Technical Staff Engineer

Join OpenEvidence: Pioneering the Future of Medical AIOpenEvidence is globally recognized as the leading medical AI platform, achieving unparalleled growth with over 40% of US clinicians adopting our technology through organic word-of-mouth. As a $12 billion company, we are backed by a talented engineering team from prestigious institutions like MIT, Harvard, and Stanford. We are on a mission to redefine the medical AI landscape and are eager to expand our team with exceptional individuals who are ready to make a significant impact on the lives of millions.Our CultureAt OpenEvidence, we maintain a culture of excellence where creating groundbreaking technologies is akin to a professional sport. We believe in complete ownership and responsibility; every engineer and scientist is empowered to drive significant advancements in our product. Mediocrity has no place in our organization; we pursue precision, intentionality, and quality in every detail. Our engineers thrive on tackling the most challenging aspects of projects while ensuring an exceptional user experience. We value transparency in project outcomes, celebrating achievements, and learning from failures.Who You AreWe are looking for passionate individuals who are ready to roll up their sleeves and dive into the deep end of innovation. If you are someone who seeks to make a tangible impact—driving significant revenue and enhancing the lives of millions—this role is for you. The ideal candidate is not only a brilliant builder but also smart, ambitious, resourceful, and humble. If this resonates with you, we want to hear from you!QualificationsWe are looking for candidates who possess strong technical skills, a passion for innovation, and a desire to take ownership of projects. A Bachelor's degree in a relevant field is preferred, along with experience in software development, data analysis, or a related discipline. Your ability to work independently while collaborating within a team is crucial to our success.

At Inferact, we are on a mission to establish vLLM as the premier AI inference engine, revolutionizing AI progress by making inference both more accessible and efficient. Our founding team consists of the original creators and key maintainers of vLLM, positioning us uniquely at the nexus of cutting-edge models and advanced hardware.Role OverviewWe are seeking a passionate inference runtime engineer eager to explore and expand the frontiers of LLM and diffusion model serving. As models evolve and grow in complexity with new architectures like mixture-of-experts and multimodal designs, the demand for innovative solutions in our inference engine intensifies. This role places you at the heart of vLLM, where you will enhance model execution across a variety of hardware platforms and architectures. Your contributions will have a direct influence on the future of AI inference.

Krew is revolutionizing the credit-servicing sector with cutting-edge AI-driven agents designed to enhance financial wellness. Our innovative approach is supported by notable investors such as Long Journey Ventures (Arielle Zuckerberg, Pascal Levy-Garboua) and prominent angels including Ryan Hoover (Founder, Product Hunt), Charlie Songhurst (Board Member, Meta), and Michael Jones (Former Chair, Huntington Bank Ventures). Our team consists of exceptional talent from renowned organizations including Figure Robotics, Optiver, Bain, and the United Nations, alongside top-tier engineers and researchers from institutions like the University of Chicago and Oxford. Currently, our omnichannel agents assist over 100,000 consumers on their journeys towards financial stability. Our ambitious goal is to resolve more than $1 trillion in outstanding consumer delinquencies globally, employing an empathetic and human-centric approach.Job Overview:We are seeking a talented Member of Technical Staff with a focus on backend engineering. The ideal candidate is a motivated engineer who prioritizes high-quality code and thrives in a collaborative environment driven by rapid innovation.Key Responsibilities:Architect and develop backend APIs and services that empower our AI agents and operational tools.Deliver user-facing features from conception through to deployment (including data modeling, API development, and UI integration).Enhance system reliability, observability, and performance across the engineering stack.Work closely with design, operations, and compliance teams to ensure the delivery of safe and compliant features.Write comprehensive tests, maintain code quality, and engage in design review discussions.Contribute to the evolution of our engineering standards and product development methodology.Minimum Qualifications:A minimum of 2 years of full-time professional experience in backend or full-stack engineering.Proficiency in backend development technologies such as Python or Go.Strong commitment to code quality, including testing, documentation, and code reviews.Preferred Qualifications:Experience in FinTech, Risk Management, or Compliance is advantageous but not essential.Familiarity with LLM/AI-powered products, event-driven architectures, or data processing pipelines.Knowledge of security, privacy, and compliance best practices.

