Applied AI Engineer - Europe

Pleo creates tools that simplify business spending for finance teams and employees. With over 40,000 customers and a diverse team of more than 850 people from 100+ nationalities, the company continues to grow and refine how organizations manage expenses. Curiosity about customer needs, a drive to untangle complexity, and high standards shape the way work gets done at Pleo. Role overview The Staff Applied AI Engineer will play a key part in building the next wave of AI-powered features at Pleo. This position focuses on using rich spend data to deliver meaningful product improvements. Collaboration is central: expect to work closely with software engineers, data engineers, and data scientists to move prototypes into production and create real value for customers. Team structure and collaboration This role is part of the data team, which includes a Staff Data Platform Engineer and a Staff Data Scientist. Each member brings specialized expertise. The Staff Applied AI Engineer’s primary responsibility is applied AI engineering and contextual data analysis. The position reports to the Director of Data Product and works with multiple product squads to help shape and launch AI-driven features across Pleo. What you will do Partner with product engineers and data experts to design and build AI-driven products, including spend intelligence tools, automated processes, and agentic workflows. Work with cross-functional teams to integrate AI capabilities into new and existing products, aiming for smooth adoption and practical value.

About Pleo Pleo builds tools that help finance teams and employees manage business spending with less friction. For over ten years, the company has focused on solutions that move beyond traditional spend management, aiming to make financial processes simpler and more effective. Today, more than 40,000 customers use Pleo’s products to manage their finances. With a team of over 850 professionals representing more than 100 nationalities, Pleo values diverse perspectives and collaborative problem-solving. The company’s culture encourages curiosity, respect, and a willingness to tackle challenges together, even when not all the answers are clear from the start. Role Overview: Analytics Engineer (Mid-Level) This Analytics Engineer role sits within the Critical Data Products (CDP) team in London. The CDP team is responsible for building and improving high-quality data solutions that support Pleo’s data-driven products and operations. The focus of this position is to design, develop, and optimize data models, semantic layers, and data structures that power business-critical data pipelines. Success in this role means translating complex requirements into scalable, maintainable models that support decision-making throughout the organization. Candidates who enjoy simplifying complexity and working in a product-oriented, data-centric environment will find this role a strong fit. Team and Collaboration The Analytics Engineer will report to the Manager of the CDP team, which operates within the Product Hub of the Data department. The CDP team brings together specialists in Data Analytics, Data Engineering, and Analytics Engineering. Together, they deliver essential data pipelines, dashboards, reports, and strategic insights for teams across Pleo, including KYC/Compliance, Financial Crime, Credit, Banking Infrastructure, Regulatory Reporting, and multiple product groups. In addition to technical delivery, the team provides data enablement guidance and supports a wide range of initiatives that help drive Pleo’s business forward. Application Details Application deadline: Wednesday, April 29, 09:00 BST. Applications will not be reviewed before this date to ensure fairness for all candidates. Take the time needed to thoughtfully complete your application.

About Pleo Pleo simplifies spend management for finance teams and employees. The company’s products help businesses move beyond traditional processes, making financial management easier and more effective. Over the past ten years, Pleo has supported more than 40,000 customers. The team includes over 850 people representing more than 100 nationalities, all focused on building a seamless future for business spending. Role Overview: Strategic Programme Manager The Strategic Programme Manager will join the Go-To-Market (GTM) Strategy & Programs team. This role centers on leading major initiatives that connect strategy, data, operations, and technology to strengthen Pleo’s GTM performance across Sales, Customer Success, Product, and Communications. Experience in programme management is essential. The person in this role will manage projects from start to finish, guide teams, and help shape processes that support significant business growth. The focus is on building efficient systems and creative solutions aimed at multiplying Pleo’s growth. Team Structure This position reports to the Director of GTM Strategy & Programs. Collaboration will span Revenue Operations, Customer Success, Sales and Growth, Product, Data, and Commercial IT teams. Main Responsibilities Lead commercial programmes that improve revenue efficiency throughout the customer lifecycle Drive new business revenue acquisition Strengthen the growth revenue pipeline Develop and implement churn prevention strategies Promote product adoption Apply AI to enhance GTM delivery Location This role is based in London.

