Backend Engineer at Lightning AI | San Francisco

Who We AreLightning AI, the driving force behind PyTorch Lightning, was established in 2019. We have developed a comprehensive platform that streamlines the process of creating, training, and deploying AI systems, transforming innovative ideas from research to production with greater efficiency.Following our merger with Voltage Park, a leading neocloud and A…

Are you ready to drive innovation in AI?About LaminaLamina is at the forefront of revolutionizing commercial lending through our collaborative SaaS platform, making multi-lender transactions seamless and efficient. We equip financial institutions with cutting-edge tools that enable secure deal syndication and participation.Position OverviewWe are looking for a talented and innovative Senior AI Engineer to join our dynamic Lamina team. Your primary focus will be on developing intelligent agents and sophisticated prompting systems that elevate automation, decision-making, and user engagement throughout our platform. You will work closely with product managers, engineering teams, and designers to architect and implement AI-driven solutions that integrate seamlessly into the Lamina ecosystem.Key ResponsibilitiesDesign and implement AI models that enhance platform capabilities.Collaborate with cross-functional teams to translate business needs into technical solutions.Optimize AI algorithms for performance and scalability.Conduct research and stay updated on the latest trends in AI and machine learning.Develop documentation and provide training for internal teams on AI tools.

Join Strava, a leader in the sports technology sector, as a Machine Learning Engineer. In this exciting role, you will apply your expertise in machine learning and data science to develop innovative solutions that enhance the experience of millions of athletes worldwide. Collaborate with cross-functional teams to create algorithms that analyze vast datasets and provide actionable insights to our users.

ABOUT THE ROLE:As an AI Engineer at Varick, you will take charge of designing and optimizing the intelligence layer within our enterprise operations. This involves creating agent systems that efficiently handle thousands of transactions, make classification decisions, and learn from human interactions.This position is suited for engineers with extensive experience in LLMs, agent architectures, and evaluation systems. You have successfully developed agent workflows that operate in production, not merely in demo environments. Your expertise includes prompt engineering, retrieval, tool calling, multi-agent orchestration, and the evaluation frameworks necessary for deploying trustworthy AI systems in enterprise settings.WHAT YOU'LL DO:• Design and implement agent architectures that tackle complex enterprise workflows, focusing on multi-step reasoning, tool calling, and exception handling.• Develop and sustain evaluation systems that ensure agent quality, accuracy, safety, and groundedness.• Create robust prompt systems, retrieval pipelines, and context engineering strategies to ensure reliable agent performance.• Establish feedback loops that empower agents to learn from human corrections and enhance their functionality over time.• Optimize inference costs and latency for production workloads to ensure efficiency.• Define and uphold best practices for agent reliability, observability, and governance.• Stay updated with the latest models, frameworks, and research to ensure impactful deployments into production.WHAT WE'RE LOOKING FOR:• At least 3 years of software engineering experience, with a minimum of 1–2 years dedicated to LLM applications or AI systems in a production environment.• Practical experience in constructing agent workflows featuring tool calling, retrieval, and multi-step reasoning.• A profound understanding of prompt engineering, context engineering, and methods to elicit reliable behavior from LLMs.• Experience in developing evaluation systems to assess AI output quality.• Proficient in Python with a solid foundation in backend engineering principles.• You have delivered AI features to actual users and have navigated challenges such as hallucinations, edge cases, accuracy drops, and cost management.• Must be based in San Francisco.

Slash Financial creates tailored financial infrastructure for businesses in a variety of sectors. The company blends the reliability of traditional banking with high yields, strong rewards, and security, while offering features that help clients operate more efficiently and profitably. Founded in 2021, Slash Financial processes over $10 billion in business transactions each year. The company recently secured $100 million in Series C funding led by Ribbit Capital, with additional backing from Khosla Ventures, Goodwater Capital, NEA, and Y Combinator. This investment supports ongoing product development and expansion into new markets. Headquartered in San Francisco, the team emphasizes in-person collaboration at the office. Role overview The GTM Engineer will join a group dedicated to building a financial platform for complex, global businesses. This position involves close work with customers and the sales team, contributing at every stage from initial discovery to implementation and ongoing support. Direct client interaction is a key part of this job. Insights gathered from these engagements shape solutions and help transform custom work into platform features that serve thousands of businesses. This is a hands-on, customer-facing position. GTM Engineers write code, tackle technical challenges, and take responsibility for outcomes. Location This position is based onsite at the San Francisco office.

