LLM Platform Engineer

Join Whatnot as an LLM Platform Engineer where you'll be at the forefront of developing and optimizing cutting-edge language models. In this role, you will collaborate with a dynamic team of engineers and data scientists to enhance our machine learning infrastructure and algorithms. Your contributions will directly impact the efficiency and effectiveness of our language understanding capabilities.

At Yutori, we are transforming the way individuals engage with the digital realm by developing AI agents capable of efficiently performing everyday online tasks. Our approach is to create a comprehensive, agent-first ecosystem, encompassing everything from training proprietary models to designing innovative generative product interfaces.To further this mission, we are seeking a skilled AI Engineer to join our pioneering team. Ideal candidates should possess strong technical expertise and a passion for crafting superhuman AI agents that can navigate the web autonomously.Our founders — Devi Parikh, Abhishek Das, and Dhruv Batra — bring a wealth of experience in AI research and product development, particularly in generative, multimodal, and embodied AI, honed during their time at Meta. Our team merges AI proficiency with a design-oriented approach to advance Yutori’s objectives.Yutori is proudly supported by a distinguished group of visionary investors, including Elad Gil, Sarah Guo, Jeff Dean, Fei-Fei Li, Amjad Masad, Guillermo Rauch, Akshay Kothari, Soleio, Oliver Cameron, Julien Chaumond, Logan Kilpatrick, Bryan McCann, Vladlen Koltun, Jamie Cuffe, Michele Catasta, and many others.

Role Overview Writer is looking for a Senior Product Marketing Manager focused on Platforms and Large Language Models (LLMs) to join the team in San Francisco, CA. This role shapes product marketing strategy, builds customer engagement, and strengthens Writer’s presence in the market. The position centers on developing messaging and positioning that connect with target audiences and clearly communicate product value. What You Will Do Partner with product management, sales, and other teams to create go-to-market strategies for platform and LLM products Develop messaging and positioning that highlight the strengths and differentiators of Writer’s offerings Use market research and customer insights to inform marketing campaigns and product launches Drive adoption and awareness of platform and LLM products through targeted campaigns What We Look For Experience in product marketing, especially with platforms or LLMs Ability to collaborate with cross-functional teams Strong understanding of market trends and customer needs Skilled at developing clear, compelling product messaging

Join gleanwork as a Machine Learning Engineer specializing in LLM evaluations and observability. In this role, you will be instrumental in developing cutting-edge machine learning systems that enhance our understanding and effectiveness of language learning models. You will collaborate with cross-functional teams to drive the integration of advanced analytics and machine learning solutions.

Join Us in Building a Safer World.At TRM Labs, we specialize in blockchain analytics and AI solutions aimed at assisting law enforcement, national security agencies, financial institutions, and cryptocurrency businesses in identifying, investigating, and preventing crypto-related fraud and financial crime. Our innovative platforms leverage blockchain intelligence and AI technology to trace funds, detect illicit activity, and construct comprehensive threat profiles. Trusted by leading organizations worldwide, TRM Labs is committed to enabling a safer and more secure environment for all.Our AI Engineering Team is dedicated to 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 infrastructure that facilitate the swift, safe, and scalable deployment of AI systems.We manage extensive petabyte-scale pipelines, ensuring model serving with millisecond latency while providing the necessary observability and governance to make AI production-ready. Our team actively evaluates and integrates leading-edge tools in the LLM and agent space, including open-source stacks, vector databases, evaluation frameworks, and orchestration tools to accelerate TRM’s innovation pace.As a Senior or Staff ML Systems Engineer – LLM, you will play a pivotal role in constructing and scaling our technical infrastructure for AI/ML systems. Your responsibilities will include:Creating reusable CI/CD workflows for model training, evaluation, and deployment, integrating tools such as Langfuse, GitHub Actions, and experiment tracking.Automating model versioning, approval processes, and compliance checks across various environments.Developing a modular and scalable AI infrastructure stack that encompasses vector databases, feature stores, model registries, and observability tools.Collaborating with engineering and data science teams to embed AI models and agents into real-time applications and workflows.Continuously assessing and incorporating state-of-the-art AI tools (e.g., LangChain, LlamaIndex, vLLM, MLflow, BentoML).Promoting AI reliability and governance while enabling experimentation, ensuring compliance, security, and continuous uptime.Enhancing AI/ML Model Performance and ensuring data accuracy and consistency, leading to improved model training and inference.Implementing infrastructure to facilitate both offline and online evaluation of LLMs and agents.

