Senior Frontend Engineer in AI at Airwallex | San Francisco

Join Airwallex as a Senior Frontend Engineer, AIAt Airwallex, we redefine the landscape of global financial services. As the premier unified payments and financial platform for businesses around the globe, we harness our proprietary technology to empower over 200,000 organizations, including notable names like Brex, Rippling, Navan, Qantas, and SHEIN. Our fu…

Be a Part of the Revolution in E-Commerce with Whatnot!Whatnot stands as the leading live shopping platform across North America and Europe, where you can buy, sell, and explore the items you cherish. We are transforming the landscape of e-commerce by merging community engagement, shopping, and entertainment into a unique experience tailored just for you. As a remote-first team, we are driven by innovation and firmly rooted in our core values. With operational hubs in the US, UK, Germany, Ireland, and Poland, we are collaboratively crafting the future of online marketplaces.From fashion and beauty to electronics and collectibles like trading cards, comic books, and live plants, our live auctions cater to a diverse audience.And this is just the beginning! As one of the fastest-growing marketplaces, we are on the lookout for innovative, forward-thinking problem solvers in all areas of our business. Stay updated with the latest from Whatnot through our news and engineering blogs, and join us in empowering individuals to transform their passions into successful ventures while fostering community through commerce. The RoleWe are seeking passionate builders—intellectually curious, entrepreneurial engineers who are ready to pioneer the future of AI and ML at Whatnot. You will be responsible for designing and scaling the foundational infrastructure that supports machine learning and self-hosted large language model applications throughout the organization. Collaborating closely with machine learning scientists, you will facilitate the deployment of cutting-edge models into production, creating entirely new product experiences. Your work will involve constructing systems that ensure advanced machine learning is reliable and efficient at scale—from low-latency model serving to distributed training and high-throughput GPU inference.Your Responsibilities:Lead the infrastructure that powers AI and ML models across vital business domains—enhancing growth, trust and safety, fraud detection, seller tools, and more.Prototype, deploy, and operationalize innovative ML architectures that significantly influence user experience and marketplace dynamics.Design and scale inference infrastructure capable of managing large models with minimal latency and maximal throughput.Construct distributed training and inference pipelines utilizing GPUs, as well as model and data parallelism.Push the boundaries of your expertise and explore new technologies and methodologies.

Embrace the Future of Commerce with Whatnot!Whatnot stands as the premier live shopping platform across North America and Europe, where enthusiasts can buy, sell, and discover their favorite items. We are revolutionizing e-commerce by merging community, shopping, and entertainment into a unique marketplace tailored for you. As a collaborative remote team, we thrive on innovation and are grounded in our core values. With a presence in the US, UK, Germany, Ireland, and Poland, we are collectively shaping the future of online marketplaces.From fashion and beauty to electronics and collectibles like trading cards, comic books, and live plants, our live auctions cater to diverse interests.And this is just the beginning! As one of the fastest-growing marketplaces, we are in search of visionary problem solvers across all departments. Stay updated with our latest endeavors through our news and engineering blogs, and become part of our mission to empower individuals to transform their passions into thriving businesses while fostering community through commerce. Role OverviewAs a pivotal senior leader within our Infrastructure team, you will be instrumental in the growth and enhancement of Whatnot’s platform. You will manage our Platform Engineering team, collaborating closely with engineering, product, and operations teams to develop scalable, reliable, and high-performance systems that can accommodate millions of users as we expand.Key Responsibilities:Lead, mentor, and inspire a team of talented engineers, guiding them through complex technical challenges while fostering their personal and professional development.Craft and execute strategic roadmaps for platform engineering that align with organizational goals, ensuring scalability and enhancing developer productivity.Prioritize enabling engineers to work efficiently and rapidly, utilizing and building on our platform services.Engage with cross-functional teams to influence product strategies and ensure engineering solutions fulfill both business and technical requirements.Champion best practices in software engineering, emphasizing the reduction of technical debt, enhancement of code quality, and the continual evolution of engineering methodologies.

