Backend Product Engineer at Resiquant AI | San Francisco

About Us:At ResiQuant, we are dedicated to addressing a critical challenge in disaster resilience: the availability of accurate, standardized, and dynamic property data. As climate change and natural disasters such as earthquakes, hurricanes, and wildfires increasingly affect our world, informed risk decisions are often made with incomplete or erroneous data.Our mission is to equip insurers, financial institutions, and asset managers with AI-driven systems that integrate structural engineering knowledge. These systems help to bridge crucial data gaps, providing precise, actionable insights into buildings for improved decision-making.Founded by Stanford PhDs, we are devoted to utilizing state-of-the-art AI technologies to safeguard communities and businesses against the impacts of disasters. At ResiQuant, we envision a future where every organization has access to premier property risk intelligence, fostering resilience and protecting what matters most.The RoleIn this position, you will design and manage the backend systems that drive AI-powered property risk intelligence at enterprise scale. You will be responsible for creating APIs, data pipelines, and model-integrated services that provide reliable, real-time insights trusted by insurers for billion-dollar underwriting decisions. As an integral member of our early team, you will collaborate closely with the founders to establish the technical foundation of the platform and ensure that cutting-edge AI is applied safely and effectively within the insurance sector.What You’ll DoTake ownership of backend features from design through to deployment.Design scalable services and integrations tailored for Fortune 500 insurers.Construct pipelines to ingest, validate, and transform extensive property datasets.Develop and enhance AI-assisted backend functionalities (API design, retrieval-backed features, monitoring).Ensure observability, reliability, and performance across all systems.Work collaboratively with founders, engineers, and customers to rapidly iterate on impactful features.Who You Are0–5 years of engineering experience (1–3 years preferred). Outstanding new graduates are encouraged to apply.Bachelor’s degree in Computer Science or a related field.Proficient in Python, databases, and cloud platforms (AWS/GCP).Experience in delivering AI-assisted or data-intensive services (e.g., model APIs, retrieval pipelines).Strong understanding of backend engineering principles and practices.

About UsAt Amari AI, we are revolutionizing global trade by eliminating outdated, manual workflows in the logistics sector. Our innovative AI agents work in tandem with human operators to automate cumbersome, document-intensive tasks, enabling companies to expedite shipment processing while minimizing errors.Having successfully transitioned beyond the initial development phase, we have established a strong product-market fit, evidenced by our impressive growth rate of over 100% month-over-month in revenue. With a recent funding round of $5 million from First Round Capital and Pear VC, we are poised for significant expansion. Our highly skilled team comprises professionals from leading tech giants such as Google, LinkedIn, and Salesforce, as well as esteemed academic institutions and AI research labs.The RoleWe are seeking a talented Production Engineer who expertly navigates the realms of software development and systems engineering. Your primary objective will be to ensure our production environment is robust, fully automated, and easily observable. You will take charge of our CI/CD pipelines, oversee our AI infrastructure, and develop the internal tools that empower our development team to deliver code more rapidly and reliably.

Join Saris AI as a Staff Backend Software Engineer, where you will play a pivotal role in developing innovative solutions that harness the power of artificial intelligence. In this dynamic position, you will collaborate with cross-functional teams, design scalable systems, and contribute to the overall architecture of our backend solutions.

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 AI Factory, we are proud to combine cutting-edge developer-focused software with cost-effective, large-scale computational resources. Our platform provides teams with essential tools for experimentation, training, and production inference, all while ensuring security, observability, and control.Our clients range from independent researchers to startups and large enterprises. Lightning AI has a global footprint, with offices in New York City, San Francisco, Seattle, and London, and is supported by prominent investors including Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.Our ValuesMove Fast: We prioritize speed and precision, breaking down complex challenges into manageable steps.Focus: We tackle one goal at a time, working collaboratively to deliver features with accuracy.Balance: We believe sustained performance is rooted in rest and recovery, promoting a healthy work-life balance to optimize your performance.Craftsmanship: We value excellence and attention to detail, taking pride in honing our skills.Minimal: We embrace simplicity as a driver of innovation, eliminating unnecessary complexity through disciplined focus on what truly matters.What We're Looking ForWe are seeking a talented Backend Engineer to contribute to the development and scaling of the Lightning AI platform, encompassing frontend, CLI, API, billing, security, and integrations.The ideal candidate will take ownership of significant features and lead development efforts from conception to launch while collaborating with a highly skilled team of engineers, product managers, and designers. You will have the opportunity to advance groundbreaking technology that will reshape the machine-learning ecosystem!You will join the Blue Squad and report to our Director of Engineering. This is a hybrid position based in our Bay Area office, requiring in-office attendance two days per week.