About UsAt Software Apps Inc., we are pioneering the field of natural-language computing with our flagship product, Sky, designed specifically for Mac users. Our team is driven by a shared commitment to innovation, collaboration, and excellence. To learn more about our mission and values, visit www.software.inc/jobs.The RoleWe are seeking a talented LLM Engineer to be a vital contributor to our product development. In this role, you will design and optimize our data pipelines, refine our system architecture, and implement evaluation mechanisms. Your expertise will guide strategic decisions, balancing ambition with practicality, while you manage the iterative process of fine-tuning, evaluation, and deployment.Your Daily Responsibilities Will Include......Innovating Exceptional Software. Your enthusiasm and insight will transform visionary concepts into actionable strategies, even if it sometimes means taking risks without a clear path ahead. Your capacity to learn and adapt is more crucial than existing knowledge....Taking Full Ownership of Projects. You will be the driving force behind the success of your systems and features, demonstrating a commitment to delivering results. Your proactive approach will ensure continual improvement through feedback and quality enhancements....Influencing Architectural Decisions. Leverage your familiarity with the latest model architectures to create robust systems for data collection, training, and inference. Your role will include optimizing model performance while carefully considering user privacy and effective data gathering....Thinking Both Broadly and Precisely. You recognize that your infrastructure choices significantly affect the end-user experience. With a focus on performance, you will develop large-scale models for cloud inference or finely tuned on-device models that prioritize efficiency.

Join Waymo as a Senior Machine Learning Engineer focusing on Perception LLM/VLM. In this role, you will leverage cutting-edge machine learning techniques to enhance our autonomous driving technology. You will collaborate with a talented team of engineers and researchers to develop algorithms that improve our perception systems, ensuring safety and efficiency on the road.

Embrace the Future of E-Commerce with Whatnot!Whatnot stands as the premier live shopping platform across North America and Europe, revolutionizing how people buy, sell, and discover their favorite items. Our mission is to reshape e-commerce by seamlessly merging community, shopping, and entertainment into a personalized experience for our users. Operating as a remote co-located 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.Our platform offers a diverse array of products, from fashion and beauty to electronics and collectibles, ensuring that everyone finds something they love during our live auctions.And this is just the beginning! As one of the fastest-growing marketplaces, we are in search of innovative, bold thinkers across all functions. Stay updated with our latest insights on our news and engineering blogs, and join us in empowering individuals to transform their passions into thriving businesses while uniting people through commerce. Your RoleWe are on the lookout for creators—intellectually curious and highly entrepreneurial engineers passionate about shaping the future of AI and ML at Whatnot. In this role, you will architect and scale the foundational infrastructure that supports large language model applications throughout the organization. Collaborating closely with machine learning scientists, you will implement cutting-edge models into production, enabling entirely new product experiences. This entails constructing systems that ensure AI is reliable and rapid at scale—from developing retrieval systems that effectively contextualize LLM responses within Whatnot’s business environment to devising scalable LLM evaluation frameworks and human-in-the-loop feedback mechanisms.Key Responsibilities:Oversee the infrastructure that powers LLMs across crucial business domains—enhancing growth, recommendations, trust and safety, fraud prevention, seller tools, and beyond.Develop robust and scalable LLM evaluation frameworks to assess model performance, guide iterations, and prevent regressions through CI/CD processes.Implement RAG systems and MCP servers to effectively ground LLM responses in Whatnot’s business context, while maintaining stringent PII controls.Design efficient human-in-the-loop feedback pipelines to inform scalable model improvements.

About Retell AI Retell AI builds voice AI technology that helps businesses transform their call center operations. In just 18 months, thousands of companies have adopted Retell’s AI voice agents to streamline sales, support, and logistics, work that once required large human teams. Backed by investors including Y Combinator and Alt Capital, Retell has grown annual recurring revenue from $5M to $36M with a focused team of 20. The company’s goal for 2026: a modern customer experience platform where AI powers entire contact centers. Retell is developing AI “workers” that can serve as frontline agents, quality assurance analysts, and managers, handling, evaluating, and improving customer interactions on their own. Named a top 50 AI app by a16z: https://tinyurl.com/5853dt2x Ranked #4 on Brex’s Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025 Featured on the Lean AI Leaderboard: https://leanaileaderboard.com/ Role Overview: Research Scientist – LLM Retell AI is hiring a Research Scientist focused on large language models (LLMs) and audio processing. This role suits machine learning researchers who want to push the boundaries of real-time AI and see their work in production. What You Will Do Investigate new approaches in large language models and audio processing for human-like voice agents Design and implement evaluation methods for complex, real-world conversational systems Prototype systems to improve reasoning, reduce latency, and enhance conversation quality Work closely with engineering and product teams to bring research advances into production Impact Research at Retell directly shapes the capabilities of voice AI agents for thousands of businesses. The work blends advanced research with practical deployment, improving how customers interact with automated systems across industries. Location This position is based in the San Francisco Bay Area.

