experience in Software Engineering or end-to-end Data Science. Proficient in Python and data oriented algorithms. Strong background in either distributed data systems or machine learning engineering. Experience with distributed computing frameworks like Ray is a plus. Proven ability to experiment with new techniques and deliver robust production code. We work mostly in python, and have both LlamaIndex and LangChain code in our emerging RAG stack. Other technologies include; Ray, Postgres, Iceberg, Google Cloud, Docker/Kubernetes/Helm Recent demonstrated experience in (and excitement for) building agents, training and evaluating emerging foundation LLMs, building RAG systems and planet scale information retrieval systems, or working with vector databases. We encourage you to share your projects with us! Our Team: We are a pre-seed startup with a compact with a high performance engineering culture that emphasizes personal accountability, autonomy, learning and growth. Led by experienced founders, our approach is design-centric, underpinned by market analysis, user research, and a dedication to scientific thinking and automation. We value intelligence, respectful collaboration, and SHIPPING CODE!
Join our team as a Principal Engineer, where we're focused on graduating AI from interesting demos to indispensable products. You will architect and build the core distributed systems that provide the reliable, scalable foundation for this mission. This is a role for hands-on technical leaders who want to solve our hardest infrastructure challenges and build a platform that's trusted to make critical business decisions. Key Responsibilities Architect and Build: Design, develop, and operate the foundational backend services that form the backbone of our platform, ensuring they meet rigorous standards for performance and reliability. Technical Leadership: Provide technical leadership and mentorship through exemplary code, design documents, and thoughtful code reviews. You will drive best practices in system design and raise the bar for the entire team. Founder-level Accountability and Impact: Take ownership of complex technical projects from conception to deployment. We are looking for engineers who are focused on delivering pragmatic, robust solutions. Solve Complex Problems: Tackle our most challenging technical issues in distributed computing, large-scale data processing, and overall system architecture. Qualifications 10+ years of experience in software engineering, with a proven track record of designing and building complex, large-scale distributed systems. Deep expertise in backend development , including system architecture, data modeling, and API design. You take pride in writing clean, maintainable, and efficient code. A strong bias for action and a pragmatic approach to problem-solving. You have a passion for the craft and a drive to ship high-quality, impactful code. Strong proficiency in at least one backend language (e.g., Python, Go, Java, C++). Experience with or interest in TypeScript is a plus . Experience with modern cloud and data infrastructure is essential (e.g., Google Cloud, Docker/Kubernetes, Postgres), but we value strong fundamentals above specific tool experience. Our Team We are a rapidly growing startup with a high-performance engineering culture that emphasizes personal accountability, autonomy, learning, and growth. Led by experienced founders, our approach is design-centric, underpinned by market analysis, user research, and a dedication to scientific thinking and automation. We value intelligence, respectful collaboration, and SHIPPING CODE!
Join our team as a Full Stack Engineer, where we're focused on graduating AI from interesting demos to indispensable products. You will be responsible for bringing this vision to life, building the end-to-end user experience that our customers interact with every day. This is a role for product-focused engineers who want to take full ownership of features and create AI tools that are both powerful and intuitive. Key Responsibilities Build End-to-End Features: Design, develop, and deploy robust features across our technology stack, from pixel-perfect front-end components to resilient backend APIs. Partner with Product and Design: Collaborate closely with product managers and designers to translate vision and mockups into tangible, high-quality technical solutions. You will be a key voice in shaping the user experience. Own the Outcome: Take end-to-end accountability for the features you build, from technical design and implementation to deployment and iteration. Your responsibility doesn't end at shipping; you own the quality and success of the product experience. Improve Our Stack: Contribute to the continuous improvement of our codebase and development processes to enhance product quality and developer productivity. Qualifications 1-3+ years of experience as a software engineer, with a proven track record of shipping full-stack web applications. Expert proficiency in both Python and TypeScript is a firm requirement. To be effective on our team, you must be able to hit the ground running and contribute across our entire Python and TypeScript codebase from day one. Cutting-edge micro-frontend architecture using single-spa, SystemJS module federation, and React 18 - enabling independent team deployments while maintaining a unified user experience across our AI workflow platform Proficiency in either Flask or FastAPI for API creation Good with Data : Experience with any SQL databases Postgres Demonstrated experience working closely with product designers and a strong eye for detail. You have experience translating design vision into functional, polished user interfaces. A strong sense of ownership and a product-focused mindset. You have a passion for the craft and a drive to ship high-quality, impactful code. An interest in the modern AI landscape is a major plus. Any experience building with LLMs, particularly creating AI agents or RAG (Retrieval-Augmented Generation) applications, will set you apart. Our Team We are a rapidly growing startup with a high-performance engineering culture that emphasizes personal accountability, autonomy, learning, and growth. Led by experienced founders, our approach is design-centric, underpinned by market analysis, user research, and a dedication to scientific thinking and automation. We value intelligence, respectful collaboration, and SHIPPING CODE!