Navigating the complexities of spend management can be challenging. At Pleo, we are revolutionizing this process with innovative spend solutions that streamline financial management, empowering both finance teams and employees. Our mission is to help businesses 'go beyond' expectations.The name 'Pleo' signifies 'more than you'd expect', and this principle has been pivotal to our success over the past decade.As we embark on an exciting phase in our journey, we recognize the impact of every decision on our 40,000+ customers and our overall success. We seek individuals who are passionate about identifying customer needs, simplifying complex challenges, and continually pushing boundaries with a respectful and ambitious mindset. Our diverse team of over 850 professionals from more than 100 nationalities is dedicated to shaping the future of business spending.Role OverviewWe are in search of a GTM Operations Manager to join our GTM Strategy & Programs team. This role is crucial in optimizing sustainable revenue through a focus on retention, customer success, and new business go-to-market strategies. You will operate at the nexus of GTM strategy, revenue operations, and technology, transforming concepts into actionable plans. Your responsibilities will include identifying opportunities for improvement in customer and revenue processes, designing data-driven solutions, and developing the operational systems necessary for their launch and growth. While your primary focus will be on Customer Success, you will engage across the entire GTM lifecycle.This position transcends traditional operations roles; you will embody a GTM Engineer mindset, integrating systems thinking, automation, AI, and experimentation to translate strategy into scalable execution. You will also enhance GTM capabilities across teams through coaching and sharing best practices. If you thrive on diagnosing intricate challenges, constructing modern GTM frameworks, and delivering tangible business outcomes, this role offers significant ownership and influence.Collaboration and ReportingYou will report directly to the Director of GTM Strategy & Programs and be part of the Revenue Operations team at Pleo. Collaborating closely with Revenue Operations, Customer Success, Commercial Product, and Data teams, you will serve as a GTM operator and strategic partner, linking teams, systems, and insights throughout the customer journey.

Managing expenses shouldn't be a hassle. At Pleo, we're revolutionizing spend management by creating solutions that simplify financial processes for both finance teams and employees. Our goal is to empower businesses to 'go beyond' with seamless, efficient spending solutions.The essence of 'Pleo' is to deliver 'more than you'd expect', a principle that has guided our success for over a decade.We are at a crucial stage of our growth where every decision impacts our 40,000+ customers and our overall success. We're on the lookout for individuals who are passionate about identifying customer needs, simplifying complex challenges, and aiming for excellence. With a dynamic team of over 850 people from more than 100 nationalities, we are driven and dedicated to shaping the future of business spending.About the RoleThe Payments platform is essential to our product and company. It encompasses card transactions, wallet top-ups, invoice payments, reimbursements, and much more.Our mission is clear: to craft payment experiences that delight our customers. Every transaction is significant, and we strive to make them seamless, reliable, and impactful.We are seeking a Senior Product Manager to join our Payments team at Pleo. In this pivotal role, you will lead a payment engineering team, driving solutions that truly benefit our customers.Your ResponsibilitiesAs a Senior Product Manager, you will:Set the strategic direction: Collaborate with teams, customers, and leadership to define the vision for Pleo’s payments platform.Drive measurable outcomes: Establish and monitor KPIs to gauge success, ensuring alignment with company objectives.Address complex challenges: Manage intricate technical and business issues, accounting for various factors such as risk, compliance, partner limitations, systems architecture, and customer experience.Foster collaboration: Work closely with Engineering Managers and other stakeholders to ensure smooth delivery and ongoing enhancements.

Join a pioneering journey in AI innovation!We are seeking a Founding Applied AI Engineer to be part of our client’s dynamic team in London. As an early hire in a rapidly growing startup moving from Seed to Series B funding, you will play a crucial role in shaping the future of intelligent systems.

