Backend Engineer - Join DepthFirst AI in San Francisco

About DepthFirst AIAt DepthFirst, we recognize that software serves as the backbone of modern civilization, yet its vulnerabilities pose significant risks to integrity, security, and resilience. Our mission is to address these security challenges head-on.We are pioneering the development of intelligent systems that autonomously identify and remediate critical software vulnerabilities. Our focus lies in training and scaling AI agents to uncover zero-day vulnerabilities across extensive customer codebases and widely-used open-source software.Our esteemed founding team brings a wealth of experience in security and large language models, featuring technical leaders from industry giants such as DeepMind, Databricks, Square, and Faire. We are in search of talented individuals eager to explore the intersection of AI, security, and infrastructure.About the Role:We are on the lookout for a seasoned Backend Engineer who will spearhead the creation of the world's first AI-native platform dedicated to autonomously identifying and resolving software vulnerabilities in code. You will be integral to developing the infrastructure that drives our security AI agents, tackling challenges related to large-scale code execution, complex agent orchestration, evaluation benchmarks, and training pipelines. We prioritize engineering excellence and secure designs capable of scaling for thousands of enterprise-level users. Your contributions will be pivotal in redefining how businesses approach security.What Excites You About This Role:Technical Leadership: Mentor team members, establish technical direction, and set best practices for backend engineering at DepthFirst.Architect and Scale: Develop complex coding agent pipelines that efficiently scan and execute large codebases to identify intricate vulnerabilities.Benchmark Development: Build, maintain, and refine evaluation benchmarks for AI agents that mirror real-world user challenges.Ownership: Take charge of our product, influencing its architecture, performance, and long-term success.Impactful Work: Participate in a project that addresses critical security issues. Our initial customers have already seen significant value in resolving vulnerabilities shortly after adopting our solution.

About DepthFirst AIAt DepthFirst AI, we recognize that software underpins modern civilization, yet its vulnerabilities pose significant risks to integrity and security. Our mission is to enhance software security through innovative solutions.We are developing cutting-edge intelligence to identify and remediate critical software vulnerabilities, leveraging AI agents to discover zero-day vulnerabilities across extensive customer codebases and popular open-source software.Our founding team comprises industry leaders from DeepMind, Databricks, Square, and Faire, bringing unparalleled expertise in security and large language models (LLMs). We seek talented technical professionals eager to explore the intersection of AI, security, and infrastructure.Role Overview:We are looking for a skilled Research Engineer to contribute to the development and training of AI agents focused on vulnerability discovery and exploitation.Your work will be pivotal in creating technology capable of detecting vulnerabilities, akin to Log4J, at scale, ensuring the security of customer and open-source codebases.Ideal candidates will possess a strong engineering intuition, experience in model evaluation and benchmarks, with reinforcement learning experience being an added advantage. Your contributions will be instrumental in shaping a product that aims to revolutionize security practices for companies.Why You Will Love This Role:Develop Cutting-Edge AI pipelines tailored for the detection and exploitation of complex software vulnerabilities.Design and Maintain evaluation benchmarks that genuinely reflect the challenges faced by our users.Craft effective training methodologies and reinforcement learning environments for security coding agents.Be Part of a Solution to critical security challenges, with feedback from our valued customers revealing the immediate impact of our product.