About MetaviewAt Metaview, we are revolutionizing the workplace by eliminating the burdens of toil, the barrier to progress. We believe in the power of Human-Computer Symbiosis to enhance productivity.Our AI copilot transforms how hiring is approached, leading to:Increased flow-state, reduced toil.Enhanced insights, less guesswork.Focus on human-centricity over process-centricity.Founded in 2018 by Siadhal and Shahriar, both ex-Uber and Palantir employees, Metaview has grown to support thousands of users at leading companies like Quora, Robinhood, Brex, Elastic, and Replit. We're proud of our small yet high-performing team, dedicated to doing great work.About the RoleAs a Product Engineer at Metaview, you will embody a customer-centric and product-focused mindset. You will lead the design, development, and operational aspects of our products, taking ownership of your work in a collaborative and dynamic environment.While we seek a full stack talent, this role is geared toward those who lean towards backend development. Your primary responsibilities will revolve around backend coding, but you will also engage with other parts of the stack to maintain high productivity.We value clean and effective coding, and while familiarity with languages and tools is appreciated, a willingness to learn and adapt is essential as our product continually evolves. Currently, our technology stack includes:Python for backend application development.Typescript and React for frontend application development.Serverless Framework for application management.

About David AIDavid AI is pioneering the audio data research landscape, applying a rigorous R&D approach to dataset development akin to the methodologies used in AI labs for model creation. Our goal is to integrate AI seamlessly into real-world applications, with audio serving as the perfect entry point due to its inherent versatility and human connection. As the audio AI field progresses, the demand for high-quality training data becomes critical, and that's where David AI excels.Founded in 2024 by a team of experienced engineers and operators from Scale AI, David AI has quickly gained traction, serving prominent clients among FAANG companies and AI research labs. Recently, we secured a $50M Series B funding round from esteemed investors including Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, and First Round Capital.Our team embodies intelligence, humility, ambition, and a close-knit ethos. We are on the lookout for exceptional talent in research, engineering, product, and operations to join us in advancing the frontiers of audio AI.About Our Engineering TeamAt David AI, our engineering team is responsible for constructing the pipelines, platforms, and models that convert raw audio into valuable data for top AI labs and enterprises. We pride ourselves on our collaborative environment, comprising product engineers, infrastructure specialists, and machine learning experts dedicated to leading the charge in audio data research.We operate at a fast pace, taking ownership of our projects from conception through to production. Our team develops real-time processing pipelines capable of managing terabytes of audio data daily while deploying innovative generative audio models.About This RoleAs a Product Engineer at David AI, you will design and implement state-of-the-art tools that enable our users to leverage audio data effectively for training their AI models. You will collaborate closely with researchers to continuously refine our data collection methodologies.Your ResponsibilitiesDeliver full-stack features that will be utilized by thousands of users on a daily basis.Develop scalable systems that create essential data processing pipelines, extracting actionable insights from terabytes of audio data each day.Construct, deploy, and assess LLM and DSP-based solutions to enhance our clients' comprehension of intricate features within our datasets.Rapidly iterate on research hypotheses by collaborating with researchers and the operations team to deploy enhancements efficiently.

