Senior Platform Engineer - AI Tooling & Infrastructure

Join the innovative team at Perplexity AI as an AI Infrastructure Engineer. We harness cutting-edge technologies, including Kubernetes, Slurm, Python, C++, and PyTorch, primarily within the AWS ecosystem. In this role, you will collaborate intimately with our Inference and Research teams to design, deploy, and enhance our extensive AI training and inference clusters.

At Coram AI, we are revolutionizing video security in today's digital landscape. Our innovative cloud-native platform leverages cutting-edge computer vision and artificial intelligence to empower businesses with enhanced safety, informed decision-making, and rapid response capabilities. Experience real-time alerts, effortless clip sharing, and comprehensive visibility across multiple sites.Joining our dynamic, agile team means embracing clarity, excellence, and impactful contributions. Every team member has a voice, delivers significant work, and plays a vital role in shaping how AI can foster a safer and more interconnected world.In this role, you will be part of a pioneering team responsible for managing a sophisticated infrastructure that transcends conventional cloud setups. Beyond our robust AWS and Kubernetes configurations, we also oversee a vast array of IoT devices. We are in search of a skilled engineer who will play a crucial role in developing and maintaining our edge and cloud stack that supports our IoT product offerings, focusing on both infrastructure and the bespoke software we utilize.You will tackle intriguing challenges at the confluence of user experience, machine learning, and infrastructure, while committing to excellence, continuous learning, and delivering exceptional products in a fast-paced startup environment.

Role overview Elliptic is hiring an AI Infrastructure Engineer in London, United Kingdom. This role focuses on building and supporting the technical foundation behind Elliptic's AI-driven financial technology products. What you will do Design and implement infrastructure for AI systems Maintain and improve the platforms that power Elliptic’s AI products Work with teams across the company to develop scalable, reliable solutions Monitor and optimize system performance to support product innovation

Join MUBI as a Senior Infrastructure EngineerMUBI is a renowned global streaming service, production company, and film distributor committed to celebrating exceptional cinema. Our mission is to create, curate, acquire, and promote visionary films that reach audiences worldwide. With passionate teams collaborating across cities like London, New York, Istanbul, Paris, Berlin, and Mexico, we strive to make great cinema accessible to everyone.We invite you to be part of our vibrant global team and contribute to our mission.Role OverviewThis is not your conventional DevOps or ML infrastructure role. As a Senior Infrastructure Engineer, you will build and deliver innovative software solutions, including internal tools, services, and automated processes that address real infrastructure challenges. Your work will encompass automated incident response, intelligent observability, and support ticket management. You will apply agentic patterns to navigate the complexities of operational environments instead of training models or managing GPUs.We are seeking a senior candidate who excels in system architecture, mentors fellow engineers, and leads by example. Your background should include hands-on experience in developing infrastructure applications and tools, demonstrating a willingness to explore new systems, take ownership of challenges, and drive solutions to fruition.Our infrastructure team adheres to SRE principles, focusing on building reliable, automated systems and minimizing operational toil. You will be responsible for developing and maintaining the platforms that empower our engineering teams to deploy, scale, and monitor their services. Your responsibilities will span from managing bare-metal CDN servers to Kubernetes clusters and AI-enhanced workflows.Join us in a small team with high autonomy and direct impact, working in a hybrid model (2-3 days a week in London), with remote work options available for exceptional candidates outside the city.

Intercom builds AI-powered customer service tools for businesses around the world. Our flagship AI agent, Fin, helps companies deliver 24/7 support and handle complex questions that sometimes require a human touch. Integrated with our Helpdesk, Fin forms part of the Intercom Customer Service Suite, which supports nearly 30,000 businesses globally. Founded in 2011, Intercom continues to set new standards for customer service by moving quickly, pushing boundaries, and delivering real value to clients. Role Overview The AI Infrastructure team at Intercom is looking for Senior AI Infrastructure Engineers in London. This group develops and maintains the systems that train and serve the next generation of Intercom’s AI models. The team’s work ranges from optimizing GPU architecture to building user-facing agents that handle millions of support requests each month. Engineers here design the training pipelines and manage inference for custom models like Fin Apex, which leads the industry in customer service performance. The team operates at the core of Intercom’s AI efforts. What You Will Do Design and scale training pipelines for large transformer and LLM models, including data ingestion, preprocessing, distributed training, and evaluation. Develop and improve inference services to deliver low-latency, reliable user experiences, covering autoscaling, routing, and fallback strategies. Optimize GPU-level performance by tuning kernels, improving utilization, and identifying bottlenecks in training and inference systems. Work closely with ML scientists to deploy advanced training and inference techniques. What We’re Looking For Hands-on experience with model training or model inference at scale, or low-level GPU programming (such as CUDA or Triton). Experience in more than one of these areas is especially valued.