Join cleara as a Fullstack Engineer, where you will play a pivotal role in developing and optimizing our software solutions. You will collaborate with cross-functional teams to deliver high-quality applications that meet the needs of our clients.

Join Composio, where we are revolutionizing the infrastructure that empowers agents to seamlessly connect with the tools you utilize daily, including GitHub, Gmail, Notion, Salesforce, and more. Our dedicated team of engineers is tackling challenges from context management to search optimization, striving to create the most efficient bridge between your agents and their essential tools.Having secured a $25M Series A funding from Lightspeed, along with support from prominent angels such as Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of HubSpot), and Gokul Rajaram, we have experienced significant growth, tripling our ARR this year. Our customers range from fellow Y Combinator alumni to established companies like Wabi, Glean, and Zoom.Your ResponsibilitiesEnhance our platform primitives and APIs, including authentication, automatic refreshes, triggers, tool search, planning, and sandbox management.Oversee multiple runtimes for code execution across Lambdas and Firecracker.Optimize performance through tracing, CPU/heap profiling, database query enhancements, and workflow optimization.Collaborate closely with product engineering teams and customers to effectively manage their workloads and improve our product.Produce clear and comprehensive documentation.Essential QualificationsCore Platform Engineering Skills: Extensive experience in scaling backend distributed systems, maintaining reliable systems while delivering quickly, and managing multiple platform components simultaneously.AI Expertise: Familiarity with building and working with language models.Linux Proficiency: Comfortable working in a Linux environment.Effective Communication: Ability to write well-structured documentation and articulate complex ideas clearly.Interpersonal Skills: Cultivate trust and acknowledge areas for growth.Preferred QualificationsExperience with cloud infrastructure and serverless architecture.

At Krew, we are dedicated to revolutionizing the credit-servicing landscape with cutting-edge AI-driven solutions. Our world-class team is supported by prominent investors, including Long Journey Ventures, Ryan Hoover, Charlie Songhurst, and Michael Jones. Our diverse team brings expertise from renowned organizations such as Figure Robotics, Optiver, Bain, and the United Nations, comprising engineers and researchers from prestigious institutions like UChicago and Oxford. Our innovative omnichannel agents are currently assisting over 100,000 consumers on their journey toward financial well-being. We aspire to address over $1 trillion in consumer delinquencies globally through a compassionate and human-centric approach to financial wellness.

About Vapi:At Vapi, we are pioneering the transition to voice as the primary interface for human interaction.Our platform offers unmatched configurability for deploying voice agents.In just two years, we have amassed over 600,000 developers, with an addition of 2,000 developers daily.Experience Vapi now!Why This Role is Essential:With a feature request every 30 minutes, we need an exceptional backend engineer to enhance our offerings.Your Responsibilities:First 30 Days: Familiarize yourself with our voice agent pipeline, a challenging yet rewarding task.First 60 Days: Take ownership of significant projects such as WhatsApp voice agents or automated reinforcement learning loops.First 90 Days: Engage with customers to design APIs that will provide lasting value and satisfaction.Who You Are:You have experienced the growth from Series B to F funding rounds.You have developed exceptional products that we admire.Bonus: You have entrepreneurial experience as a startup founder.Why Join Vapi:Generational Impact: Build the human interface for businesses across the globe.Ownership Culture: 70% of our team comprises former founders.Supportive Team: Our founders, Jordan and Nikhil, foster a kind and inclusive environment.Top-tier Investors: Backed by Y Combinator, KP Seed, and Bessemer Venture Partners.What We Provide:Equity Ownership: Competitive salary coupled with substantial equity opportunities.Comprehensive Health Plans: Medical, dental, and vision coverage.Team Bonding: Enjoy quarterly off-site events with your colleagues.Flexible Time Off: Take the time you need.Additional Perks: Catered meals, transportation support, gym memberships, and a $10,000 annual learning and development budget.