About UsAt Amari AI, we are transforming the logistics industry by replacing outdated manual workflows with intelligent AI agents. Our cutting-edge technology collaborates with human operators, automating complex, document-heavy processes to enable faster, more accurate shipment processing.Having surpassed the initial development phase, we have successfully achieved product-market fit and are experiencing exceptional growth, with over 100% month-over-month revenue increase. With $5 million raised from notable investors including First Round Capital and Pear VC, we are expanding our platform's capabilities. Our highly skilled team is composed of experts from leading tech companies such as Google, LinkedIn, and Salesforce, as well as prestigious academic institutions and AI research facilities.The RoleIn the capacity of Senior Backend Engineer at Amari AI, you will play a pivotal role in shaping the core data infrastructure that drives our AI-powered logistics platform. This position offers substantial ownership and autonomy, allowing you to design and scale systems responsible for ingesting, processing, and delivering real-time logistics data across various AI components, including pipelines, queues, databases, and search layers. Your technical leadership will significantly influence product reliability and performance from the outset.What You’ll DoDesign and scale distributed backend systems - including queue pipelines, service boundary definitions, and robust failure management strategies such as retry mechanisms, circuit breakers, and graceful degradation.Manage database design and reliability - focusing on schema design, indexing strategies, and query optimization tailored to specific use cases, along with data pipelines that maintain synchronization across systems at scale.Develop AI-driven search infrastructure for real-time logistics lookups and enhanced AI features.Provide technical leadership in a dynamic startup environment - establishing engineering standards, collaborating closely with the founders on strategic roadmaps, and mentoring future backend engineers.Who We're Looking For5–8 years of professional experience in backend software engineering, preferably in high-growth startups or large-scale production environments.Proven track record of end-to-end ownership of backend systems in fast-paced, ambiguous settings.Demonstrated capability in making informed architectural decisions under time constraints, with flexibility to adapt as requirements evolve.

Join Us at Retell AIRetell AI is revolutionizing the call center industry by leveraging innovative voice AI technology based on first principles.In just 18 months since our inception, we have attracted thousands of companies that rely on Retell's AI voice agents to efficiently manage sales, support, and logistics calls, previously handled by large teams of human agents. Supported by renowned investors such as Y Combinator and Alt Capital, we have rapidly grown from $5M to $36M in Annual Recurring Revenue (ARR) with a dedicated team of 20.Looking ahead to 2026, our ambition is to establish a state-of-the-art customer experience platform entirely powered by AI. We aim to create intelligent AI “workers” capable of serving as frontline agents, quality assurance analysts, and managers, continuously optimizing customer interactions without the need for constant human oversight.We are on an exciting growth trajectory and are seeking driven individuals who are eager to solve complex technical challenges, accelerate progress, and make a significant impact at one of the fastest-growing voice AI startups.Let’s innovate the future together!Ranked as a top 50 AI app by a16z: https://tinyurl.com/5853dt2x#4 on Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025One of the top startups on: https://leanaileaderboard.com/

Join a pioneering team of former Google engineers who have developed ground-breaking defensive technologies, such as Safe Browsing and reCAPTCHA. We are on a mission to confront an urgent challenge: combating the rising tide of adversarial AI attacks that threaten organizations globally.Operating in stealth mode, we are targeting a lucrative $5B+ market that is primed for innovation. Conventional detection methodologies are proving inadequate against the speed and sophistication of AI-driven assaults. Current adversaries are leveraging AI to engineer tailored, high-evasion attacks, leaving traditional systems vulnerable.Your Role:You will design a network of AI agents that are rapid, cost-effective, and precise, collaborating to identify and neutralize emerging threats. Your work will dive deep into real-time threat data, continuously evolving your agents in a fast-paced environment. These agents will function under an orchestration layer that fosters quick adaptation and learning.The Excitement of the ChallengeRapidly Evolving Models: The landscape changes daily; solutions that worked yesterday may be outdated today.Intelligent Adversaries: We are engaged in a real-time arms race against cunning, AI-enhanced attackers crafting sophisticated payloads.No Existing Playbook: We are forging new detection paradigms as swiftly as threats evolve. This high-stakes work places you in the heart of the action from day one.If you thrive on solving challenging problems with rapid feedback, this is your opportunity.Why We Are Positioned to SucceedExpansive Market: The market is vast at $5B and expanding quickly, while established players struggle to adapt.Proven Track Record: Our team has previously developed the foundational technology for Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our time at Google.Experienced Team: This is our third endeavor in creating a category-defining security enterprise, and we know how to scale our technology and our organization effectively.Deeply Integrated AI and Security: We embed AI from the outset rather than layering it on top.Top Talent: We hire only the highest achievers; many on our team were in the top 1% of engineers at Google. If you excelled in your previous role, you will fit right in.Agility: We prioritize speed and efficiency in everything we do.