Role overview The Platform Engineer at Coframe will help shape the core infrastructure that powers the company’s engineering efforts. Based in the SF Bay Area, this role involves designing and refining the systems that underpin how teams build, deploy, and manage software. Day-to-day work includes using AI tools to improve productivity and streamline deployment processes. The engineer will also focus on strengthening monitoring, enhancing security, and managing costs across the platform. Impact This position carries significant responsibility. The solutions developed will directly support all teams at Coframe, influencing how software is created and maintained across the company. The work done in this role will help set the direction for future engineering practices.

At Forge, we recognize that our team is our most valuable asset. As pioneers in the private market technology sector, we aim to create a brighter future for all. This vision is embodied in our core values of boldness, accountability, and humility. We witness the impact of our vision daily, supporting the teams behind the most remarkable innovations of our era, from space exploration to artificial intelligence, and beyond.With our liquidity solutions, exclusive insights, custody offerings, and a dynamic marketplace, Forge strives to establish a leading-edge technology infrastructure that empowers a transparent, accessible, and seamless global private market for companies, their employees, and investors. Through Forge, employees can liquidate their private shares, employers can reward shareholders with pre-IPO liquidity, and both individual and institutional investors can engage with the growth of private unicorns.Forge's unique global marketplace meets the increasing demand from individual and institutional investors seeking exposure to private company stocks, creating a significant network effect.Our ability to provide these impactful financial solutions has sparked tremendous interest from investors, heightened customer demand, and a pressing need to expand our team to cater to the evolving requirements of more companies, teams, and innovators.The Role:As part of Forge's platform engineering team, you will join a group dedicated to innovation, developing scalable, secure infrastructure solutions that drive liquidity and growth in the private market. Our teams utilize a wide array of technologies to support our core platform, Metal, and we thrive on swift execution, delivering value, and adhering to our values of being bold, humble, and accountable.We are in search of a dedicated platform engineer with a minimum of 7 years of experience in delivering robust, scalable, and secure infrastructure solutions that are easy to maintain. The ideal candidate excels in collaborative environments and is driven by the desire to foster success through effective communication, crafting exceptional developer experiences, and making informed, data-driven decisions.To excel as a Staff Platform Engineer at Forge, you will leverage your expertise in infrastructure and software to deliver high-quality platforms both independently and through technical leadership of others. You will tackle advanced infrastructure projects – ranging from multi-cluster orchestration to SOC 2 compliance automation – while also being an engaged and collaborative team member.Location: This role requires in-office attendance 2-3 days a week in San Francisco, CA.

Role overview ditto is seeking a Senior Platform Engineer, Operator for a fully remote role. This position is open to candidates located in Atlanta, Austin, San Francisco, or Seattle. The focus is on designing, building, and maintaining systems that keep company operations running smoothly and efficiently at scale. What you will do Design and implement systems that improve platform scalability, performance, and reliability. Maintain and enhance the existing infrastructure to support ongoing business operations. Work closely with cross-functional teams to address technical challenges and streamline processes. Use technical expertise and leadership to drive key platform initiatives. Requirements Extensive experience in platform engineering. Strong problem-solving abilities and a collaborative mindset. Proven ability to contribute technical insights and lead engineering projects. Location This is a remote position. Candidates must be based in Atlanta, Austin, San Francisco, or Seattle.