Join our team as an AI Engineer, where we're focused on graduating AI from interesting demos to indispensable products. You will build reliable, self-improving systems that empower subject matter experts to automate their most complex, high-value work. This is a role for engineers who want to solve real-world business challenges and create AI tools that are trusted to make critical decisions. Key Responsibilities Build AI-Enabled Products: Develop products that are fully enabled by the capabilities of LLMs and other recent developments in foundation models. You will evaluate and assimilate emerging techniques into our production systems. High-Performance Search and RAG: Build and optimize our data indexing, ranking, and query processing systems for high-performance Search and Retrieval-Augmented Generation (RAG). Develop Evaluation Frameworks: Create robust frameworks to evaluate the performance of our agents, RAG systems, and various LLMs. We take a polyglot approach to working with LLMs, with a strong preference for getting workloads running on open-source models. Qualifications 1-3 years of experience in Software Engineering or end-to-end Data Science, with strong proficiency in Python and data-oriented algorithms. Strong background in either AI agents, data systems or machine learning engineering. Modern Python microservices with FastAPI, Ray.IO for distributed AI workloads, and Kubernetes orchestration - powering enterprise-scale AI agent execution with gRPC inter-service communication and Google Cloud Pub/Sub event streaming AI Agent Stack: LlamaIndex, LangGraph, SmolAgent, Instructor, Anthropic, OpenAI, Qdrant, ParadeDB, Sentence-Transformers - building sophisticated AI agent orchestration with tool coordination, vector search, and real-time data processing Recent demonstrated experience in building agents, training and evaluating emerging LLMs, building RAG systems, or working with vector databases. We encourage you to share your projects with us! Familiarity with our core technologies is a plus: Ray, Postgres, Iceberg, Google Cloud, and Docker/Kubernetes/Helm. Our Team We are a rapidly growing startup with a high-performance engineering culture that emphasizes personal accountability, autonomy, learning, and growth. Led by experienced founders, our approach is design-centric, underpinned by market analysis, user research, and a dedication to scientific thinking and automation. We value intelligence, respectful collaboration, and SHIPPING CODE!
Join our team as a Full Stack Engineer, where we're focused on graduating AI from interesting demos to indispensable products. You will be responsible for bringing this vision to life, building the end-to-end user experience that our customers interact with every day. This is a role for product-focused engineers who want to take full ownership of features and create AI tools that are both powerful and intuitive. Key Responsibilities Build End-to-End Features: Design, develop, and deploy robust features across our technology stack, from pixel-perfect front-end components to resilient backend APIs. Partner with Product and Design: Collaborate closely with product managers and designers to translate vision and mockups into tangible, high-quality technical solutions. You will be a key voice in shaping the user experience. Own the Outcome: Take end-to-end accountability for the features you build, from technical design and implementation to deployment and iteration. Your responsibility doesn't end at shipping; you own the quality and success of the product experience. Improve Our Stack: Contribute to the continuous improvement of our codebase and development processes to enhance product quality and developer productivity. Qualifications 1-3+ years of experience as a software engineer, with a proven track record of shipping full-stack web applications. Expert proficiency in both Python and TypeScript is a firm requirement. To be effective on our team, you must be able to hit the ground running and contribute across our entire Python and TypeScript codebase from day one. Cutting-edge micro-frontend architecture using single-spa, SystemJS module federation, and React 18 - enabling independent team deployments while maintaining a unified user experience across our AI workflow platform Proficiency in either Flask or FastAPI for API creation Good with Data : Experience with any SQL databases Postgres Demonstrated experience working closely with product designers and a strong eye for detail. You have experience translating design vision into functional, polished user interfaces. A strong sense of ownership and a product-focused mindset. You have a passion for the craft and a drive to ship high-quality, impactful code. An interest in the modern AI landscape is a major plus. Any experience building with LLMs, particularly creating AI agents or RAG (Retrieval-Augmented Generation) applications, will set you apart. Completed Bachelor or equivalent degree from a reputed engineering college, Tier 1 and Tier 2 will be preferred. Our Team We are a rapidly growing startup with a high-performance engineering culture that emphasizes personal accountability, autonomy, learning, and growth. Led by experienced founders, our approach is design-centric, underpinned by market analysis, user research, and a dedication to scientific thinking and automation. We value intelligence, respectful collaboration, and SHIPPING CODE!