Okta is hiring a Staff Backend Engineer to focus on Non-Human Identities in San Francisco, California. This position centers on building and enhancing backend systems that manage secure identities for non-human entities, such as applications and services. Key responsibilities Design and implement backend solutions to strengthen identity management for non-human identities. Collaborate with engineering, product, and security teams to develop new features and improve existing systems. Contribute technical expertise and fresh ideas to the ongoing evolution of Okta’s identity platform. Role focus This role emphasizes backend development with a focus on secure, efficient handling of non-human identities. The work supports Okta’s broader mission to provide reliable identity solutions at scale.

About the RoleDescript is at the forefront of transforming traditional editing practices by integrating innovative AI technologies throughout the entire content creation process—recording, transcribing, editing, and sharing—making it quicker and easier to produce high-quality content.We are seeking an Engineering Manager to spearhead our Narrative Editing team. This role focuses on enhancing the product experiences that empower creators to articulate their stories through both live and generative AI content creation, along with Descript's renowned script-based editing experience. You will oversee a dynamic team of 5-6 software engineers, report directly to the Head of Product Engineering, and collaborate with leaders across engineering, product, design, and AI Engineering to deliver exceptional and dependable product experiences for video creators.About the Team:The Narrative Editing team is responsible for a suite of product experiences that enable creators to express their narratives. This team drives Descript’s flagship script-based editing experience, redefining the landscape of video editing tools by making storytelling-based content creation accessible for beginners and lightning-fast for seasoned professionals. With advancements in AI video editing, our team has a unique opportunity to collaborate closely with AI infrastructure and research teams to assess, integrate, and operate both internal and external models, further simplifying and accelerating high-caliber content production.In 2026, the Narrative Editing team aims to refine our excellent product experiences to better serve our customers. If you're passionate about not just launching products but continually enhancing them through successive iterations (V1, V2, V3, etc.), this role is the perfect fit for you!You'll work with management peers and direct reports located in San Francisco, New York, and distributed across the US and Canada.This position is ideal for you if you are eager to drive advancements in the following areas:Developing a top-tier product experience for script-based video editing, exploring cutting-edge generative media models, seamlessly integrating them into existing video creation workflows, and upholding a high-quality standard for Descript’s video and audio recording suite.Executing strategic quality initiatives while crafting the next generation of product experiences at Descript.Collaborating with AI Research and Enablement teams to prioritize, train, evaluate, and deliver next-gen Descript-built AI models that enhance content creation.

Join SoFi as a Senior Web Platform Engineer and be at the forefront of building innovative web solutions that empower our users. You will work on enhancing and maintaining our web platform, ensuring high performance, scalability, and security. Collaborate with cross-functional teams to implement new features and optimize existing ones, using the latest technologies and best practices in web development.

About the RoleJoin Hex Technologies as a Product Engineer Intern this summer, where you will play a vital role in developing the next generation of AI-driven data tools.Our mission is to empower users to navigate and engage with data through natural language and advanced AI capabilities. As an intern, you will directly influence product features that are central to how data teams explore, analyze, and collaborate. No prior AI experience is necessary; we value curiosity, enthusiasm, and a readiness to engage with rapidly evolving technologies.This is an exceptional chance to learn from skilled engineers, deliver real features into production, and make significant contributions to one of the most exciting technical fields today.Your ResponsibilitiesAs a Product Engineer Intern, you will collaborate across the technology stack, working alongside mentors and closely with designers, product managers, and AI engineers to create engaging, reliable, and intelligent user experiences.Your tasks will include:Building real product features using React, Typescript, and/or Python that enhance the core workflows utilized by thousands of data practitioners.Collaborating with AI engineers to prototype and refine AI capabilities, develop prompting strategies, and enhance model quality for user-facing applications.Designing and refining end-to-end workflows contributing to features for collaborative editing, data exploration, debugging, and AI-assisted development.Tackling practical engineering challenges such as performance optimization, front-end UX enhancements, and API design to support AI-driven functionalities.Participating in the full development lifecycle, from ideation and design to implementation, testing, and launch.