At Fastly, we empower individuals to maintain meaningful connections with the things they cherish. Our cutting-edge edge cloud platform allows customers to deliver exceptional digital experiences with speed, security, and reliability by processing and securing applications as close to end-users as possible — right at the edge of the Internet. Our platform is engineered to harness the potential of the modern internet, enabling programmability and supporting agile software development. We proudly serve some of the world's most influential companies, including GitHub, Yelp, Paramount, and JetBlue.Join us in building a more trustworthy Internet.Posting Open Date: Reposted March 30, 2026Anticipated Posting Close Date*: April 20, 2026*This job posting may close earlier due to high applicant volume. Senior Principal Engineer, Platform EngineeringAs a member of Fastly’s Platform Engineering team, you will be instrumental in establishing the essential frameworks that enable engineers to deliver quickly, safely, and at scale. In the role of Senior Principal Engineer, you will guide the technical direction and spearhead cross-organizational initiatives aimed at enhancing our platform, developer experience, and operational excellence. Collaborating closely with fellow engineers, you will work to eliminate friction, standardize best practices, and create paved roads to expedite product delivery. This is a highly collaborative and hands-on position, representing the Platform Engineering organization and reporting directly to the Senior Director of Engineering.

We appreciate your interest in joining the Uncountable Engineering team!About the RoleAt Uncountable, we are on a mission to revolutionize R&D by creating an AI-first ecosystem. Our cutting-edge tools are designed to empower scientists at Fortune 500 companies to enhance their discovery processes utilizing Generative AI.As an LLM Applications Engineer, you will play a pivotal role in shaping our LLM infrastructure. You will not only build user interfaces but also architect retrieval systems, agentic workflows, and data pipelines that connect intricate experimental data with actionable AI insights, significantly modernizing the data interaction for top-tier researchers.

Your Contribution at LilaAs a Machine Learning Research Scientist I/II specializing in LLM Inference, you will spearhead research initiatives focused on the training and deployment of large language models for scientific applications.Your ResponsibilitiesDevelop and refine post-training strategies for LLMs, including Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and Reinforcement Learning with verifiers.Design efficient inference mechanisms and compute strategies for complex tool utilization in various environments.Create scalable evaluation metrics to assess LLM performance in scientific reasoning tasks.Investigate the boundaries of cutting-edge LLM methodologies for scientific challenges and analyze their limitations.

ditto is hiring an Engineering Manager to lead the Platform team. This remote role is available to candidates based in Atlanta, Austin, San Francisco, or Seattle. The Platform team focuses on building and integrating solutions that support both user experience and the company’s operational needs. Role overview The Engineering Manager will oversee a group of engineers dedicated to platform systems. This position involves guiding the team’s technical direction and ensuring that platform solutions are both scalable and reliable. What you will do Lead and mentor engineers working on platform systems Guide the development of scalable, reliable solutions Work closely with cross-functional teams to align on project goals and deliverables Encourage continuous improvement and technical excellence within the team Ensure platform integrations operate smoothly and support business objectives Requirements Experience managing engineering teams Strong background in building scalable systems Skilled in project management and working across teams Comfortable working remotely and leading distributed teams Proven commitment to team growth and maintaining high standards

Bland Inc. seeks a Machine Learning Researcher specializing in Multimodal Large Language Models (LLMs) to join the team in San Francisco. The focus is on advancing AI systems that integrate language with other types of data. Role overview This position centers on research and development aimed at improving how AI models process and understand information from multiple sources, such as text combined with images or other modalities. What you will do Investigate how language interacts with additional data types within multimodal LLMs Create and evaluate new methods to enhance AI model performance Work closely with colleagues on projects designed to push the boundaries of machine learning Location This role is based in San Francisco.

About AnythingAnything is a pioneering AI product engineering company, empowering the next generation of entrepreneurs. Our innovative AI agent transforms English into fully functional applications, encapsulating everything needed to monetize online ventures, including mobile solutions, web interfaces, design, AI capabilities, backend services, infrastructure, and payment systems. Since our launch on August 7th, we have achieved $5 million in revenue and are rapidly expanding. Discover more at anything.com.Role OverviewWhat You Will DoWe are looking for individuals eager to accelerate their growth and make a significant impact. In this role, you will develop systems that support millions of applications and billions of users, addressing the challenges that arise in a high-demand environment. You will design and maintain the runtime, control plane, and isolation boundaries essential for safely executing user-generated applications at scale.Your innovative solutions will utilize platform telemetry, execution data, and feedback loops to enhance code generation and application performance, all powered by our AI-centric platform.You will take ownership of key components of the platform from architecture and implementation to operational production and iteration.Operational ResponsibilitiesDesign and manage multi-tenant cloud infrastructure, focusing on isolation, deployment, observability, and cost control for customer applications.Ensure top-tier reliability and performance for our platform.Conduct research to inform decisions regarding technology choices and service providers.Collaborate closely with product teams to develop platform features that drive product innovation.Stay informed about the latest advancements in infrastructure research and development.Successful platform management requires composure under pressure. We value self-assurance coupled with curiosity and a commitment to evidence-based decision-making.Key Performance MetricsYour effectiveness will be evaluated based on:1. Runtime InfrastructureDevelop and oversee scalable, low-latency infrastructure for user applications.2. Platform ReliabilityYou will ensure the platform's uptime and reliability, preventing failures from affecting multiple customers. Our users expect high availability and rapid issue resolution.3. Platform Support for Product FeaturesYou will create the platform features essential to support our product roadmap, ensuring seamless integration and performance.