Join the Orb Team:At Orb, we are redefining the monetization landscape for modern AI and software companies. Our cutting-edge billing infrastructure transforms complex usage-based pricing into a strategic advantage, empowering industry leaders like Vercel, Pinecone, and Replit with real-time billing automation, rapid pricing experiments, and detailed revenue analytics.With $44.1M in backing from premier investors including Mayfield, Menlo Ventures, and Greylock, we are a dynamic and fast-paced team dedicated to building the infrastructure that shapes the future of monetization.We foster a hybrid work environment, with team members collaborating in the office three days a week. Our core values—customer centricity, urgency, innovation, and meticulousness—guide our collective growth and operational excellence.Your Role:As a vital member of our infrastructure team, you will uphold our commitment to reliability, ensuring our systems function seamlessly as our customers depend on them for their revenue streams. You will oversee the infrastructure that underpins our entire product suite, encompassing event ingestion, API services, alert systems, invoicing, and more.Key Responsibilities:Lead initiatives focused on infrastructure resilience, including recovery mechanisms, tenant isolation, and handling load spikes.Enhance the observability and operability of our systems.Develop performance-critical, user-facing infrastructure, such as real-time event processing.Strategize scaling initiatives to accommodate significant customer growth.Collaborate with cross-functional engineering teams to ensure the establishment of reliable product features.Share your expertise and learn from a talented peer group.What You Bring:A deep understanding of edge cases, failure modes, and bottlenecks.Strong investigative skills for diagnosing complex errors and performance challenges.A passion for building scalable infrastructure for high-growth products.Experience mentoring fellow engineers on best practices in observability, rollout strategies, and risk management.5+ years of software engineering experience, particularly in infrastructure roles.

About the RoleJoin the Engineering Acceleration Delivery / Continuous Deployment team at OpenAI, where we develop and maintain systems designed to securely deploy OpenAI’s infrastructure and product code into production.Our team is responsible for the deployment platform, release pipelines, and safety mechanisms that empower engineers across OpenAI to make rapid changes while minimizing operational risks. Our goal is to streamline production deployments, enhancing speed, safety, and autonomy.This position is a unique opportunity to work at the convergence of developer productivity, distributed systems reliability, and large-scale infrastructure orchestration.In This Role, You WillArchitect and implement continuous deployment infrastructure that efficiently manages changes across multiple Kubernetes clusters and global regions.Create systems for progressive delivery, incorporating techniques like canary releases, staged rollouts, and automated rollback processes.Enhance engineering velocity by reducing friction within the release pipeline and automating operational workflows.Collaborate with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale.Refine and adopt deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns.Develop systems that automatically assess deployment health through metrics, logs, traces, and alerts to identify regressions and initiate safe rollbacks.Create systems that facilitate agent-assisted or fully autonomous deployment workflows using cutting-edge AI tools.Technologies you will work with include:Kubernetes for large-scale container orchestration and runtime infrastructurePython and FastAPI for internal servicesTerraform for infrastructure as codeGitOps-based deployment workflows (e.g., ArgoCD, Flux, or similar systems)Buildkite for CI orchestration