Mithril is building AI infrastructure to make GPU computing accessible for enterprises, AI startups, and research organizations. The company’s customers include LG AI Research, Saronic, and the Broad Institute. Mithril was founded by a former Google DeepMind research scientist and a Stanford CS PhD, and has raised $80 million in seed and Series A funding from Sequoia Capital, Lightspeed Venture Partners, and others. Platform revenue has grown more than sixfold in the past year. Fast Company recognized Mithril as the 8th Most Innovative Company in Artificial Intelligence for 2026. The team is transitioning from bare-metal operations to a cloud-native, multi-provider platform, introducing an auction and flexibility model. This is an opportunity to help shape the platform from its early stages. Role overview The Software Engineer - Technical Staff Member will work across three main areas: Consumption: Developer-facing product, billing, and API Platform: Orchestration and marketplace solutions Supply: Cloud provider integrations and capacity management Engineers at Mithril take on significant ownership, building features end-to-end that support critical customer workloads and drive revenue. The scope includes backend systems, marketplace logic, and customer interfaces. Architectural decisions here have a direct impact on Mithril’s growth and scalability. What makes this role unique This position blends deep systems work with product-facing challenges. Engineers contribute to the orchestration engine that manages GPU capacity across providers, as well as the interfaces customers use to reserve, bid, and utilize resources. The systems built in this role handle financial transactions, real workloads, and market mechanisms such as spot auctions, reservation pricing, and capacity allocation. For those interested in the mechanics of GPU infrastructure markets and building the technology behind them, this role offers direct involvement. Location This role is based in Palo Alto or the San Francisco Bay Area.

Arine, a fast-growing healthcare technology and clinical services company based in San Francisco, is dedicated to ensuring individuals receive the safest and most effective treatments tailored to their unique healthcare needs. Our mission is to redefine healthcare excellence by addressing the challenges posed by medications that can often do more harm than good.In the U.S., incorrect medications and dosing result in over $528 billion in waste and preventable harm annually. Our innovative software platform (SaaS) leverages cutting-edge data science, machine learning, AI, and deep clinical expertise to offer a patient-centered approach to medication management. We develop and implement personalized care plans at scale, benefiting both patients and their care teams.Arine is committed to enhancing the lives of complex patients, who significantly impact healthcare costs and are often challenging to identify and assist. These patients face a myriad of issues, including complicated prescriptions across multiple medications and providers, chronic disease management challenges, and access to care difficulties. Supported by leading healthcare investors and collaborating with top organizations, we provide actionable recommendations and enable clinical interventions that lead to measurable health improvements and cost savings for our customers.Why Choose to Work at Arine?Exceptional Team and Culture - Our shared mission inspires us to excel and fosters a culture of relentless passion and innovation, positioning us as market leaders in medication intelligence.Making a Tangible Impact in Healthcare - We are saving lives and enabling individuals to achieve better health outcomes.

Product Engineer - Technical Staff MemberAt humans&, we are dedicated to pioneering human-centric AI solutions. Our mission revolves around reimagining artificial intelligence to prioritize human connections and interactions.We seek innovative product engineers who excel at conceptualizing and building products that enhance the interactions between people and technology. If you are passionate about this vision and have the skills to bring it to life, we would be excited to connect with you.Current Technology Stack:Backend: Convex (TypeScript)Frontend: Next.js, React Native (Expo), Tailwind

Technical Staff MemberMirendil is a pioneering technology company dedicated to addressing fundamental challenges that propel significant advancements in science and technology. Our primary mission is to democratize access to cutting-edge AI research and development across various scientific fields. We believe that accelerating scientific discovery is one of the most impactful ways to enhance humanity's future, with AI playing a crucial role in achieving this vision.We are in the process of establishing a leading AI research company, developing our own models from the ground up. Our focus encompasses model training, reinforcement learning, reasoning systems, and the infrastructure necessary for large-scale experiments. Our team comprises accomplished researchers and engineers from esteemed organizations such as Anthropic, Google DeepMind, xAI, OpenAI, Microsoft, Apple, and MIT.Position OverviewWe are seeking skilled engineers and researchers to join us as Members of Technical Staff.This role is designed to be flexible and open-ended. Depending on your expertise and interests, you may engage in:Enhancing and training advanced AI modelsDeveloping reinforcement learning and reasoning systemsBuilding infrastructure for extensive experimental projectsCreating systems to automate or expedite research workflowsIf you are passionate about tackling ambitious challenges at the crossroads of AI, research, and scientific innovation, we would love to connect with you.