Overview: As a part of our ambitious expansion plan driven by strong market demand, Listen Labs is looking to enhance our engineering team with a talented Technical Lead. If you are passionate about leveraging technology to create innovative solutions that reshape decision-making for companies, we want to hear from you!About Listen Labs:Listen Labs is at the forefront of AI-driven research, transforming the way teams derive insights from customer interviews in mere hours instead of months. Our platform empowers users to analyze conversations, identify themes, and expedite smarter product decisions.Why Join Us?Exceptional Talent: Our team boasts multiple IOI medalists and includes experts from prestigious companies like Jane Street, Twitter, and Stripe, among others.Rapid Growth: Backed by Sequoia, we’ve scaled from zero to a $14M run-rate in under a year, maintaining a focus on quality and ownership.Strong Customer Base: We have secured significant wins with enterprises such as Google and Microsoft, showcasing our product's effectiveness across various segments.Proven Success: Our differentiated product has resulted in an industry-leading win rate and consistent customer acquisitions, leading to rapid expansions.Viral Engagement: Our product promotes organic growth, with interviews reaching thousands of viewers, generating daily interest from Fortune 500 companies.Technical Responsibilities:AI Research Agent Development: Design an AI agent that supports users throughout their research process, ensuring they leverage best practices for optimal results.Human Database Construction: Develop a comprehensive database of users to enhance our understanding and capabilities, enabling precise targeting and improved insights.

Overview: Due to the increasing market demand and a robust six-month product roadmap, Listen Labs is expanding its engineering team. We seek a technically adept individual (our team includes three IOI medalists) who is eager to contribute to a product that is revolutionizing corporate decision-making. If you are passionate about solving intricate problems from start to finish, we invite you to connect with us.About Listen LabsListen Labs is an innovative AI-driven research platform that empowers teams to swiftly extract insights from customer interviews in hours rather than months. Our technology enables clients to analyze conversations, identify recurring themes, and expedite informed product decisions.Company Highlights:Exceptional Team: Composed of seasoned entrepreneurs (with prior AI exits), co-founders, and experts from leading firms such as Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and more, our team is built on a foundation of excellence.Rapid Growth: We are a dynamic team of 40, supported by Sequoia, achieving a remarkable growth trajectory from $0 to $14 million run-rate in less than a year. We prioritize speed, craftsmanship, and collaboration with individuals who embrace ownership.Impressive Traction: We have seen rapid growth across various sectors, securing enterprise clients such as Google, Microsoft, Nestlé, and P&G.Outstanding Performance: Our industry-leading win rate is a direct result of our uniquely differentiated product.Market Validation: We consistently attract customers across every segment, often landing six-figure deals that lead to quick expansions.Viral Product: Our interviews are shared with tens of thousands of viewers, driving product-led growth, organic expansion, and daily inquiries from Fortune 500 companies.Technical Challenges:Research Agent Development: Unlike traditional software purchases, hiring McKinsey involves gaining insights and execution expertise. We are building Listen Labs with that mindset — an AI agent that understands our platform and best research practices, assisting users in project setup, interview execution, and response analysis.Human Database Creation: A core value proposition is our capability to connect users with specific demographics. We are developing a database of millions of individuals, continually enhancing our understanding of user needs as they engage with Listen Labs.