Embrace the Future of Commerce with Whatnot!Whatnot is the premier live shopping platform across North America and Europe, where users can buy, sell, and uncover treasures they adore. We’re revolutionizing e-commerce by merging community, shopping, and entertainment into one immersive experience tailored for you. As part of a remote co-located team, our drive for innovation is grounded in our core values. With operational hubs in the US, UK, Germany, Ireland, and Poland, we’re collaboratively shaping the future of online marketplaces.From fashion and beauty to electronics and unique collectibles like trading cards and comic books, our live auctions cater to diverse interests.And we’re just getting started! As one of the fastest-growing marketplaces, we seek bold, forward-thinking problem solvers across all areas. Stay updated on Whatnot’s latest developments through our news and engineering blogs as we empower everyone to transform their passions into successful businesses and forge connections through commerce. Role OverviewAs a senior leader within our Infrastructure team, you will be instrumental in advancing Whatnot’s platform. You will lead the Platform Engineering team, collaborating with engineering, product, and operational teams to develop scalable, dependable, and high-performance systems that cater to millions of users as we continue to expand.Key Responsibilities:Guide and mentor a talented team of engineers through complex technical challenges, fostering their personal and professional growth.Create and execute strategic roadmaps for platform engineering that align with company goals, ensuring scalability and enhancing developer velocity.Prioritize enabling engineers to work efficiently and swiftly, utilizing our platform services effectively.Work collaboratively with cross-functional teams to shape product decisions, ensuring engineering solutions meet both business and technical requirements.Promote best practices in software engineering focused on minimizing technical debt, enhancing code quality, and continually evolving engineering practices.

About AnthropicAt Anthropic, we are dedicated to creating AI systems that are not only reliable and interpretable but also steerable. Our mission is to ensure that AI is both safe and beneficial for our users and society at large. Our quickly growing team comprises passionate researchers, engineers, policy experts, and business leaders who collaborate to construct beneficial AI systems.About the RoleWe are seeking talented software engineers to join our Platform organization, where we create foundational tools that enhance product development across Anthropic. You will take ownership of the infrastructure and systems that teams rely on to deliver products reliably and at scale, whether for internal stakeholders or for hundreds of thousands of external users and companies worldwide.This position is ideal for engineers who excel in tackling complex infrastructure challenges and designing systems that are reliable, scalable, and elegant. You will play a pivotal role in defining the performance quality standards for our company, supporting the next generation of LLM-first products, and transforming the developer experience into a best-in-class model.We have several teams actively hiring, and placements will be made post-interview based on your interests and experience, along with our organizational needs. This flexible approach allows us to align talented engineers with the projects where they can have the most significant impact and potential for growth.Platform Acceleration: Your work will focus on maximizing the productivity of our product engineers. You will design and optimize essential development infrastructure that drives our AI product development, including development environments, observability tools, and CI/CD pipelines. Working closely with product teams, you'll identify and eliminate friction points in their development workflows, thus significantly enhancing productivity across our entire product organization and accelerating our mission.Service Infrastructure: We maintain the core systems that underpin Anthropic's engineering efforts, from service mesh and observability systems to deployment pipelines and shared libraries. Our contributions enable product teams to build and operate reliable services at scale, making us a vital multiplier of effectiveness across the entire company.Multicloud: We create and maintain the infrastructure that allows Anthropic to operate seamlessly across multiple cloud providers, emphasizing cloud-agnostic tools, cross-cloud networking, and multi-region deployments.Authentication & Identity: We construct and uphold the critical infrastructure that supports identity management and authentication across Anthropic's platforms.