At Scribd, Inc., we are dedicated to enhancing human understanding through our innovative products — Scribd®, Slideshare®, Everand™, and Fable — which empower billions of users worldwide to transform access into insight, application, and expertise.Our CultureWe foster an environment where authenticity and boldness thrive. Our culture encourages open debate and commitment, allowing us to embrace unexpected challenges while prioritizing our customers. We believe that the best outcomes emerge when individual flexibility is harmonized with strong community connections.Scribd Flex offers our employees the freedom to choose their workstyle and location to optimize performance, while also committing to essential in-person interactions that enhance collaboration and strengthen our culture. All employees are expected to attend occasional in-person meetings, regardless of their location.What do we seek in our new team members? At Scribd, Inc., we value "GRIT," which embodies the blend of passion and perseverance toward long-term goals. This mindset guides our work ethic: setting and achieving Goals, delivering impactful Results, contributing Innovative ideas, and fostering a collaborative Team environment.About the Data Platform Team:Our Data Platform team is pivotal in creating and managing the analytical data models and transformation layers that generate reliable metrics, experimentation, machine learning, and product insights for Scribd, Everand, and Slideshare. Currently, we are investing in modernizing our data architecture to ensure that all teams can rely on well-structured and governed data.You will be part of a data engineering team tackling intricate challenges across our three brands, which serve over 200 million monthly visitors and 2 million paying subscribers. This role presents a significant opportunity to influence the evolution of Scribd’s data platform and elevate our engineering practices to world-class standards.Your RoleAs a Staff Data Engineer, you will serve as both a technical expert and a strategic leader. You will lead the design of core data models and...

The Role:Join us as a dynamic Frontend Tech Lead at f2-ai, where you'll take the helm in crafting our cutting-edge, AI-driven enterprise UI platform. This is a unique opportunity for an innovative engineer who enjoys building robust systems from the ground up and is eager to influence our technical direction while writing production-level code.Key Responsibilities:UI System Development: Design and implement foundational frontend features, actively coding and delivering essential React/TypeScript components.Frontend Architecture Leadership: Shape the technical vision and roadmap for our React-based UI platform, ensuring swift iterations and effective scaling of user experiences.Performance, Security, and Accessibility: Create high-performance, responsive interfaces that comply with SOC 2 and accessibility standards, emphasizing maintainability and cost-effectiveness.AI Integration: Collaborate with the team to incorporate intelligent features, data visualizations, and interactive tools that reveal AI-driven insights.Engineering Excellence: Establish and maintain coding standards, component libraries, and review processes; mentor fellow engineers to cultivate a culture of reliable, test-driven development.Collaborative Partnerships: Work closely with product, design, backend teams, and enterprise clients to translate requirements into elegant UI solutions.Qualifications:Proven Technical Leadership: 7+ years of experience in building and scaling mission-critical frontend systems using TypeScript and React, with a demonstrated capability to architect solutions from scratch.API Design Proficiency: Extensive experience in designing and utilizing RESTful and GraphQL APIs, including state management and effective data-fetching techniques.Results-Oriented Mindset: You excel in environments where you take ownership of features from start to finish, iterate quickly, and deliver production-ready UI solutions.Familiarity with Styling Solutions: Experience with CSS-in-JS methodologies (e.g., Styled Components, Emotion) or utility-first frameworks like Tailwind.

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 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 the RoleHinge Health is on the lookout for a talented Mechanical Engineer II to join our dynamic Hardware Engineering team. In this pivotal role, you will contribute significantly to the design and development of our next-generation hardware products. As a mid-level engineer, you will tackle a range of projects, focusing on mechanical designs for advanced medical devices that are highly integrated. You will collaborate across various teams, including electrical, mechanical, and manufacturing, to successfully transition products from concept to production.The ideal candidate is passionate about addressing real-world challenges through hardware innovation—your efforts will directly enhance the lives of millions of our members by alleviating pain and improving their well-being. By joining our Hardware group within the broader R&D organization, you will be part of a highly skilled, motivated, and compact team where your ideas and contributions are valued.What You'll AchieveCreate intricate device assemblies and manufacturing fixtures using 3D CAD, integrating components like PCBAs, batteries, and connectors.Rapidly prototype and test using various technologies (3D printing, machining, etc.)Engage in all phases of product development, from exploration and prototyping to detailed design, testing, and scaling for mass production.Work closely with electrical, firmware, and senior mechanical engineers on system architecture and integration.Maintain design quality and adhere to medical device regulatory standards through clear documentation and thorough testing.Assist manufacturing and sustaining engineering by optimizing designs for cost reduction and enhanced manufacturability, supporting process or test development, and aiding in failure analysis.Hinge Health Hybrid ModelWe believe in the advantages of both remote and in-office work, and we aim to harness the best of both worlds. Employees in hybrid roles are expected to work in the office three days a week for a full eight-hour business day. Our San Francisco office features a dog-friendly work environment.