Job Title: Robotics Technical Lead (AI & Manipulation)About UnitX:At UnitX, we are pioneering cutting-edge physical AI systems that revolutionize the automation of repetitive visual tasks in manufacturing environments. Born from a dynamic team hailing from prestigious institutions like Stanford, MIT, and Google, UnitX has successfully deployed over 1,000 mission-critical systems across more than 190 leading manufacturers' production lines. Our AI inspection systems manage the quality assurance of products worth an impressive $15 billion each year.If you possess a relentless customer-centric mindset and are a problem solver who thrives in technical complexities, delivering tangible and scalable solutions in the fast-paced world of 24/7 manufacturing, then UnitX is the ideal environment for you to excel. Join our world-class team of innovators in Silicon Valley and be a part of something extraordinary.Role Overview:We are in search of a visionary and hands-on Robotics Technical Lead (AI & Manipulation) to spearhead the development of our next-generation AI-driven robotics products. This pivotal role will facilitate the integration of deep learning, robotics, perception, and real-world applications, directly influencing how machines comprehend, engage with, and adapt to the physical environment.Key Responsibilities:Drive the AI & Robotics roadmap from research and development through to real-world deployment.Lead teams in the creation of models for vision, control, and decision-making, encompassing deep learning, classical control, and sensor fusion methodologies.Architect and supervise the implementation of algorithms for real-time perception, manipulation, and motion planning.Develop foundational models or modular AI components to enhance scalability across diverse robotic platforms.Establish and uphold engineering best practices for data collection, training pipelines, and model validation.Collaborate closely with Hardware, Product, and Supply Chain teams to ensure reliable systems with efficient feedback loops.Assess and incorporate cutting-edge research to stay ahead of trends in robotics, AI, and simulation.Qualifications:Minimum of 8 years of experience in AI, robotics, or a related field.Proven track record in leading teams and projects in a dynamic environment.Strong expertise in machine learning, computer vision, and robotics.Experience with real-time systems and deployment of AI solutions in production settings.Excellent communication skills and ability to work collaboratively across teams.

Join Our Innovative TeamLumafield is seeking a skilled Quality Assurance (QA) Test Engineer to play a pivotal role in ensuring the excellence and dependability of our advanced, cloud-based web application, Voyager. In this hands-on position, you will be responsible for implementing and refining our QA strategy, seamlessly integrating manual exploratory testing with robust automation testing to provide our users with a flawless, high-quality experience in industrial inspection.

At Scale AI, we play an essential role in bringing cutting-edge AI technologies to life, spanning areas such as autonomous driving, drones, robotics, and advanced language models. Our partnerships with leading self-driving car and robotics machine learning teams, as well as major players in the generative AI sector, position us at the forefront of innovation. As our customer base expands, we are seeking a Field Engineer to spearhead our field engineering initiatives for federal AI projects. In this pivotal role, you will have the chance to significantly influence revenue generation by collaborating with our most important public sector clients and fostering long-lasting relationships that transform them into ardent advocates for Scale. Our Field Engineers are dedicated to ensuring that customers' experiences with our technology are seamless and optimized, paving the way for successful, enduring partnerships. They collaborate closely with Product, Engineering, and Operations teams to guide existing clients in constructing production-grade data pipelines. This is achieved by thoroughly understanding customer use cases and developing the necessary tools and documentation to support their scalable growth. Field Engineers are not only adept in Scale's products and codebase but also possess a solid technical foundation in web development, API usage, and managing large datasets. They excel at building relationships, project management, and are known for their engaging personalities. The ideal candidate is a versatile software engineer who thrives on direct client interaction, adept at transforming ambiguous requirements into sustainable solutions in close collaboration with Product and Engineering teams. This role sits at the convergence of customer delivery, product development, and engineering, providing you with a diverse range of experience and allowing you to leverage both analytical and creative thinking. If this resonates with you, we encourage you to apply!

Join Us as a Founding Engineer!At Brainbase, we're redefining the workforce landscape with AI Employees, akin to how Retool transformed internal tools.Imagine a world where AI collaborates seamlessly with human teams. Brainbase empowers businesses to develop their own AI workforce.In just one year, we've achieved $XM+ ARR and are on course to surpass $XXM+ soon. Our clientele spans from small and medium businesses to Fortune 50 corporations. We're proudly supported by Y Combinator, 500 Global, and other prestigious investors, including founders from YouTube and HubSpot, as well as notable YC alumni.About the RoleAs a pivotal member of our founding team, you'll play a crucial role in integrating AI into the enterprise landscape: launching innovative features, engaging with users, and fostering a vibrant company culture for future team members.You will collaborate closely with our CEO and founding team, focusing on enhancing our infrastructure (both cloud and on-premise) and refining our proprietary agent system based on user feedback.Who Should Apply?This position may be a perfect fit for you if:Resourceful: You excel in maximizing outcomes with limited resources, whether that be time, finances, or computing power.Resilient: You persist through challenges and only step back when you discover a more effective approach.Decisive: You make sound decisions under pressure, even with incomplete information, and swiftly move on to new challenges.Passionate about Problem-Solving: You thrive on tackling complex puzzles, games, or challenges, regardless of initial proficiency.Fun-Loving: You maintain positivity and uplift those around you, even during tough times.Key RequirementsAlongside the qualities outlined above, we seek candidates with the following qualifications: Essential SkillsLocation: Based in San Francisco or open to relocation.Work Authorization: Must have a valid US work permit (we do not sponsor H1-Bs; OPTs are acceptable).Minimum of 2 years of software engineering experience (recent graduates are encouraged to apply; personal projects are valued).Proficiency in Typescript and Python.Familiarity with Large Language Models (LLMs) such as OpenAI API, Langchain, or HuggingFace.