Intercom builds AI-powered customer service products for businesses worldwide. Nearly 30,000 companies use Intercom’s solutions to deliver support and improve customer engagement. The company’s AI agent, Fin, provides around-the-clock customer service and integrates with Intercom’s Helpdesk as part of the broader Customer Service Suite. For complex or sensitive queries, the suite enables seamless handoff to human agents. Role overview The AI Models Infrastructure Team sits within Intercom’s AI Group and develops the core systems for training and deploying proprietary AI models. As Engineering Manager for this team, lead a group of engineers focused on building and maintaining the technical foundation that powers Intercom’s AI capabilities. What you will do Guide and support a team of engineers working on AI infrastructure projects Oversee the design, development, and operation of systems for training and deploying AI models Stay current with advances in AI and infrastructure, applying new knowledge to team projects Foster technical growth and collaboration in a fast-evolving field What you bring Previous experience in AI or machine learning engineering Background in building and operating technical infrastructure Strong interest in deepening technical expertise Experience leading or mentoring engineers Location This position is based in London, England. Learn more About Intercom’s engineering culture: intercom.engineering About Fin: fin.ai

Role overview The Presales Engineer - AI Cloud Infrastructure position at NexGen Cloud is based in London, UK, with a hybrid work arrangement. This role sits within the Sales department and reports to Sales Leadership for Hyperstack, the company’s AI cloud platform. What you will do This role connects prospective clients, the sales team, and internal engineering as NexGen Cloud’s technical offerings become more advanced. The focus is on supporting the commercial pipeline by guiding customers through technical decisions and shaping solutions that fit their needs. Lead technical discovery sessions to understand what customers require Design AI cloud solutions tailored to each client’s goals Facilitate in-depth technical conversations with customers and internal teams Ensure solutions are delivered with accuracy and meet client expectations About NexGen Cloud NexGen Cloud powers Hyperstack, an AI cloud platform used by clients ranging from AI researchers to large enterprises with demanding computational workloads. The company provides on-demand and private GPU infrastructure, focusing on high-performance solutions where speed and reliability matter most. The team values close collaboration and works at the forefront of AI cloud technology. Employees across NexGen Cloud use AI tools to solve technical challenges, deliver solutions quickly, and set new standards for enterprise GPU infrastructure.

Join us at Solve Intelligence, where we are pioneering AI-driven infrastructure for the global Intellectual Property sector. We are seeking a talented Infrastructure Engineer to develop the secure and scalable systems that drive our innovative solutions. Your Role: As an Infrastructure Engineer, you will collaborate with a highly skilled engineering team in London. Your focus will go beyond server management; you will architect multi-region, high-performance systems capable of processing complex AI tasks.Key Responsibilities:Cloud Architecture: Design, implement, and optimize our AWS infrastructure using Terraform for maximum reliability, cost-effectiveness, and scalability.Global Deployment: Create infrastructure patterns to support multi-region deployments and isolated environments tailored for enterprise clients.Developer Efficiency: Build and maintain CI/CD pipelines (using GitHub Actions and Docker) that enable our team to deliver features swiftly and securely.Monitoring & Reliability: Implement observability practices using OpenTelemetry and Datadog to proactively identify and resolve issues before they affect users.AI Performance Optimization: Fine-tune autoscaling and network routing to efficiently handle resource-heavy LLM workloads with minimal latency. About Solve Intelligence: We are a rapidly growing startup reinventing the IP industry.Growth: Achieving 20-30% month-over-month revenue increases; currently serving over 200 global IP teams, including DLA Piper and various tech companies.Impact: Our users experience efficiency improvements of 50-90% through our AI solutions.Funding: Recently highlighted in Sifted, following our $40M Series B funding round, bringing our total investment to $55M from prestigious investors like Y Combinator, 20VC, and others. Your Team: Work alongside a founding group of AI PhDs and top-tier systems engineers.