At teameigen, we are a dynamic group of innovators, engineers, and storytellers, supported by renowned venture capitalists and the visionaries behind some of the world’s most cherished consumer products, as well as influential figures from film, music, and television.We seek passionate builders with a keen sense of product development to advance applied emotional intelligence and create the technological frameworks that will define consumer technology in the next decade.As a member of our technical staff, you will:Independently tackle complex and ambiguous challenges from start to finish.Engage across the entire technology stack with a product-first mindset rather than a tech-centric approach.Collaborate with writers, artists, and other creatives to enhance the emotional and aesthetic experience of our product.Demonstrate relentless urgency and a strong work ethic in all projects.

Role overview Perplexity AI seeks a Software Engineer to join its Technical Staff in San Francisco. This role centers on building new software and enhancing the user experience through direct development work. What you will do Expect to design and implement new features, work on improving existing systems, and contribute to projects that shape how users interact with Perplexity AI’s products. The position involves hands-on coding and collaboration with other engineers. Location This position is based in San Francisco.

Join Lila Sciences as a Staff or Principal Engineer specializing in Technical Mitigations Research. This role offers an exciting opportunity to leverage your engineering expertise to develop innovative solutions in the field of technical mitigations.

Join Us in Revolutionizing AI InfrastructureAt Meter, we are pioneering the application of cutting-edge AI technology to transform the way the internet is constructed, monitored, and managed.Our vertical integration encompasses the entire enterprise networking stack: from hardware and firmware to operating systems and operations. This unique position offers us comprehensive visibility and control over the entire stack via a singular API, along with a proprietary dataset that is unmatched in the industry, paving the way for complete end-to-end automation. Our solutions are already in use by Fortune 500 companies, educational institutions, manufacturing facilities, and cloud-scale clients.We are in the process of assembling a founding core engineering team dedicated to developing and training models that can comprehend these systems, enhance operational efficiency, predict failures, and resolve issues proactively. In essence, you will be instrumental in creating the decision-making framework that underpins the infrastructure of the modern world.You will collaborate closely with our founders, playing a key role in shaping the future of one of the most impactful applications of models available today.Learn more about us at meter.ai.

At Composio, we are developing advanced infrastructure that enables agents to seamlessly interact with essential work tools such as GitHub, Gmail, Notion, Salesforce, and more. Our dedicated team of engineers is committed to tackling challenges ranging from contextual understanding to search functionalities, ensuring we provide an exceptional bridge between your agents and their tools.Having secured a $25M Series A funding from Lightspeed, alongside prominent angel investors like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of HubSpot), and Gokul Rajaram, we have experienced remarkable growth, tripling our ARR at the start of this year. Our clientele includes notable names from Y Combinator cohorts to Wabi, Glean, Zoom, and beyond.Your RoleEnhance the experience of teams utilizing our platform by refining our core APIs and SDK.Create intuitive interfaces for both frontend and SDK applications.Take ownership of product development from concept through to production.Collaborate closely with customers to cultivate their loyalty while enhancing the product.Craft clear and concise documentation.

Gimlet Labs is pioneering the first heterogeneous neocloud specifically designed for AI workloads. As the demand for AI systems increases, the industry faces critical challenges related to power, capacity, and cost with the existing homogeneous infrastructure. Gimlet's innovative solution decouples AI workloads from hardware, effectively partitioning tasks into manageable components and directing them to the optimal hardware to maximize performance and efficiency. This strategy facilitates the creation of heterogeneous systems across various vendors and generations of hardware, including cutting-edge accelerators, leading to significant advancements in performance and cost efficiency at scale.Building on this framework, Gimlet is developing a robust neocloud for agentic workloads, enabling clients to seamlessly deploy and manage their operations via stable, production-ready APIs—eliminating the need to navigate hardware selection, placement, or intricate performance optimizations.We collaborate with foundational labs, hyperscalers, and AI-native enterprises to support production workloads that are designed to scale to gigawatt-class AI datacenters.We are on the lookout for a Member of Technical Staff specialized in compilers. In this position, you will engage in the core compilation infrastructure that converts high-level AI workloads into highly efficient executable programs across a diverse array of advanced hardware. Your role will include designing and implementing compiler systems that partition workloads, optimize them through various Intermediate Representations (IRs), and target multiple execution environments and accelerators.This position is ideal for engineers who thrive on building practical systems, engaging closely with hardware, and transforming emerging AI models and execution patterns into reliable, production-ready infrastructure.