About depthfirst depthfirst builds software to strengthen the foundations of modern technology. The team focuses on protecting software from vulnerabilities that threaten its reliability and security. The mission: make software safer everywhere it runs. depthfirst develops intelligent tools that find and fix critical software vulnerabilities. The company trains and scales security AI agents to uncover zero-day issues in large customer codebases and widely used open source projects. The founding team brings experience from DeepMind, Databricks, Square, and Faire, with deep backgrounds in data, infrastructure, security, and large language models. depthfirst welcomes technical professionals interested in working where AI, Security, and Infrastructure meet. Role Overview: Security Product Engineer This San Francisco-based role centers on working directly with enterprise customers to implement depthfirst's security AI agents in their environments. The Security Product Engineer acts as the technical point of contact, ensuring the AI tools detect vulnerabilities at scale within real-world systems. The position blends hands-on engineering with regular customer interaction. Security Product Engineers learn about each customer's security landscape, design custom integrations using depthfirst's platform, and partner with the product team to turn successful solutions into product features. The work shapes both how customers use depthfirst and how the product evolves. What You Will Do Work with enterprise customers to deploy depthfirst's security AI agents in production. Build strong relationships with security teams, acting as a trusted advisor who understands their needs. Translate customer challenges into practical solutions, including custom integrations, data pipelines, and workflows connecting depthfirst with existing security tools. Identify common patterns across deployments and collaborate with the product team to develop platform-wide capabilities. Communicate effectively with stakeholders at all levels, from security engineers to CISOs. Own the technical delivery process, from initial scoping through implementation and ongoing optimization. Travel to customer sites when needed to support successful deployments.

About DepthFirst AIAt DepthFirst, we are committed to reinforcing the backbone of modern civilization: software. However, vulnerabilities pose significant risks to its integrity, security, and resilience. Our mission is to innovate solutions to enhance software security.We are pioneering intelligence technologies designed to detect and remediate critical software vulnerabilities. Our focus is on training and scaling security AI agents capable of identifying zero-day vulnerabilities across extensive customer codebases and widely-used open source software.With a founding team comprising experts from leading organizations like DeepMind, Databricks, Square, and Faire, we seek talented individuals eager to work at the confluence of AI, Security, and Infrastructure.About This Role:We are in search of an accomplished Security Researcher to contribute to the development and training of AI agents specialized in vulnerability discovery and exploitation.Your role will involve creating technology that can uncover vulnerabilities at scale, akin to discovering the next Log4J, and facilitating the identification and remediation of vulnerabilities in both customer and open source codebases.We are seeking dynamic security researchers with a keen intuition for identifying, analyzing, and investigating application vulnerabilities. Collaborating with AI researchers and engineers, you will explore novel attack vectors and assist in the advancement of sophisticated detection and defense mechanisms. Your contributions will be vital in reshaping security practices for organizations worldwide.You Will Be Excited About This Role Because You Will:Develop technologies capable of identifying novel vulnerabilities at scale in both proprietary and open source codebases.Design techniques aimed at minimizing false positives through automated exploitation, proof of concept generation, and context inference.Engage closely with engineers to comprehend limitations and innovate methodologies to enhance our systems.Publish internal technical reports and contribute to security advisories as necessary.Work on a product that addresses critical security issues, already proving valuable to customers by helping them rectify significant vulnerabilities within days of implementation.

About depthfirst depthfirst builds software security solutions to protect the integrity and resilience of critical systems. The team focuses on tackling vulnerabilities that threaten modern software, aiming to safeguard codebases across industries. Using AI-driven security agents, depthfirst uncovers zero-day vulnerabilities in both customer applications and widely used open-source projects. The company’s founders bring experience from DeepMind, Databricks, Square, and Faire, blending backgrounds in data, infrastructure, security, and AI. depthfirst welcomes thoughtful, driven people interested in working where AI, security, and infrastructure intersect. Role Overview: Channel Partnerships Lead This in-office position is based in San Francisco. The Channel Partnerships Lead will report directly to the CRO and work closely with Sales, Revenue Operations, and Marketing. The role centers on building and expanding a strong partner network as depthfirst grows. depthfirst has already gained traction with key cybersecurity value-added resellers (VARs). The next step is to strengthen these relationships and grow a partner ecosystem that drives meaningful business pipeline. The Channel Partnerships Lead will evaluate new channel opportunities, including managed security service providers (MSSPs), hyperscaler marketplaces, global systems integrators (GSIs), and potential product integration partners. This position suits someone entrepreneurial who enjoys building relationships, driving revenue through partnerships, and shaping a partner program from the ground up. Compensation rewards partner-driven pipeline and closed-won deals. What You Will Do Identify, recruit, and onboard strategic partners such as VARs, MSSPs, hyperscaler marketplace partners, and GSIs. Build and nurture strong partner relationships, enabling partners to position and sell the depthfirst platform. Drive pipeline and revenue through partnerships, collaborating with account executives on co-selling and deal execution. Develop partner enablement programs, including training, certifications, and go-to-market strategies.

