Engineering Manager, AI Models Infrastructure

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

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 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

About OLIXAt OLIX, we are at the forefront of an AI revolution, addressing the rapid growth and demand that has outpaced current infrastructure capabilities. The existing hardware frameworks are reaching their limits, and we are innovating a new paradigm to redefine efficiency and performance in computing. Our groundbreaking Optical Tensor Processing Unit (OTPU) sets a new standard for energy efficiency and performance, positioning OLIX to become a leader in the technology of the future.The Role:As the Engineering Manager for Performance Modelling, you will spearhead a dynamic team of six engineers focused on the architecture specifications of the OTPU. Your role involves validating these specifications through rigorous performance modelling techniques including roofline, functional, cycle-accurate, and power modelling. Collaborating closely with compiler, ASIC, product, and business development teams, you will ensure that architectural decisions align with customer needs and business objectives.We seek a seasoned engineering manager who can inspire a talented team to achieve impactful results for our clients and the business. Your deep technical expertise and proven ability to foster a collaborative and high-performing team culture will be crucial to navigating the complexities of hardware/software co-design.

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.

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 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.

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.

About OLIXAt OLIX, we are at the forefront of a technological revolution. With artificial intelligence evolving at an unprecedented pace, the demand for advanced infrastructure is soaring, creating a significant gap in the market. Current hardware approaches are outdated and unable to meet this demand. OLIX is pioneering a new paradigm with our Optical Tensor Processing Unit (OTPU), which promises unmatched performance and energy efficiency, setting the stage for the next great economic opportunity in the coming century.The RoleWe are looking for a passionate and skilled Staff Performance Modelling Engineer to take charge of creating and refining analytical and simulation models that will guide the evolution of our OTPU architecture and software. You will be responsible for developing functional simulators and high-fidelity, cycle-accurate models of our optical computing system. This pivotal role will allow you to explore diverse design possibilities and provide insights that shape our software and hardware roadmaps. If you thrive in a data-driven environment and enjoy rapid iteration, this position is designed for you.ResponsibilitiesOwnership: Define and execute the technical vision and roadmap for your team, aligning with OLIX's strategic technical and business objectives.Collaboration: Work closely with engineering teams to refine our system architecture and ensure that models are accurate and aligned with performance targets.Champion Modelling: Advocate for modelling methodologies and foster a culture of data-driven design across the organization.Functional Simulator: Design, build, and maintain a functional simulator for the OPTU subsystem and its full processing pipeline.Performance Simulator: Develop and maintain architectural and cycle-accurate models of the OPTU subsystems, identifying performance bottlenecks and proposing solutions.Workload Analysis & Bottleneck Hunting: Instrument various workloads to gather detailed performance traces for analysis.Design-Space Exploration: Conduct extensive parameter sweeps to evaluate trade-offs and inform decisions regarding software, hardware, and optical technologies.

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.

Join Us at ConveoAt Conveo, we are pioneering an AI research platform that facilitates rapid, cost-effective, and high-quality consumer and B2B research. Our innovative AI video interviewer is trusted by global brands such as Unilever, Google, and Orange, empowering insights across marketing and product teams.Why This Role MattersTraditional research methods are often slow, costly, and lack depth. They require specialized expertise, which can be a barrier for many organizations. By addressing these challenges, we enhance how companies comprehend and serve their customers.Your Future TeamYou will be part of an exceptionally skilled and passionate team dedicated to pushing boundaries while enjoying our work. Our collective experience spans decades in market research, engineering excellence, and entrepreneurship.Our Work CultureWe prioritize our clients and the solutions we offer, consistently going above and beyond.Our engineering team collaborates directly with customers, fostering open communication.We balance hard work with fun, creating an energetic atmosphere.To maintain our high standards, we strive for a lean but effective team.About the RoleThis position transcends a traditional infrastructure role; we seek an individual who is adept at strengthening Kubernetes clusters, contributing to product features, and developing internal tools that enhance our product and engineering capabilities. As a Senior Platform Engineer, you will own the infrastructure and deployment platform that powers Conveo's AI research product while influencing the engineering approach. You will establish AI toolchains, workflows, and safeguards that allow our engineers to operate efficiently with automation and AI.This is a critical role with significant impact. You will build upon existing foundations and elevate how Conveo builds, deploys, and manages our systems at scale. As we expand from 8 to over 18 engineers this year, you will ensure our infrastructure evolves in tandem with our growth and customer needs.

aisi seeks a Research Engineer or Research Scientist to focus on Model Transparency in London, UK. The position involves research aimed at making AI models more understandable and accountable. The goal is to clarify complex behaviors within these systems and help build trust in their outcomes. Key responsibilities Research new ways to improve the interpretability of AI models Create methods and tools that help explain how models make decisions Tackle challenges in understanding and communicating model behavior Contribute to initiatives that support greater accountability in AI Location This role is based in London, UK.