About Our TeamJoin the Applications Engineering team, a dynamic group that collaborates across research, engineering, product management, and design to deliver cutting-edge AI solutions for consumers and businesses alike.As a member of our team, you will play a vital role in managing the essential infrastructure that underpins products like ChatGPT and our API. This encompasses our Kubernetes clusters, infrastructure deployment, networking architecture, cloud abstractions, and much more.We are committed to learning from our deployments and spreading the advantages of AI while ensuring its responsible and safe application. For us, safety takes precedence over unrestricted growth.Role OverviewOur cloud infrastructure team is dedicated to constructing and sustaining infrastructure abstractions that empower OpenAI to deliver products efficiently and at scale.Key Responsibilities:Design and develop robust development and production platforms that ensure reliability and security at scale.Guarantee that our infrastructure is poised to scale for future demands.Foster a diverse, equitable, and inclusive environment that encourages openness, welcome, and the challenging of conventional thinking.Participate in the overall responsibility for system reliability, including an on-call rotation for critical incidents.Ideal Candidate Profile:5+ years of experience in building core infrastructure systems.Skilled in operating orchestration systems, particularly Kubernetes, on a large scale.Experience in creating abstractions over various cloud platforms.Pride in developing and managing scalable, reliable, and secure systems.Comfortable navigating ambiguity and adapting to rapid changes.About OpenAIOpenAI is a pioneering AI research and deployment organization committed to ensuring that general-purpose artificial intelligence serves the greater good of humanity. We continuously push the boundaries of AI capabilities and are focused on the safe deployment of these technologies through our innovative products. Our mission is to prioritize safety and human needs while embracing diverse perspectives, ensuring that our AI tools are developed responsibly.

Join Aircall, a rapidly growing unicorn and AI-driven customer communications platform utilized by over 22,000 companies globally. Our innovative approach integrates voice, SMS, WhatsApp, and AI into a cohesive workspace, revolutionizing customer interactions.At Aircall, our mission is simple: empower teams to work smarter, not harder. Our AI capabilities, including the AI Voice Agent for automating routine calls and AI Assist for streamlining post-call tasks, ensure that our customers achieve increased revenue and quicker resolutions.With headquarters in Paris and a strong presence across North America, including Seattle, we boast teams in major cities such as London, Madrid, Berlin, San Francisco, New York City, Sydney, and Mexico City. Supported by top-tier investors, we are pushing the boundaries of AI innovation across our product lines and are committed to scaling effectively.Our Work Culture: At Aircall, we prioritize customer obsession, data-driven decision-making, and impactful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative and dynamic environment where trust and impact are paramount, you'll fit right in.About the Position: We are on the lookout for a Database Engineer with a platform-oriented mindset to be part of our Infrastructure department. This role transcends conventional database management; you will be a force multiplier, focusing on reliability and scalability.Your primary goal will be to translate your extensive database knowledge into intuitive tools, modules, and platforms that simplify database management and observability for our product engineers. You will help create the “Golden Paths” that enable developers to efficiently set up, scale, and monitor databases autonomously.

About Our Team:Join the ChatGPT Infrastructure team, where we are at the forefront of powering one of the fastest-growing consumer products globally. Our mission is to build, scale, and operate the infrastructure that facilitates rapid experimentation, dependable deployment, and the global delivery of AI-driven experiences. As we grow our international presence, we are committed to establishing a leadership role in London that will shape our expanding office and foster collaboration among OpenAI's worldwide teams.About the Position:We are seeking a seasoned Engineering Manager to spearhead the ChatGPT Infra team from our London office. In this pivotal role, you will serve as both a technical leader and the site lead for our London engineering hub. You will be responsible for nurturing and mentoring a world-class infrastructure team, enhancing the scalability of ChatGPT infrastructure, and cultivating a strong, inclusive engineering culture at our growing international location.Your responsibilities will include:Leading a team of infrastructure engineers focused on ensuring availability, scalability, and performance for ChatGPT.Collaborating closely with product and research teams to deliver a seamless and robust experience to millions of users.Defining and driving technical strategy for key components such as deployment pipelines, service mesh, observability, and CI/CD systems.Partnering with recruiting to expand the London engineering team and representing OpenAI within the local tech community.Acting as a cultural ambassador and people manager, facilitating cross-functional collaboration and site operations.Operating with a high degree of autonomy and ownership, supported by global leaders and peers.