ABOUT BASETENAt Baseten, we empower leading AI companies such as Cursor, Notion, and Abridge by delivering mission-critical inference capabilities. Our innovative platform integrates applied AI research, versatile infrastructure, and intuitive developer tools, enabling organizations at the forefront of AI to deploy cutting-edge models seamlessly. With our recent $300M Series E funding from top investors like BOND and Greylock, we are rapidly expanding. Join us to create the ultimate platform for engineers to launch AI products effectively.THE ROLEWe are seeking a passionate and customer-focused software engineer to join our team. You will take ownership of features, including multi-node training and serverless reinforcement learning (RL), guiding them from concept to MVP and beyond. Your responsibilities will span the entire technology stack, from API and UI design to infrastructure architecture. By diving deep into model fine-tuning, you will gain valuable insights into user workflows. Collaborating closely with research engineers, you will apply advanced training techniques to develop solutions that address real user challenges. If you are eager to explore the intricacies of AI training, we want to hear from you!THE PRODUCTDiscover what we have accomplished so far:Comprehensive Product OverviewTraining Documentation OverviewThe Journey of Our Training ProductOur Research EndeavorsEXAMPLE INITIATIVESCheckpointing Pipeline: Our automated checkpointing feature ensures that model versions created during training are securely backed up to the cloud, allowing users to easily deploy checkpoints with minimal friction.

About UsAt Sieve, we are pioneering the future of AI by being the only research lab solely dedicated to video data. Our unique approach integrates exabyte-scale video infrastructure, cutting-edge video comprehension techniques, and a multitude of data sources to create datasets that redefine the boundaries of video modeling. With video constituting 80% of internet traffic, it has become the essential digital medium for creativity, communication, gaming, AR/VR, and robotics. Our mission is to address the critical challenge hindering the growth of these applications: acquiring high-quality training data.Having partnered with leading AI laboratories, our team of just 15 individuals generated $XX million last quarter, and we successfully secured Series A funding from prestigious firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.About the RoleAs a Product Engineer at Sieve, you will be at the forefront of developing our video collection platform: a system designed to compensate contributors for submitting video recordings.You'll engage in full-stack development, covering frontend, backend, systems, and mobile, to swiftly deliver products, enhance reliability, and scale the platform to support millions of users. Additionally, you will create internal tools that enable the team to efficiently source, review, and deliver high-quality data. You will take ownership of projects from start to finish.This position is perfect for individuals who thrive in a high-ownership environment, enjoy building products with rapid feedback loops, and want to contribute directly to the core engine driving advanced video AI.What You’ll DoDevelop and scale a production product used by contributors, partners, and internal teams.Deliver full-stack features encompassing frontend, backend APIs, and supporting systems.Implement mobile features that facilitate easy video capture and submission.Enhance reliability, performance, and developer velocity across the platform.Create internal tools and workflows to ensure operations, QA, and delivery are swift and consistent.Collaborate closely with customers and operators to translate requirements into product features and iterate on them.RequirementsProficient full stack engineer capable of taking projects from concept to production.Expertise in TypeScript with modern frontend experience (React/Next.js preferred).Experience with mobile development in React Native, particularly for media capture or upload workflows.Backend development experience in Python or Go, with a solid understanding of API and database fundamentals.Comfortable working across both product and systems domains.