Role overview NexGen Cloud seeks a Business Development Manager to focus on AI cloud and infrastructure solutions. This hybrid role is based in London, UK, with in-office work required from Tuesday through Thursday each week. What you will do Identify and secure new customers in the AI cloud and infrastructure market Develop and manage a sales pipeline, targeting the growing demand for GPU cloud services Pursue high-potential accounts, working alongside an experienced team and leveraging advanced technology Requirements Demonstrated success in business development or sales, preferably in cloud, infrastructure, or AI sectors Ability to work independently and take initiative to achieve goals Interest in contributing to a rapidly growing market and seeing direct results from your efforts Adaptability in environments where priorities may shift quickly Location and schedule This position is based in London, UK. The hybrid schedule requires in-office presence on Tuesday, Wednesday, and Thursday.

Location: LondonCompany: H About H H is focused on building agentic AI that automates complex, multi-step tasks typically handled by people. The company’s goal is to help individuals achieve more by creating superintelligent systems that work safely and responsibly. H values openness, continuous learning, and collaboration. Every team member’s input matters here. About the Models Team The Models team develops the core models that power H’s agentic AI technology. This group works on training methods to boost model performance and efficiency, especially for agent-driven applications where inference costs matter. Projects span Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to interpret and interact with complex environments. Team members refine these models using advanced training approaches, including reinforcement learning and reward modeling. The focus is on better instruction following, tool use, and dynamic interaction. The team’s work bridges research and product, turning new research into practical solutions that move AI forward. Who Hires Here H seeks exceptional AI researchers and engineers from around the world who care about advancing technology safely and responsibly. The company welcomes those eager to shape the future of superintelligent AI alongside a collaborative and driven team.

Engineering Manager - Infrastructure & EdgeAt Deliveroo, we are on a mission to revolutionize how people dine and shop, driven by our commitment to impact, innovation, and growth. Our Engineering teams take on intricate technical challenges within a global, multi-faceted marketplace, creating and expanding systems that cater to millions of customers, riders, and partners daily.From real-time logistics to robust infrastructure and marketplace optimization, we develop and manage technology that fuels Deliveroo's expansive growth.We are seeking an Engineering Manager (Infra/Edge) to join our London team (hybrid, 3 days in the office). In this pivotal role, you will lead the team responsible for the production-grade infrastructure that supports our global operations, ensuring optimal performance and security of our international traffic.Discover more about our Engineering team — what motivates us, our work culture, and what you can expect from us.Your ResponsibilitiesAs a key member of the Edge team within Foundations, you will enhance the performance, reliability, and security of our north/south traffic at the interface between our global systems and the external environment.Your daily tasks may include:Lead Technical Strategy: Take charge of evolving the company’s Edge strategy, which encompasses CDNs (Cloudflare/Fastly), traffic management, and security protocols such as WAFs and DDoS mitigation.Drive Delivery: Establish priorities and decompose complex projects into manageable deliverables, ensuring timely and high-quality execution for critical systems.Mentor & Develop: Oversee and coach engineers at various levels, fostering an environment of psychological safety, trust, and structured career advancement.Ensure Operational Excellence: Define standards for SLOs/SLAs, monitoring, and non-intrusive alerting while leading incident responses and long-term preventative measures.Collaborate Globally: Work closely with Staff+ Engineers and leaders from DoorDash and Wolt to align on architectural design, reliability benchmarks, and global traffic routing.What You’ll Need to SucceedWe are looking for a candidate with strong expertise in some of the following areas, along with a desire to grow in others:Technical Leadership: Proven experience in managing technical teams and projects.Cloud Infrastructure: Familiarity with cloud services and infrastructure management.Security Practices: Understanding of network security principles and practices.Collaboration Skills: Ability to work effectively with diverse teams across various locations.

Forward Deployed AI EngineerThe OpportunityWe are searching for a skilled Forward Deployed AI Engineer who will act as a vital link between Latent Labs’ cutting-edge generative models and our pharmaceutical and biotech clients. In this role, you will engage directly with customers to implement, integrate, and enhance our technology within their scientific processes. This is a highly specialized, customer-facing position that merges deep technical acumen with a commitment to solving real-world challenges in drug discovery and protein engineering.Your responsibilities will include collaborating closely with clients to understand their distinct technical environments, ensuring our generative biology platform integrates smoothly with their existing systems. You will oversee the entire customer deployment lifecycle—from initial technical scoping to delivering production-grade solutions—while serving as the advocate for customer needs within our product and research teams.About UsAt Latent Labs, we are pioneering advanced models that comprehend the intricacies of biology. We embrace ambitious objectives driven by curiosity and are dedicated to achieving scientific excellence. Our team has previously co-developed DeepMind’s award-winning AlphaFold, innovated latent diffusion techniques, and created groundbreaking lab data management systems and high-throughput protein screening platforms. By joining Latent Labs, you will collaborate with some of the brightest talents in generative AI and biology.We value interdisciplinary collaboration, continuous learning, and teamwork, with team retreats fostering a culture of trust across our London and San Francisco offices.We are looking for innovators who are passionate about addressing complex challenges and making a positive global impact. Embark on this exciting journey with us!

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.