About H Company H Company pursues advances in superintelligence with a focus on agentic AI. The team works to automate complex, multi-step tasks that typically require human involvement, aiming to expand what people can achieve. H Company values curiosity, responsibility, and a commitment to safety in AI. The culture emphasizes openness, ongoing learning, and collaboration, with each person’s input recognized and appreciated. Infrastructure Team Overview The Infrastructure team provides researchers and engineers with the resources they need to do their best work. This group maintains the core infrastructure behind H’s public services, building systems that are reliable, scalable, and ready for growth. Team members shape everything from foundational models to agent systems and public-facing services.

Join Isomorphic Labs, where we are harnessing cutting-edge AI to drive revolutionary scientific discoveries, accelerate breakthroughs, and develop transformative medicines, with the ultimate goal of tackling all diseases.We envision a future powered by the remarkable capabilities of machine learning—one where drug discovery is not only improved but revolutionized.Be a vital part of our dynamic interdisciplinary team, dedicated to pioneering innovations and playing a significant role in our ambitious mission, all while thriving within a culture that inspires collaboration and creativity.The future we aspire to is being shaped today, starting with our company culture and each one of us.About Isomorphic LabsFounded in 2021, Isomorphic Labs is committed to enhancing human health through advanced AI technologies, building on the Nobel-winning AlphaFold system. Our diverse team of drug discovery professionals and machine learning experts has developed powerful predictive and generative AI models that expedite scientific discovery at an unprecedented pace.Our name embodies our belief in the intrinsic symmetry between biology and information science. By leveraging AI’s robust capabilities, we model intricate biological phenomena to design innovative molecules, predict drug performance, and create groundbreaking treatments for some of the world’s most pressing health challenges.We have established a leading drug design engine featuring AI models adept at working across various therapeutic areas and drug modalities. Our commitment to continuous innovation in model architecture and the development of advanced capabilities propels the future of rational drug design.With each breakthrough, we are inching closer to the realization of digital biology and our ambitious mission to ultimately conquer all diseases with the power of AI.

Join Aircall, a leading unicorn in the realm of AI-driven customer communications. Serving over 22,000 businesses globally, we are revolutionizing how customer interactions occur by integrating voice, SMS, WhatsApp, and AI into a unified workspace.Our approach is simple yet profound: we empower teams to work smarter. With innovations like our AI Voice Agent automating routine calls, AI Assist making post-call tasks efficient, and AI Assist Pro offering real-time support, we are driving higher revenues and enabling faster resolutions, allowing teams to scale confidently.Based in Paris, our European headquarters, we also have a strong presence in North America with our Seattle office, alongside teams located in Madrid, Berlin, San Francisco, New York City, Sydney, and Mexico City. Our product is beloved by customers and our business is rapidly expanding, supported by top-tier investors and propelled by swift AI advancements.At Aircall, you will be part of a dynamic, ambitious, and product-focused organization. We prioritize rapid decision-making, tangible results, and real growth, fostering a culture where every team member can make a significant impact.Our Work Culture: We are deeply customer-focused, data-oriented, and committed to achieving meaningful results. Emphasis is placed on ownership, continuous learning, and thoughtful execution. If you thrive in a collaborative and fast-paced environment where trust and impact are paramount, you will find your place with us.As an Infrastructure Engineer, your primary responsibility will be the management and operation of our AWS Cloud Infrastructure. Collaboration with peers and business teams is essential, and having hands-on experience with AWS is a prerequisite.