Human Delta serves as the AI adoption catalyst for American enterprises, enabled by leading venture capital firms such as Susa Ventures, Wischoff Ventures, Afore Capital, and the Kleiner Perkins Scout Fund, alongside esteemed angels from renowned research institutions and financial entities. Our talented engineering team is dedicated to creating an operational framework that ensures enterprise AI is reliable, secure, and scalable.The Role:As a pivotal member of Human Delta, you will contribute to our mission of facilitating AI adoption in large enterprises. Our platform is utilized by a diverse range of users, from technical teams to operational leaders, who depend on our solutions to gain insights into their systems, understand process dynamics, and observe AI behavior in practical scenarios.In this role, you will operate at the confluence of engineering, product development, and operations. Your responsibilities will include converting complex real-world challenges into actionable technical strategies, making impactful architectural choices within established constraints, and working closely with founders and clients to tailor our platform to the rigorous demands of environments where precision and dependability are paramount.We pride ourselves on our agility and maintain a high standard for clarity, accuracy, and code maintainability.About the Role:Join as an early engineer with significant equity opportunitiesThis is a full-time position located in San Francisco, CAEnjoy flexible working hoursReceive comprehensive health, vision, and dental coverage, with 100% of the premium coveredCollaborate closely with founders and early adoptersThrive in a high-ownership culture with rapid development cyclesWhat Makes You a Good Fit:Proficient in navigating the technology stack, from APIs and data layers to user interfaces and client-facing toolsExcellent communication skills and a confident approach to engaging directly with enterprise clientsAbility to distill complex, ambiguous problems into clear and effective solutionsStrong intuition for product design, user experience, and system architectureBonus Points:Familiarity with large language models (LLMs), retrieval systems, knowledge bases, or search technologiesExperience with enterprise software platforms (CRMs, ticketing systems, content management systems)Previous experience handling large or complex datasetsA solid understanding of AI technologies and their practical applications

Join tvScientific as a Senior Machine Learning Engineer and be at the forefront of developing and deploying innovative machine learning solutions that drive advertising efficiency. Your expertise will contribute to building cutting-edge algorithms and systems that enhance our clients' marketing strategies.In this role, you will collaborate with cross-functional teams to translate business requirements into technical specifications, and develop scalable models that leverage large datasets. Your passion for machine learning and data science will help shape the future of advertising technology.

As a Senior Engineering Manager specializing in Customer Experience Intelligence (CXI) at Databricks, you will lead a dynamic team of engineers in enhancing customer interactions through innovative data solutions. Your role will involve developing strategies that transform customer feedback into actionable insights, ultimately driving customer satisfaction and loyalty.

WHO WE ARE Zeta Global (NYSE: ZETA) is an innovative AI-Powered Marketing Cloud that utilizes cutting-edge artificial intelligence (AI) and vast consumer signals to streamline the process for marketers aiming to efficiently acquire, nurture, and retain customers. Our Zeta Marketing Platform (ZMP) embodies our vision of simplifying sophisticated marketing by consolidating identity, intelligence, and omnichannel activation into one cohesive platform—driven by one of the industry's largest proprietary databases and AI technology. Our enterprise clients, spanning diverse verticals, gain the ability to personalize customer interactions on an individual level across all channels, ultimately enhancing the effectiveness of their marketing initiatives. Established in 2007 by David A. Steinberg and John Sculley, Zeta Global is headquartered in New York City and has a global presence. To discover more, visit www.zetaglobal.com. The Role We are in search of a Senior Data Engineer to architect, develop, and manage the data pipelines and aggregates that fuel Zeta’s AdTech platform. This is a hands-on individual contributor position focused on high-scale batch and streaming data processing, delivering reliable data products and analytics-ready datasets that facilitate predictive analytics, agentic workflows, business intelligence reporting, and measurement. You will work in close collaboration with backend, machine learning, and product teams to provide trustworthy, well-structured data that exhibits exceptional performance, quality, and observability.