Join David AI as a Staff Product EngineerAt David AI, we are pioneering the field of audio data research, applying a rigorous R&D methodology to create robust datasets that empower AI models. Our vision is to integrate AI seamlessly into daily life, with audio serving as the key medium. As the demand for high-quality training data grows, we position ourselves as the solution.Founded in 2024 by a team of seasoned engineers from Scale AI, we quickly garnered the trust of leading FAANG companies and AI labs. Our recent $50M Series B funding round was led by prestigious investors including Meritech and NVIDIA, underscoring our potential in the audio AI landscape.We pride ourselves on our dynamic, collaborative, and ambitious team, and we are on the lookout for exceptional talent in research, engineering, product, and operations to help us redefine audio AI.About Our Engineering TeamOur engineering team is at the forefront of innovation, building the infrastructure, platforms, and models that convert raw audio into valuable data for top-tier AI labs and enterprises. We are a close-knit group of product engineers, infrastructure experts, and machine learning specialists who are dedicated to establishing the first-ever audio data research organization.We operate with agility, taking ownership of our projects from inception to deployment, delivering production-ready solutions on a daily basis. Our engineers design real-time pipelines that manage vast amounts of speech data while deploying advanced generative audio models.Your RoleAs a Staff Product Engineer, you will spearhead our Product Engineering team, developing state-of-the-art products that enable our clients to harness audio data effectively for model training. You will collaborate with researchers to continually refine our data collection methodologies.Your ResponsibilitiesLead the development of full-stack features, rapidly iterating to deliver daily innovations to our users.Construct scalable systems that process terabytes of audio data and extract actionable insights.Deploy and assess LLM- and DSP-based solutions to enhance customer understanding of their data.Facilitate research iterations and deployment interfaces for data collection in collaboration with researchers and operations.

Think Different. Build the Future. Our MissionDevelop everyday AGI. Trustworthy, consumer-grade agents that redefine human–AI collaboration for millions. Software should proactively assist users, enhancing daily productivity and creativity.Why Join AGI, Inc.We are a pioneering team of elite founders and AI researchers with backgrounds from Stanford, OpenAI, and DeepMind. We are at the forefront of mobile and computer-use agents, focusing on bringing these groundbreaking capabilities to consumers on a large scale.With years of dedicated agent research, our AI is built around trustworthiness and reliability as foundational principles, rather than as afterthoughts.Backed by top-tier investors who have fueled the first generation of AI trailblazers, we are now on a mission to create the next: everyday AGI. (Watch the demo)If you envision possibilities where others see limitations, we invite you to read on.About the RoleAs one of the initial engineers, you will play a crucial role in shaping our core product and transforming how individuals incorporate AI companions into their daily workflows.Expect to:Innovate from scratch. Conceptualize on the whiteboard in the morning and have a demo ready by evening.Take ownership of the entire stack. Work across backend, frontend, model orchestration, and observability to minimize friction between ideas and final product delivery.Connect research with user satisfaction. Collaborate with scientists to translate breakthroughs into refined consumer experiences, pushing them to production within days, not months.Set the standard. Establish engineering, design, and reliability benchmarks that future team members will adhere to.Transform markets. Your features will not be confined to a sandbox; they will redefine how everyday individuals engage with and trust AI.You will lead projects from conceptualization to production deployment, iterating swiftly and placing genuine user feedback at the core of product decisions.Key ResponsibilitiesDevelop comprehensive experiences: Design, code, and implement end-to-end solutions that enhance user interaction with AI.

About KreaAt Krea, we are at the forefront of developing innovative AI-driven creative tools designed to enhance artistic expression.Our commitment lies in making AI accessible and manageable for creative professionals. We aim to create tools that enhance human creativity rather than replace it.We view AI as a revolutionary medium that facilitates self-expression across diverse formats, including text, images, video, sound, and even 3D content. Our goal is to create smarter, more intuitive tools that effectively leverage this medium.Your RoleDesign, implement, deploy, and maintain robust private APIs for our core web and mobile applications.Create and optimize database models.Troubleshoot system issues, particularly those related to HTTP/3 and client-side connections.Enhance database and infrastructure performance through effective caching solutions and improved connection pooling.Analyze and identify bottlenecks in HTTP/WebSocket requests to facilitate real-time image and video generation.Advance observability, monitoring, and alerting capabilities for our services to ensure effective incident management.Scale our services through architectural advancements and infrastructure enhancements.Open-source significant innovations derived from our product development efforts.Refine software development processes to create web-native and AI-native creative tools.Elevate our product by incorporating enterprise-level features such as Audit Logs, SAML/SSO, and SCIM.Our Technology StackJavaScript/TypeScriptSvelte & SvelteKitNode.js, PostgreSQL, and RedisWebSocketsManaged Kubernetes clusters on AWSMonitoring via Axiom/HyperDX/Prometheus/OpenTelemetryCollaborative tools: GitHub, Slack, Notion