About MentisAt Mentis, we specialize in developing evaluation datasets and reinforcement learning environments that ensure AI reliability in high-stakes sectors such as finance, healthcare, and legal. Our dedicated team curates expert training data, establishes precise rubrics, and creates verifiable task environments for AI laboratories and startups that aim to push the boundaries of model capabilities within regulated industries.As a dynamic, close-knit team based in London, we pride ourselves on our ability to adapt quickly and tackle challenges with seriousness. Every team member plays a direct role in our projects, and we value initiative and ownership as key components of our work culture. If you're interested in influencing how cutting-edge AI learns to function in real-world scenarios, we would love to hear from you.About the RoleAs a Member of the Technical Staff within our Applied AI team, your primary focus will be on creating the tasks and environments utilized by AI labs to train and assess their agents across finance, healthcare, and legal domains.Your daily responsibilities will include: designing reinforcement learning environments around documents, spreadsheets, and professional workflows; developing verification logic and reward functions; collaborating with domain experts to define what constitutes a correct response in various scenarios, such as an LBO model or clinical notes. This role will involve both engineering and research activities, with the common goal of producing the ground truth against which advanced models are evaluated.What You'll DoDevelop reinforcement learning environments across finance, healthcare, and legal sectors.Contribute to the design of tasks featuring definitive answers, calibrated rubrics, and programmatic reward signals.Implement verification logic and reward functions to differentiate between effective and ineffective model outputs.Engage directly with domain experts (investment analysts, physicians, attorneys) to convert intricate professional workflows into structured tasks.Innovate new methods for evaluation, verification, and synthetic data creation.Who We're Looking ForHands-on experience with large language models (LLMs), including prompting, evaluation, and agent integration. You’ve developed systems that function effectively, not just theoretical models.Demonstrated initiative and technical proficiency. You proactively identify needs, determine solutions, and execute them without waiting for directives.Adaptability to work in diverse contexts. Your role will frequently involve shifting between engineering, evaluation design, and collaborative work with domain experts.A commitment to delivering and refining outputs. In our small team, we prioritize action over prolonged review processes.

Role Overview bluefishai is looking for a Senior Applied AI Engineer to help shape how AI is implemented and integrated across the company. This position focuses on driving projects that improve developer productivity, streamline workflows, and introduce new product capabilities. The work is highly cross-functional and centers on delivering measurable business results. Key Responsibilities Lead initiatives that bring structure and clarity to AI adoption, setting standards for teams as they experiment with new approaches. Work closely with engineering, product, and leadership to identify impactful AI use cases and integrate them into the software development lifecycle. Advise on the application of emerging technologies, including agentic capabilities, to both products and internal processes. Mentor engineers, define best practices, and guide teams in adopting AI solutions that scale across the organization. Encourage collaboration and help align teams around practical, measurable solutions that boost productivity. Collaboration and Reporting This role reports directly to the VP of Engineering. Regular collaboration with engineering, product, and leadership teams is expected to ensure AI initiatives are impactful and aligned with business goals. Work Environment bluefishai is in the early stages of its AI journey, with a strong sense of curiosity and momentum. Teams are experimenting with different methodologies, and this role will be central in establishing effective, scalable AI practices across the company. Location This position is based in London or can be performed remotely within the UK.

About NevisNevis is pioneering the first-ever AI-driven wealth management platform, recently surpassing $50 billion in assets under management and projected to exceed $100 billion by year-end.Backed by prominent investors, Nevis has successfully secured $40 million in funding from Sequoia Capital, ICONIQ, and Ribbit, positioning itself as one of Europe’s most well-funded and rapidly expanding Series A startups.The RoleWe are on the lookout for an innovative and passionate Applied AI Engineer to join our dynamic team at Nevis. In this critical role, you will influence the development of our cutting-edge AI wealthtech product by creating LLM-driven automation solutions to tackle essential challenges faced by our corporate clients.You will engage with state-of-the-art LLM models, partnering with industry-leading vendors to enhance our product’s reasoning capabilities and achieve superior quality in our models’ outputs.Working alongside a distinguished team of engineers and product creators, including the ex-Head of AI at Revolut, you will have a unique opportunity to make a significant impact in one of the world’s largest industries.What You’ll DoDesign and develop LLM and ML-powered features for the Nevis platform.Collaborate with engineers and product teams to transition new AI capabilities from concept to production.Establish best practices for AI development, testing, observability, and reliability.Continuously assess and enhance AI product performance and reasoning accuracy.Work in tandem with product and design teams to prototype and refine new AI features.Stay abreast of advancements in Generative AI, including agentic systems and context engineering.Who You AreHands-on experience with LLMs.Demonstrated ability to solve real-world challenges using AI/ML.Strong statistical and data analysis skills.A STEM degree from a leading university.A passion for transformative AI technologies.A product-oriented mindset focused on practical solutions.