About Anaplan Anaplan builds AI-powered scenario planning and analysis tools that help businesses make smarter decisions. Over 2,400 organizations worldwide, including Fortune 50 leaders like Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer, rely on Anaplan’s platform to stay competitive. Our teams share a strong commitment to client success and a culture that values innovation, diverse perspectives, and celebrating achievements at every level. We focus on strategic goals, value-driven work, and disciplined execution, creating space for growth, recognition, and connection. Role Overview: Principal Infrastructure Engineer Anaplan is hiring a Principal Infrastructure Engineer to lead the design and deployment of a multi-region HashiCorp Vault platform. This role serves as the Subject Matter Expert for secrets management and governance, supporting hundreds of engineers and global clients. This is a hybrid role based in London, with at least two days per week in the office. What You Will Do Architect, design, and implement a new multi-region HashiCorp Vault platform on public cloud infrastructure. Own the solution architecture, maintaining high-quality design documents and Architecture Decision Records (ADRs). Develop and test strategies to ensure platform resilience, including performance, Disaster Recovery (DR), and High Availability (HA). Act as the primary SME for Vault and modern secrets management, promoting best practices across the organization. Work closely with stakeholders, platform teams, and software engineers to integrate their services securely with the Vault ecosystem. Partner with Security to define and meet control requirements for the Vault platform, covering policy standards, privileged access, audit/evidence, and compliance needs. Lead regular security discussions and maintain a proactive security posture within the company.

Palantir Technologies is seeking an Edge Infrastructure Engineer in London to help develop and refine infrastructure solutions. This position involves working closely with teams from different disciplines to support the integration and performance of Palantir’s systems. Role overview This role focuses on building and optimizing infrastructure that supports Palantir’s products at the edge. Collaboration with engineers and other specialists is central to ensuring systems work together smoothly and deliver reliable results. Key responsibilities Develop and improve infrastructure solutions for edge environments Work with cross-functional teams to integrate new technologies and features Monitor and enhance system performance and reliability Location This position is based in London, United Kingdom.

Intercom builds tools that help businesses deliver better customer service, powered by artificial intelligence. Nearly 30,000 companies worldwide use Intercom’s products, including Fin, an AI customer service agent that works seamlessly with the Intercom Helpdesk as part of the Customer Service Suite. Since 2011, Intercom has focused on innovation and delivering value for clients. Role overview The AI Models Infrastructure Team within Intercom’s AI Group develops and maintains the core infrastructure that supports the company’s proprietary AI models. Intercom is hiring an Engineering Manager to lead this team. This is a technical leadership position working at the intersection of infrastructure and artificial intelligence. What you will do Guide a team of engineers building and operating the infrastructure for Intercom’s AI models Work closely with other teams to ensure the reliability and scalability of AI systems Support ongoing technical growth within the team and stay current with advances in AI Who we’re looking for Experience managing technical teams, ideally in AI or related fields Strong background in infrastructure or platform engineering Commitment to continuous technical development Locations Berlin, Germany Dublin, Ireland London, England Learn more About engineering at Intercom: https://intercom.engineering About Fin: http://fin.ai

Join Anthropic as a Software Engineer within our Safeguards Infrastructure team, where you'll play a vital role in developing systems that ensure the safety and ethical use of AI technologies. In this position, you'll be responsible for creating and maintaining robust mechanisms that monitor AI models, prevent misuse, and prioritize user well-being. Your work will include designing infrastructure for data management and evaluation, as well as advancing multi-layered defenses that enhance our safety protocols at scale.

About the PositionWe are excited to invite applications for the role of Windows Infrastructure Engineer at Jane Street. As a key player in our IT Engineering group, you will be responsible for maintaining and optimizing our internal Windows infrastructure. We welcome candidates who possess substantial expertise in infrastructure management, application support, automation, and Windows operating systems.Windows is the backbone of our desktop environment, and our essential infrastructure services rely heavily on Windows servers. Ensuring these systems operate seamlessly is vital for our business's performance and reliability.In this role, you will focus on enhancing, automating, and standardizing our Windows environment. Proficiency in scripting or programming languages, particularly PowerShell, Python, or C#, is highly desirable. Our scripts are systematically organized in a centralized repository, allowing for efficient collaboration and usage across various teams.As part of a global team, you will collaborate with colleagues both locally and internationally to develop innovative solutions, identify and resolve issues, plan and execute deployments, and document your findings.This position is situated within our dedicated IT Engineering team, which monitors and manages a Windows environment across a diverse global landscape. Your analytical skills and technical knowledge will be instrumental in supporting our colleagues' daily operations and maintaining our systems at peak performance.