Who We AreAt doss, we are pioneering the next generation of data management with our innovative AI-driven schema layer, designed specifically for physical-goods companies. Our platform acts as the 'Terraform for operators,' enabling businesses to adapt their systems of record swiftly in response to changes in their operations.Imagine leveraging AI foundation models for seamless schema migrations, achieving real-time observability across operational and financial data, and utilizing sophisticated git versioning for both schema and data modifications, all while composing workflows akin to infrastructure code.Your RoleDesign and develop the foundational EAV data model and schema-as-code platform that underpins every customer instance, ensuring a perfect balance between flexibility and transactional integrity.Construct a Git-style version control and migration engine capable of executing complex schema and data changes on live production environments for enterprise clients.Create AI-enhanced tooling that leverages foundation models to propose, validate, and implement new customer schemas and workflow definitions.Scale our white-labeled data warehouse (similar to BigQuery or Snowflake) to handle high-volume, low-latency analytics and automation tasks.Develop Terraform-like declarative APIs and SDKs to allow operations teams to manage business processes as code while ensuring security, tenancy, and performance.Provide end-to-end observability and searchable insights across supply chain, finance, and operational data, highlighting business logic in user-friendly language through AI-native search capabilities.Implement Enterprise guardrails within a composable system to preemptively identify anomalies or risky patterns.Foster a collaborative engineering culture, working closely with product and design teams to transform traditional back-office challenges into elegant, resilient systems that operators admire.Your SkillsProficiency in building large-scale ETL processes using databases such as Postgres, Elasticsearch, DuckDB, Memgraph (Graph DB), etc.Experience utilizing cloud services for the development and deployment of reliable web applications.Ability to work with abstractions to create scalable and complex graph-based architectures.About YouTeam-oriented: You bring enthusiasm, openness, and inquisitiveness to the team every day.Innovative thinker: You thrive on developing creative solutions to complex problems.Detail-oriented: You possess a keen eye for detail and a passion for delivering high-quality work.

About KernelKernel is an innovative developer platform that delivers Lightning-Fast Browsers-as-a-Service for browser automation and web agent deployment. Our API and MCP server empower developers to effortlessly launch cloud-based browsers without the hassle of infrastructure management.Our serverless browser solution takes care of the complexities: autoscaling, dependable browser infrastructure, observability, and intricate web interactions, allowing developers to concentrate on their agents' functionality rather than the underlying technology. Kernel brings AI to life, enabling developers to create agents that genuinely engage with the digital landscape.Our platform is trusted by teams at Cash App, Rye, and many others for various tasks including in-depth research, QA automation, and real-time web analysis. We recently secured $22M in funding from notable investors such as Accel, YCombinator, Vercel, Paul Graham, Solomon Hykes (Docker), David Cramer (Sentry), and Charlie Marsh (Astral).With just a single line of code, you can deploy any web agent to our cloud infrastructure. If you are passionate about developing essential infrastructure for the future of AI applications, we would love to connect with you.