Role overview The Senior Applied AI Engineer at Taktile will play a central part in building and refining AI-driven solutions for the company's product suite. This position requires direct involvement with AI models and regular collaboration with colleagues across different teams. The work will help guide both the technical and product direction at Taktile. What you will do Design, develop, and implement applied AI models to enhance Taktile’s products. Collaborate with engineering, product, and other teams to take AI features from initial idea to production deployment. Participate in shaping product and AI strategies through active contribution to team discussions and decision-making. Location This is an in-office role based at Taktile’s London location.

Join Contentsquare, a pioneering experience intelligence platform, where we empower organizations to gain deep insights into their customers' digital journeys. Our innovative and scalable platform is designed for users across various expertise levels, making it easier to navigate the complexities of online interactions.As a global leader in experience analytics, we operate from 15 offices worldwide, committed to making a significant impact in the industry. We are seeking enthusiastic team members who are ready to contribute to our growth and success.At Contentsquare, we foster an inclusive work environment where every individual can thrive. Our community is built on values of courage, empathy, and intentionality, aimed at simplifying challenges for our clients, their customers, and each other.Note: Please be cautious of scam attempts impersonating Contentsquare. We do not request money or communicate through unsolicited messages. For further details, check our careers blog.Important Information:1. This is a software engineering position requiring a minimum of 5 years of relevant experience, particularly in TypeScript. While we utilize Large Language Models (LLMs), this is not a machine learning-focused role.2. The role is available as remote (in France, Spain, Italy, Poland, or Germany) or can be hybrid in our offices located in Barcelona, Paris, Milan, Munich, or Cairo.We are on the lookout for a Senior Fullstack Engineer (Applied AI) to engage in various innovative projects that harness the power of AI, especially leveraging LLMs. One of the key initiatives involves enhancing our AI CoPilot tool (currently exclusive to Heap) to broaden its application, allowing users with no prior experience in product or digital experience analytics to easily find answers through simple inquiries.Our rapid advancement in utilizing LLMs aims to streamline insights generation and simplify setup processes, among other enhancements. As our next Senior Software Engineer (Applied AI), you will play a significant role in product development and initial product iterations, participating in user interviews to validate product hypotheses.This position offers a unique opportunity to operate within a “startup-like” environment, where we swiftly transition from concept to proof of value, ensuring that our solutions deliver real benefits to our clients.

Artificial Intelligence is increasingly essential across all sectors of society. At Scale AI, our mission is to expedite the evolution of AI applications. For the past eight years, we have been at the forefront of AI data innovation, driving some of the most groundbreaking advancements in AI, such as generative AI, defense technologies, and autonomous vehicles. Following our recent Series F funding, we are enhancing the application of frontier data and models by developing sophisticated agents for enterprises globally through our Scale Generative Platform (SGP).The SGP ML team is at the forefront of the AI revolution. We engage directly with clients to design state-of-the-art products utilizing the extensive proprietary research and resources cultivated at Scale. As an Applied AI Engineer, you will collaborate with clients to develop machine learning solutions tailored to their business challenges. Your responsibilities will span from constructing next-generation AI cybersecurity firewalls to transforming AI experiences in journalism and employing foundational genomic models for life-saving drug protein predictions. Daily data-driven experiments will yield critical insights regarding model capabilities and deficiencies, which you will leverage to enhance product performance. If you are passionate about shaping the future of the AI landscape, we are eager to hear from you!

About AnthropicAt Anthropic, we are committed to developing safe, interpretable, and steerable artificial intelligence systems. Our mission is to ensure that AI technology is both reliable and beneficial for users and society at large. Our rapidly expanding team comprises dedicated researchers, engineers, policy experts, and business leaders collaborating to create impactful AI solutions.About the Role: As an Applied AI Engineer in our Startups team, you will serve as a vital technical advisor to leading AI-native startups, guiding them in leveraging the Claude Developer Platform as they transition from early-stage products to scalable solutions. You'll engage in deep technical collaborations, working directly with startup engineering teams to assist them in product development, agent design, and pioneering advancements in AI.In close partnership with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you’ll navigate startups through intricate technical engagements. Utilizing your expertise in AI engineering, you will create custom evaluation frameworks, design scalable architectures, and produce the technical resources necessary for startups to thrive with Claude.