About FaireFaire is a dynamic online wholesale marketplace that champions local entrepreneurship. We believe in the power of small, independent retailers who collectively generate more revenue than giants like Walmart and Amazon. Our mission is to empower these businesses through cutting-edge technology, data insights, and machine learning, enabling them to find unique products from around the world to offer in their stores. We strive to level the competitive field, allowing small businesses to thrive against larger corporations.By nurturing the growth of independent retailers, Faire is making a significant economic impact in communities worldwide. We are looking for talented, innovative, and dedicated individuals who share our passion for supporting local businesses. If you resonate with the values of community and collaboration, we invite you to be a part of our mission.Role Description:As a pivotal member of our Engineering organization, you will be at the forefront of developing the software that powers our marketplace. The Product Security team plays a crucial role in enabling our product engineering teams to build and deploy secure software solutions. We prioritize strong engineering practices and are passionate about writing scalable, maintainable, and secure code that successfully caters to millions of users. Our approach focuses on building reusable frameworks, consulting with product teams, leveraging data insights, and continuously iterating on our processes.In your role as a Senior Staff Software Engineer specializing in Product Security, you will take the lead in defining the technical vision for security practices across Faire’s application stack. You will collaborate closely with Platform and Product Engineering teams to identify and mitigate security vulnerabilities, spearhead critical security initiatives, and mentor fellow engineers to elevate secure engineering standards throughout the organization.Your efforts will also include leading cross-functional programs that integrate security deeply into our architecture, pipelines, and overall developer experience, ensuring a balanced approach that minimizes risk while maintaining development velocity.As a Senior Staff Software Engineer, Product Security, you will collaborate with us to:Establish a long-term technical strategy for application security at Faire, creating scalable and developer-friendly frameworks that facilitate secure development across all product domains.

Become a pivotal member of our core engineering team at Final Round AI, where you will design, develop, and enhance cloud-native services and comprehensive full-stack solutions. This dynamic role allows you to engage with both frontend and backend systems, spearhead technical projects, and significantly contribute to the delivery of production-ready features of the highest quality. Embrace the opportunity for ownership and autonomy as you rapidly innovate and explore the limits of technology.Key Responsibilities Core DevelopmentDevelop scalable business logic for our cloud-native backend services.Create and implement modern frontend solutions using contemporary frameworks.Work collaboratively with product, design, and engineering teams to construct seamless end-to-end functionalities.Embrace new technologies and methodologies, consistently stepping outside of your comfort zone. Engineering CitizenshipMaintain, refactor, and upgrade existing services.Engage in code reviews to uphold our high standards.Manage on-call responsibilities and incident responses.Enhance developer processes throughout the entire lifecycle from coding to operations. Technical LeadershipDraft technical designs and lead discussions on innovative products.Initiate projects aligned with business objectives, conducting thorough research and crafting solutions for lasting impact.Participate in all phases of product development, from idea conception to prototyping, A/B testing, and scaling of architectures. Technical QualityUtilize automated testing to guarantee the reliability and resilience of features.Implement robust release practices including code reviews, CI/CD pipelines, and deployment automation. Autonomy & OwnershipLead projects with minimal oversight from Tech Leads or the CTO.Effectively communicate technical decisions through meetings, Slack discussions, design documentation, and daily updates.

Fastly operates an edge cloud platform that processes, serves, and protects applications at the Internet’s edge, close to end users. The platform is programmable and supports agile software development. Well-known brands such as GitHub, Yelp, Paramount, and JetBlue rely on Fastly’s services. Fastly’s mission is to build a more trustworthy Internet. Key Dates Posting Open Date: April 23, 2026 Anticipated Posting Close Date: May 7, 2026 The posting may close early depending on applicant volume. Role overview The Director of Engineering - Edge Linux Networking leads Fastly’s Kernel engineering team. This group is responsible for the performance and stability of the low-latency data path through the Linux kernel and XDP, supporting all customer traffic. The team maintains Fastly’s kernel alignment with upstream releases and both uses and contributes to new Linux technologies. This role also oversees support for the hardware platform and manages the lifecycle of OCI containers and Linux Operating System Distributions. Strong leadership is essential to maintain the stability of Fastly’s Edge stack and deliver high-quality service to customers. Locations Denver, CO New York City, NY San Francisco, CA