About DelveDelve is pioneering an AI-native platform that revolutionizes compliance, transforming it from labor-intensive tasks into seamless, automated workflows.As the fastest growing compliance company in the industry, Delve enables hundreds of companies to save hundreds of hours (including notable clients like Lovable, 11x, and WisprFlow) by removing compliance busywork, allowing them to concentrate on what truly matters — securely serving their customers.Our team is a close-knit group of innovators—comprising former founders, operators, and engineers—dedicated to tackling genuine challenges for real customers. Our backgrounds span prestigious institutions like Stanford, MIT, Berkeley, and OpenAI, and we are funded by Insight Partners, General Catalyst, Y Combinator, among others. We recently secured a $32M Series A funding and are rapidly expanding!Step by step, we are on a mission to abolish busywork for humanity.About the RoleWe are seeking a Backend Engineer to take charge of the core systems that drive our AI workflows. In this role, you will design schemas, define APIs, and construct scalable backend architecture, closely collaborating with both engineering and product teams.This is an in-office position in San Francisco, where the founding team collaborates daily to make swift decisions and develop production-ready software deployed weekly.What You’ll DoManage backend systems: data models, APIs, and system design with scalability in mind.Lead schema and system design for our AI-native workflows.Utilize TypeScript, Node.js, Postgres (our current tech stack).Enhance backend performance and lay the groundwork for scalability.Collaborate closely with product engineers and AI engineers to define and implement backend contracts.Contribute to product development with practical engineering insights—this role is not just about fulfilling tickets.What We’re Looking For3–4 years of backend engineering experience (including personal projects and startup work).Strong experience in relational data modeling and API design.Proficiency in TypeScript, Node.js, Postgres, and ORM tools.Familiarity with system architecture patterns for scalable applications.Excellent problem-solving skills and a collaborative mindset.

About LightfieldLightfield is a cutting-edge AI-driven CRM that seamlessly integrates with your email, calendar, and meetings. Our platform captures every interaction, transforming it into organized context—encompassing accounts, tasks, follow-ups, and insights—ensuring no detail is overlooked.We are redefining CRM by focusing on fundamental principles. Rather than imposing rigid systems, Lightfield adapts to the natural workflows of companies, automating processes and revealing insights that propel growth. We're crafting the CRM platform we've always desired: swift, intelligent, and truly beneficial.Our team, backed by prominent investors such as Greylock, Lightspeed, and Coatue, has previously created Tome, a generative AI presentation tool utilized by over 25 million users. Many of us have also contributed to renowned products at Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are seeking a highly motivated and innovative engineer who is passionate about harnessing LLMs to create exceptional product experiences. Join us at the forefront of AI product innovation, where you will develop industry-leading solutions to address critical customer challenges.As an engineer at Lightfield, you will take ownership of projects from conception to execution, collaborating with cross-functional teams throughout the process. You will also help shape our company's product and technical vision, learning from each project as we continue to expand.What You Will DoPartner with product leaders to pinpoint customer challenges, define requirements, and implement LLM-powered solutions.Utilize LLMs as reasoning engines to develop domain-specific AI assistants.Craft and refine prompts, employing techniques such as few-shot learning and chain-of-thought.Design and optimize end-to-end RAG pipelines and agent architectures to effectively utilize both public and proprietary data.Enhance the overall quality of AI agents (e.g. relevance, fidelity, latency) through empirical evaluation and iterative improvements.Create and improve systems and tools that facilitate high-velocity experimentation (e.g. LLM-powered automated evaluation) and personalized product experiences.Stay updated with the latest AI research and integrate cutting-edge techniques into our work.Contribute to defining technical direction and best practices for AI application development at Lightfield.Play a role in building a world-class engineering culture.

Senior Backend EngineerJoin LiteLLM, the leading AI Gateway trusted by industry giants including Adobe, Netflix, and NASA. Our platform empowers developers with secure and reliable access to Large Language Models (LLMs) and related services. We are currently seeking a dedicated Senior Backend Engineer to contribute to the development of robust guardrails and observability tools at scale.About The RoleIn this role, you'll take ownership of our guardrail and logging implementations. You will oversee backend code to ensure all guardrail interactions are logged accurately, user errors are communicated effectively, and that our observability tools function seamlessly under high traffic conditions. Your meticulous attention to detail regarding latency metrics, logging traceability, and backend guardrail registration will significantly bolster user confidence in our security and compliance capabilities.ResponsibilitiesDevelop and enhance our product to maximize performance, reliability, and ongoing improvements.Ensure guardrail and policy enforcement calls (e.g., applyguardrail) are accurately logged and traceable through our SpendLogs and relevant database tables.Design and implement CPU-level guardrails to mitigate common attacks on LLM APIs, MCP servers, and Agents.Identify and resolve silent failure points in guardrail creation, registration, and policy application—ensuring robust error handling and transparency for end users.Collaborate with observability tools such as Datadog, Splunk, Prometheus, and OpenTelemetry to maintain accurate, configurable, and effective monitoring and logging for backend systems.Enhance observability integrations to manage over 1 billion requests per month with minimal latency and no memory leaks due to Prometheus metrics cardinality.Work cross-functionally on backend engineering priorities including performance, reliability, and security enhancements.What We’re Looking ForBachelor’s or Master’s degree in Computer Science or a related field.4+ years of experience with Python and backend frameworks (e.g., FastAPI, Flask).Strong understanding of logging best practices, error handling, and secure backend development.Familiarity with monitoring, logging, or metrics tools.