About Chalk Chalk is revolutionizing the data platform landscape, empowering the next generation of machine learning applications. By dismantling traditional barriers of complexity, latency, and scalability, we enhance the capabilities of ML. Our platform boasts Rust-speed performance combined with user-friendly tools that developers adore. Major corporations rely on Chalk for vital functions such as preventing fraudulent credit card transactions, identity verification, and optimizing clean energy utilization. Recently, we've raised a $50 million Series A round led by Felicis. About the Role In collaboration with our founders, you will spearhead a team of talented engineers dedicated to building our platform for real-time inference at scale. This position offers a unique chance to influence technical architecture and cultivate engineering culture in a rapidly-growing, early-stage company. You will work alongside exceptional individuals, including winners from Putnam and Advent of Code, former quants from Jane Street, and contributors to the Rust compiler—everyone committed to pushing the boundaries of what's achievable in ML inference. We maintain a fully in-office work environment, five days a week. While we embrace flexibility for unavoidable conflicts, this role does not support hybrid work arrangements. Your Responsibilities Lead a team of engineers focused on developing Chalk's data platform Collaborate with the founding team to define and implement our technical roadmap Establish engineering processes that promote high velocity while ensuring quality Engage directly with clients to understand their requirements and ensure that Chalk's platform effectively addresses real-world ML challenges Help shape Chalk's engineering culture as we expand—fostering top talent along the way Qualifications A minimum of 5 years of engineering experience, including at least 2 years in a leadership role Prior experience in an early-stage startup environment Proven track record in building production-level ML systems or data infrastructure Exceptional programming skills and a strong understanding of systems architecture Proven ability to lead technical teams Excellent communication skills capable of bridging technical and business contexts

About UsAt Workhelix, we are a pioneering tech-enabled services firm dedicated to maximizing organizations' artificial intelligence (AI) investments.Our unique blend of talent and advanced software empowers leaders to address three pivotal questions regarding the business value of AI:What are the prime opportunities to harness AI for value creation?Are our current AI initiatives yielding measurable results, and what is their return on investment (ROI)?How can we enhance and expedite the advantages derived from AI?To provide tailored solutions for our clients, Workhelix leverages deep expertise in economics, AI, and data science. We have developed a pioneering task-scoring methodology to pinpoint top GenAI opportunities, ensuring clear and actionable deployment strategies. Our ROI monitoring suite applies Nobel Prize-winning economic principles to deliver accurate, ongoing insights into the effectiveness of GenAI implementations. Our mission is supported by respected thinkers in AI and Economics, including Andrew Ng and our co-founders Andy McAfee and Erik Brynjolfsson.We foster a culture rooted in five core principles, which you can explore further on our careers page.Position OverviewAs a Forward-Deployed Software Engineer (FDSE) at Workhelix, you will collaborate directly with enterprise clients to tackle significant data and engineering challenges. Your role will involve integrating with client teams to comprehend legacy systems, extracting and transforming complex datasets, and developing scalable solutions that address the critical inquiries posed by business leaders.This is a technical-focused role where you will be tasked with writing production-ready code, constructing data pipelines, and interfacing with complex, real-world systems. Your contributions will be vital in our mission to deliver actionable insights, ensuring that our software operates seamlessly across varied enterprise environments.We seek engineers who possess substantial technical expertise—this is not an entry-level or rotational position. You will need to bring a solid foundation in software engineering and problem-solving.