About Our TeamThe Applied Foundations team at OpenAI is committed to ensuring that our state-of-the-art technology remains both innovative and resilient against various adversarial challenges. Our mission is to uphold the integrity of our platforms as they evolve and expand. As a vital part of this team, you will be at the forefront of safeguarding against financial exploitation, large-scale attacks, and other forms of misuse that could jeopardize the user experience and operational stability.The Integrity division within Applied Foundations is tasked with developing scalable systems that identify and respond to harmful activities on OpenAI's platforms. We are establishing a pioneering team in London to design next-generation systems that will enhance and scale the capabilities of experts addressing harms associated with our technology.Key ResponsibilitiesDesign and implement scalable foundational systems for the detection, tracking, and enforcement of harmful activities using our technologies.Collaborate closely with both technical and non-technical specialists to gain insights into the harms we observe stemming from our platforms, guiding your design and implementation processes.Utilize OpenAI’s cutting-edge technologies to automate and enhance our ability to swiftly and accurately detect and analyze complex harms with minimal human intervention.Work alongside policy, trust and safety operations, legal teams, and engineers specializing in harm mitigation to comprehensively address abusive behaviors leveraging OpenAI’s technology.Stay updated on the latest techniques and tools to remain ahead of resourceful adversaries.Ideal Candidate ProfileMinimum of 5 years of software engineering experience focusing on backend and data systems.At least 2 years of experience in trust and safety analysis, investigations, and/or operational roles.Passionate about learning from leading experts on AI-related harms and eager to collaborate within an interdisciplinary team comprising both technical and non-technical roles.Ability to navigate our codebase intuitively, providing insights that strengthen our engineering capabilities.A relentless desire to learn and acquire new skills, coupled with the ability to effectively communicate this knowledge to others.

About ApturaAptura specializes in creating evaluation datasets and reinforcement learning (RL) environments that enhance the reliability of AI across high-stakes sectors such as finance, healthcare, and legal domains. Our dedicated team curates expert training data, develops calibrated evaluation rubrics, and constructs verifiable task environments tailored for AI labs and startups that are innovating within regulated industries.As a compact and agile team based in London, we prioritize speed and take our work seriously. Each team member plays a crucial role, where initiative is celebrated, and ownership is a fundamental expectation. If you aspire to influence how advanced AI systems learn to function in real-world applications, we encourage you to apply.About the RoleIn the role of a Technical Staff Member on our Applied AI team, you will create the tasks and environments essential for AI labs to train and assess their agents across finance, healthcare, and legal sectors.Your daily responsibilities will include constructing RL environments using spreadsheets, documents, and professional workflows. You will develop verification logic and reward functions, collaborating closely with domain experts to define the criteria for accurate responses in complex models such as leveraged buyouts or clinical notes. Your work may oscillate between engineering and research, but the unifying objective is to deliver the ground truth against which leading models are evaluated.What You'll DoDevelop RL environments tailored to the finance, healthcare, and legal sectors.Collaborate in creating tasks with definitive answers, calibrated evaluation criteria, and automated reward signals.Design verification logic and reward functions to differentiate between effective and ineffective model outputs.Engage with domain experts (investment analysts, healthcare professionals, attorneys) to convert intricate professional workflows into structured tasks.Prototype innovative methods for evaluation, verification, and synthetic data generation.Who We're Looking ForHands-on experience with large language models (LLMs): including prompting, evaluation, and agentic harnesses. You have developed functional systems instead of merely theoretical models.High initiative and technical proficiency. You don’t wait for permission, specifications, or a detailed plan. You identify what needs to be accomplished, determine how to achieve it, and execute effectively.Ability to adapt to varied contexts. Your role will involve switching between engineering tasks, evaluation design, and close collaboration with domain experts frequently within a single day.You are proactive in shipping and iterating. In our small team, there’s no room for work that remains in limbo.

About LawhiveAt Lawhive, we are committed to democratizing access to legal services. Our innovative online platform empowers consumers and small businesses to obtain legal assistance at a fraction of traditional law firm costs. We seamlessly integrate human expertise from regulated lawyers with our pioneering AI lawyer, designed specifically for consumer legal matters.We believe that equal access to legal resources is one of the most significant societal challenges today. Our mission is to level the playing field, ensuring that legal assistance is as accessible as essential utilities.Our AI lawyer, Lawrence, is powered by our proprietary fine-tuned LLM, which has successfully passed the UK bar exam equivalent.Supported by leading venture capital firms in the US and UK, including Google Ventures, Balderton Capital, and TQ Ventures, we recently raised $40M in Series A funding to bolster our international expansion and grow our dynamic team, marking one of the largest Series A rounds in Europe for 2024.The RoleWe are on the lookout for a Senior Applied AI Engineer to become a pivotal member of our AI Engineering & Infrastructure team. In this role, you will be instrumental in deploying our latest AI-powered features and services at scale, enhancing our infrastructure, and ensuring the robustness of our solutions in production. Collaborating closely with AI researchers, software engineers, and product teams, you will bridge the gap between state-of-the-art AI research and its practical applications.