Join us on-site in the vibrant Dogpatch neighborhood of San Francisco as a Senior Backend Engineer.About GigaGiga, a pioneering voice AI startup, has successfully secured a $61M Series A funding and boasts an impressive roster of clients including DoorDash. We are dedicated to revolutionizing the customer experience through real-time AI agents capable of understanding emotions and resolving issues instantly, while being scalable across the globe's largest enterprises.This is a pivotal moment for our company as we aim to expand our horizons. Our ambition is to position Giga as the premier AI platform for enterprise automation, driven by our cutting-edge voice superintelligence. To realize this vision, we are seeking exceptional engineers to join our team.Our engineers are empowered to make significant impacts, influencing the daily experiences of millions. This unique opportunity allows you to work alongside visionary founders, contribute to a commercially successful venture, and help shape a generational company. Here are some highlights about us:Voice AI startup Giga raises $61M Series ADoorDash and Giga PartnershipGiga is trusted by leading B2C companies around the world to manage their most complex support and operational workflows across various communication channels including voice, chat, and email. If this excites you, we encourage you to apply!The RoleWe are searching for innovative backend engineers to develop the infrastructure and systems that power our AI agents. You will engage with a variety of technologies from data pipelines and analytics to real-time agent systems, delivering features that have a direct impact on our customers' operations.This position grants you the freedom to own challenges from start to finish—identifying the optimal approach, constructing solutions, and refining them based on your findings.What You'll Work OnHere are a few key projects from our current roadmap:Analytics overhaul: Transitioning our analytics service to ClickHouse and optimizing it for the next phase of growth.Hallucination detection: Enhancing our detection systems with the aim of minimizing hallucination occurrences.Browser agent utilization: Scaling and stabilizing our systems to ensure robust performance.

Join Us as a Founding Backend EngineerAt Plaud Inc., we are on a mission to redefine the way professionals interact with AI through innovative note-taking solutions. Since our inception in 2023, we have garnered the trust of over 1,000,000 users worldwide, making us a leader in AI productivity tools. Our vision is to enhance human intelligence by creating next-generation infrastructures that capture, extract, and leverage insights from what you say, hear, see, and think.As a Delaware-incorporated company based in San Francisco, we pride ourselves on pushing the limits of human-AI interaction. Our commitment to data security is reflected in our compliance with SOC 2, HIPAA, GDPR, ISO27001, ISO27701, and EN18031 standards.Why You Should Be Part of Our TeamExperience rapid growth at a bootstrapped, profitable company with a $250 million revenue run rate achieved in just three years.Help shape the future of human-AI interaction.Work with cutting-edge AI technology and contribute directly to our global expansion.Collaborate with a team of passionate individuals who prioritize innovation, teamwork, and customer satisfaction.Advance your career in an environment that promotes continuous learning and swift career development.

About HappyRobotHappyRobot is a pioneering AI-native operating system designed for the real economy. We bridge the gap between intelligence and action by integrating real-time insights, specialized AI operatives, and orchestrating intelligence. Our technology empowers enterprises to manage complex, mission-critical operations with genuine autonomy.Our AI OS continually enhances knowledge, optimizes processes, and adapts over time. We are focusing initially on supply chain and large-scale industrial operations, where resilience, speed, and ongoing improvement are crucial—allowing humans to concentrate on strategy, creativity, and other high-value activities.Discover more about our vision in our Manifesto. To date, HappyRobot has secured $62M in funding, including a recent $44M Series B round in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who share our commitment to transforming enterprise operations. We are channeling this investment into building a world-class team—individuals with relentless drive, exceptional problem-solving abilities, and a passion for pushing boundaries in a dynamic, high-intensity setting. If this resonates with you, consider joining HappyRobot.About The RoleAt HappyRobot, Backend Software Engineers take ownership of critical components of our product and infrastructure from inception to deployment. We are seeking passionate builders who excel in uncertain environments, value craftsmanship, and desire true ownership of their creations.