About depthfirstAt depthfirst, we recognize that software is the cornerstone of contemporary society, yet it is continuously threatened by vulnerabilities that undermine its integrity, security, and resilience. Our mission is to fortify the world's software.We are pioneering intelligence solutions to identify and address critical software vulnerabilities. Our focus lies in training and scaling security AI agents to uncover zero-day vulnerabilities across extensive customer codebases and widely-used open-source software.Our founding team boasts extensive expertise in data, infrastructure, security, and AI, featuring leaders from renowned organizations such as DeepMind, Databricks, Square, and Faire.About This RoleWe are in search of a Forward Deployed Engineer to engage directly with our clients, deploying and operationalizing depthfirst's security AI agents within their environments. In this role, you will serve as the technical conduit between our product offerings and enterprise security infrastructure, ensuring our AI effectively identifies vulnerabilities at scale.You will collaborate closely with clients to understand their unique security challenges, develop custom integrations on top of depthfirst's platform, and work alongside our product team to refine and generalize solutions. This position merges hands-on engineering work with in-depth customer collaboration, allowing you to influence both customer experiences with depthfirst and the evolution of our product.What You'll Be DoingIntegrate depthfirst's security AI agents into production environments for enterprise clientsEstablish strong relationships with security teams, becoming a trusted advisorTranslate client challenges into practical solutions: develop custom integrations, data pipelines, and workflows that connect depthfirst with existing security toolsAct as a liaison between customers and the product team—identify deployment patterns and collaborate to enhance platform capabilitiesEffectively communicate with a range of stakeholders, from security engineers to Chief Information Security Officers (CISOs)Manage the complete technical delivery process, from scoping and implementation to optimizationTravel to client sites as necessary to ensure successful project outcomes

About depthfirstAt depthfirst, we are passionate about harnessing the power of software as the backbone of modern civilization. However, inherent vulnerabilities pose significant risks to its integrity and security. Our mission is to fortify software systems worldwide.We are pioneering intelligence-driven solutions to identify and mitigate critical software vulnerabilities. Our focus is on developing and scaling AI security agents capable of discovering zero-day vulnerabilities within extensive customer codebases and widely-used open-source software.Our leadership team comprises seasoned experts in data, infrastructure, security, and AI, featuring talent from renowned organizations such as DeepMind, Databricks, Square, and Faire. We invite motivated and thoughtful individuals to join us at the exciting crossroads of AI, security, and infrastructure.About This RoleAs a Business Operations Lead, your role will be pivotal in our strategic scaling during this exhilarating growth phase at depthfirst. This position is ideal for someone eager to learn, who thrives in a fast-paced environment, and enjoys juggling diverse tasks ranging from data analysis to operational execution and cross-functional collaboration.You will engage with various workstreams within Finance and Operations, taking ownership of initiatives that are vital for maintaining our efficiency in a rapidly evolving company. No task is too big or small, and this role offers substantial opportunities for professional growth as we expand.Your enthusiasm for this role stems from the fact that you will...Assist in analyzing key business drivers by extracting data, constructing models, and identifying successes and areas for improvement.Lead cross-functional projects encompassing GTM, product development, engineering, and more, ensuring progress and preventing any oversights.Steer operational initiatives that require a structured and accountable leadership approach, including vendor management, compliance workstreams, and process documentation.Serve as a crucial connector among teams, facilitating follow-ups, coordination, and resolution of obstacles.Take a hands-on approach to meet business needs, demonstrating comfort in both data analysis and practical operational tasks.

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 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 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.

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 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.

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.

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.