About BuildkiteAt Buildkite, we strive to empower developers worldwide by reinventing software delivery. Our platform is designed to be fast, reliable, secure, and scalable, serving high-growth tech companies such as Airbnb, Canva, Shopify, PagerDuty, and Lyft.Job OverviewWe are seeking a Senior Community Engineer to cultivate the Buildkite community, leveraging customer trust and enthusiasm to foster technical distribution and establish credibility through authentic engagement. This role is a technical ambassador for Buildkite, representing us online, within the ecosystem, and in-person in the Bay Area. Your mission is to instill a profound sense of confidence in developers that Buildkite is not just a tool, but a serious, culturally unique solution crafted by builders for builders.Your responsibilities will include creating and delivering tangible prototypes, actively participating in key conversations with insightful contributions, transforming customer experiences into compelling narratives, and nurturing a sense of community belonging. Your success will be measured by the trust you build within the community. We are committed to maintaining high standards and will only consider candidates with a strong engineering background, deep familiarity with development tools, and a record of community engagement. What You’ll DoBe an Aspiring EngineerDeliver production-grade reference implementations that exemplify excellence with Buildkite.Develop and sustain tools and plugins that address real challenges and elevate the ecosystem.Maintain public artifacts with diligence: versioned, documented, tested, and cared for.Foster the Buildkite CommunityPresent the unique Buildkite perspective on CI, development workflows, reliability, craftsmanship, and future directions.Create engaging experiences that breathe life into Buildkite, including sandboxes, customer stories, impactful posts, insights backed by evidence, walkthroughs, behind-the-scenes builds, live demonstrations, and community rituals that resonate with developers.Consistently and visibly represent Buildkite; you are a vital part of our brand. Be comfortable being recognized, quoted, and occasionally corrected in public.

Contribute to a Safer World.TRM Labs specializes in blockchain analytics and AI solutions designed to assist law enforcement, national security agencies, financial institutions, and cryptocurrency businesses in detecting, investigating, and mitigating crypto-related fraud and financial crimes. Our blockchain intelligence and AI platforms offer advanced tools to trace funds, identify illicit activities, build comprehensive cases, and establish a clear understanding of potential threats. Trusted by top agencies and organizations worldwide, TRM is dedicated to fostering a safer and more secure environment for everyone.At TRM, your coding skills can genuinely make a difference. Our platform empowers governments, financial institutions, and cryptocurrency companies to detect and prevent various financial crimes, from terrorist financing to human trafficking. The Full-Stack Product Engineering team develops essential products and services that facilitate this mission, encompassing everything from customer-facing applications to foundational APIs and internal tools. We seek a motivated early-career engineer eager to make a significant impact by delivering real-world features.As a Product Engineer, you will collaborate with seasoned mentors, product managers, and designers to tackle complex challenges, write production-ready code, and create meaningful features. You will gain experience across the full stack, including React, Node.js, and Postgres, while being part of a dynamic team that is building the infrastructure of trust within the crypto economy.Your Impact:Develop and deploy full-stack features for TRM's core products and internal tools, benefiting from guidance and mentorship from senior engineers.Engage in cross-functional collaboration to clarify project requirements, pose insightful questions, and decompose complex problems into manageable tasks.Acquire skills in designing and developing APIs and services with a focus on scalability, performance, and maintainability.Produce clean, well-tested, and well-documented code that delivers tangible value to TRM's clients and stakeholders.Pursue continuous improvement through feedback, pair programming, and code reviews, demonstrating curiosity and a willingness to learn.Desired Qualifications:A Bachelor’s or Master’s degree in Computer Science or a closely related technical discipline (to be completed by Summer 2026).1–2 internships in software engineering, or equivalent experience gained through academic or personal projects.Familiarity with JavaScript/TypeScript and a passion for web development.