Technical Staff Member - Applied AIExciting Opportunity Awaiting YouWe are seeking a talented Member of Technical Staff specializing in generative modeling to bridge the gap between our cutting-edge models and the clients who rely on them. You will be a part of a diverse team comprising machine learning experts, protein engineers, and biologists, all collaboratively working to revolutionize biological control and disease treatment. In this role, you will gain a thorough understanding of our proprietary generative models and leverage that expertise to adapt, deploy, and optimize these models in client environments, especially within the pharmaceutical and biotech industries.This is a hybrid position requiring a research-oriented mindset coupled with excellent communication skills to effectively translate complex concepts into practical production systems that yield scientific benefits for our partners.About Latent LabsAt Latent Labs, we are committed to developing pioneering models that grasp the fundamentals of biology. Our ambitious goals are driven by curiosity and an unwavering commitment to scientific excellence. Our team previously contributed to the award-winning AlphaFold project at DeepMind, invented latent diffusion, and established groundbreaking lab data management and high-throughput protein screening systems. At Latent Labs, you'll collaborate with some of the brightest minds in generative AI and biology.We foster an environment of interdisciplinary exchange, continuous learning, and collaboration. Our offsite team-building activities promote a culture of trust across our London and San Francisco offices.We are looking for innovative thinkers who are passionate about solving complex challenges and making a positive global impact. Join us on our ambitious mission!

POS-22139This position offers flexible work options: Office, Hybrid, or Remote within the UKAt HubSpot, we are dedicated to equipping businesses with state-of-the-art AI technologies, and our AI Infrastructure group plays a pivotal role in this mission. We are looking for a Staff Software Engineer who is passionate about infrastructure and improving the developer experience to join our dynamic AI Serving team. This team is responsible for managing HubSpot's end-to-end model inference and serving infrastructure, ensuring that AI models are deployed reliably, scaled appropriately, and remain cost-effective across various environments, while also serving as the cornerstone for modern Python development at HubSpot.The AI Serving team is in charge of the frameworks and libraries that facilitate synchronous, asynchronous, and offline inference, including model deployment pipelines, autoscaling, and resource management for both GPU and CPU. Our roadmap is focused on enhancing batch inference reliability and efficiency, advancing model observability, and optimizing AI infrastructure costs. Additionally, we are the custodians of essential Python libraries and tools within HubSpot.As a Staff Software Engineer on the AI Serving team, your responsibilities will include:Developing and deploying production-level code that directly enhances AI capabilities across HubSpot, serving as a crucial component for user and business impact at scale.Driving the advancement of our model serving and inference infrastructure, with an emphasis on reliability, scalability, and cost efficiency.Setting the technical direction for deploying and operating ML models at scale, influencing decisions on architecture, cost management, and developer experience.Collaborating closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving processes.Gaining in-depth exposure to a variety of HubSpot infrastructure systems by building and maintaining core Python libraries, providing an excellent opportunity to understand HubSpot's operations in detail.Engaging with HubSpotters across the organization—from engineering and product to design, research, marketing, and sales—to gain insights into how HubSpot functions as a business.Being encouraged to bring your authentic self to work and to choose a work style and location that enables you to perform at your best, whether that be from home, in an office, or a combination of both.We are not solely seeking engineers with extensive experience; we are looking for individuals who have demonstrated unique excellence, leadership qualities, and the ability to uplift those around them.

Join Anthropic as the Manager of Forward Deployed Engineering in our Applied AI division. In this pivotal role, you will lead a team of skilled engineers who are at the forefront of deploying innovative AI solutions. Your leadership will be crucial in driving technical excellence and fostering collaboration between cross-functional teams. You will work closely with product management and research teams to ensure our AI systems are effectively integrated into real-world applications.