Join us as a Backend Engineer - Member of Technical Staff at fuku, located in the vibrant tech hub of San Francisco, CA. In this full-time role, you will play a pivotal part in revolutionizing compliance processes for banks and fintechs through the development of advanced AI agents. These agents mimic human analysts to navigate the web and automate critical compliance functions, including AML, KYC, KYB, and transaction monitoring. With a compensation range of $150,000 to $280,000 plus competitive equity, we are offering a remarkable opportunity for high-impact contributions within our rapidly growing engineering team.Your mission will be to build and enhance the backend and machine learning systems that inform our AI agents. You’ll tackle complex challenges like developing browser agents that interact with legacy systems, creating a global risk graph, and ensuring compliance decisions are made at lightning speed. You will have the freedom to own features from design through deployment, working in an environment that values autonomy and innovation.This role is ideal for engineers who are eager to push the boundaries of AI application, seek minimal meetings, and thrive in a small, dynamic team. If you are passionate about technology that makes a real-world impact, we want to hear from you!

Greetings! I’m Teddy, the CTO and co-founder of Magic Patterns. Our engineering team has expanded significantly over the past few months, and we are eager to continue this growth!If you are an enthusiastic web engineer, our roadmap holds a treasure trove of projects you've likely been eager to tackle:An infinite canvas featuring live collaborationInnovative intersections of design systems and AIFigma-like intuitive design editingEngaging consumer onboarding processes and funnelsCommunity templates and showcases with impressive componentsCurrently, thousands of teams leverage Magic Patterns to accelerate their software delivery. Our mission to empower product teams from concept to deployment has attracted Fortune 500 clients and cultivated a cherished community. However, we recognize that every day is a new beginning, and we need your expertise!If you thrive in startup cultures, have a passion for AI, and enjoy dynamic, fast-paced settings, we can’t wait to collaborate with you.Our Work Culture:We prioritize purposeful hiring, seeking only top-tier talent. Our compact yet formidable team operates from our San Francisco office, with additional distributed colleagues across North America.Our Core Values:Act decisively — if something can be done in hours, it can be done in minutes.Data-driven decisions — it’s okay to make mistakes; we rely on data to guide our choices.Customer obsession — our customers are the heart of our existence.Ownership — we uphold high standards and craftsmanship.Spread the magic — to many, Magic Patterns is truly 'magical.' Take pride in your contributions and enjoy the journey!Your Role:Develop and deploy high-quality, user-centric features that enhance core product valueWork collaboratively with the team to transition concepts into productionEngage in technical discussions to refine system design and architectureContinuously gather insights from user feedback and data to optimize product performance and user experience

At Catalog, we are pioneering the commerce infrastructure for AI—creating the essential framework that enables digital agents to not only explore the web but also comprehend, analyze, and engage with products. Our innovations drive the future of AI-driven shopping experiences, fundamentally transforming how consumers discover and purchase items online.Role OverviewAs a Technical Staff Member, you will be instrumental in developing core systems, shaping our engineering culture, and transitioning our vision from prototype to a robust platform. This role requires full-stack expertise and a commitment to owning and resolving challenges from start to finish.Who You AreYou have experience creating beloved and trusted products from the ground up.You combine technical proficiency with a keen product sense and data-driven intuition.You are well-versed in AI technologies.You prioritize speed, write clean code, and ensure thorough instrumentation.You seek a high level of ownership within a small, talent-rich team based in San Francisco.Challenges You Will TackleDevelop and deploy agentic-search APIs that deliver structured and real-time product data in milliseconds.Build checkout systems enabling agents to conduct transactions with any merchant.Create an embeddings and retrieval layer that optimizes recall, precision, and cost efficiency.Establish a product graph and ranking pipeline that adapts based on actual user outcomes.Preferred QualificationsProven experience shipping data-centric products in a live environment.Experience with recommendation systems or information retrieval methodologies.Familiarity with API development, search indexing, and data pipeline construction.Our Work CultureWe operate with a small, high-trust, and highly motivated team, fostering an environment of in-person collaboration in North Beach, San Francisco. Our process involves debate, decision-making, and execution.If your profile aligns with our needs, we will contact you to arrange 2-3 brief technical interviews, followed by an onsite meeting in our office where you will collaborate on a small project, exchange ideas, and meet the team.