Join Us in Building a Safer WorldAt TRM Labs, we specialize in blockchain analytics and AI solutions designed to empower law enforcement, national security agencies, financial institutions, and cryptocurrency businesses in combating fraud and financial crime. Our innovative platforms harness blockchain intelligence and AI to trace financial flows, identify suspicious activities, and provide comprehensive threat assessments. Trusted by leading organizations globally, TRM is dedicated to creating a safer and more secure environment for all.Our AI Engineering Team focuses on pioneering next-generation AI applications, particularly in the realm of Large Language Models (LLMs) and agentic systems. Our goal is to develop resilient pipelines and high-performance infrastructures that facilitate the swift, safe, and scalable deployment of AI systems.We manage vast data pipelines, ensure rapid model serving, and maintain the observability and governance essential for making AI production-ready. Our team is actively engaged in evaluating and integrating state-of-the-art tools within the LLM and agent ecosystem, including open-source frameworks, vector databases, and orchestration tools that enhance TRM’s innovative capabilities.As a Staff MLOps Engineer concentrating on LLMOps, you will play a pivotal role in constructing and scaling the technical infrastructure for our AI/ML systems. Your responsibilities will include:Developing reusable CI/CD workflows for model training, evaluation, and deployment, incorporating tools like Langfuse, GitHub Actions, and experiment tracking.Automating model versioning, approval workflows, and compliance checks across various environments.Building modular and scalable AI infrastructure stacks, including vector databases, feature stores, model registries, and observability tools.Collaborating with engineering and data science teams to integrate AI models and agents into real-time applications and workflows.Continuously assessing and adopting cutting-edge AI tools (e.g., LangChain, LlamaIndex, vLLM, MLflow, BentoML).Enhancing AI reliability and governance to enable experimentation while ensuring compliance, security, and operational uptime.Improving AI/ML model performance, ensuring data accuracy, consistency, and reliability for superior model training and inference.Deploying infrastructure to support both offline and online evaluations of LLMs.

Founding Platform & Reliability Engineer About OpenArtOpenArt is a revolutionary AI-driven storytelling and visual creation platform utilized by millions around the globe. Our mission is to build the next generation of creative tools powered by advanced AI technology, allowing users to generate videos, visuals, characters, and narratives with speed and creativity never seen before. We envision a future where creativity is inherently AI-native, and we are at the forefront of this transformation. Why Join OpenArt?Be part of a small, dynamic team where senior engineers are responsible for significant systems, not just fragments.Contribute to large-scale projects, with your work impacting millions of users swiftly.Benefit from a founder-led engineering culture where both founders are technical and actively engaged in product and architectural decisions.Work on an AI-native product, crafting how state-of-the-art AI models translate into tangible user experiences.Experience high ownership with minimal bureaucracy, emphasizing judgment, clarity, and speed.Join us during a period of significant growth, with a 7-10X revenue increase over the past two years, and play a pivotal role in scaling the company to new heights. About the RoleWe are seeking a Founding Platform & Reliability Engineer to take charge of the design, scalability, and reliability of our entire infrastructure stack, from high-level architectural choices to hands-on implementation, observability, and cost management.This role is not suited for traditional operators or narrow DevOps specialists. You should be adept at navigating cloud infrastructure, distributed systems, backend services, and developer tools, making practical decisions that optimize product velocity, system reliability, and cost efficiency, particularly in a fast-paced AI-centric landscape.You will collaborate closely with the founders and product engineers to design and refine the platform that powers OpenArt, influencing key decisions like serverless versus containerized architecture, multi-provider AI reliability, and scaling systems for millions of users, while serving as a force multiplier for the entire engineering team. What You’ll DoEstablish and operationalize SLOs/SLIs across essential user journeys (generation, editing, payments/credits, uploads, etc.), utilizing them to guide prioritization (including error budgets).Lead the design and implementation of robust infrastructure solutions that effectively support OpenArt's rapid growth and evolving needs.