Senior Product Engineer (AI)

About the Role As a Staff AI Engineer at bluefishai, you will take on a pivotal role as a technical leader, driving the development of our LLM-powered products that are at the cutting edge of marketing and advertising technology. You will be instrumental in making architectural decisions, establishing quality benchmarks, and spearheading collaborative initiatives across multiple teams that yield tangible results. This position will empower you to shape the vision and execution of our data platform and LLM-driven products. You will oversee critical architectural aspects related to data pipelines, model integration, deployment, and evaluation. Your expertise will turn high-level product and business objectives into robust, scalable data solutions that provide measurable benefits for our Fortune 500 clients. This role encompasses both data backend and ML engineering, ensuring the reliability and cost-effectiveness of our pipelines while enhancing the performance of LLM-enabled features. You will elevate data literacy within the department through crafting and collaboration. Your responsibilities will include ensuring the health, cost management, and continuous improvement of key data products and platforms, working closely with full-stack engineers, product managers, designers, and devops to deliver reliable solutions that our customers can depend on. This is an exciting opportunity to influence the future of AI technologies and contribute significantly to impactful real-world applications. While this role is associated with our London office, we embrace flexibility with hybrid or remote work arrangements within the UK.

Join Intercom, the leading AI Customer Service company dedicated to revolutionizing customer experiences across the globe.Our flagship AI agent, Fin, represents the pinnacle of customer service technology, enabling businesses to offer exceptional, round-the-clock support and fundamentally enhance customer interactions. Fin is seamlessly integrated with our Helpdesk, forming the Intercom Customer Service Suite—an all-encompassing solution for intricate inquiries that necessitate human intervention.Established in 2011 and trusted by nearly 30,000 businesses worldwide, Intercom is redefining customer service standards. We are driven by our core values of innovation, speed, and delivering remarkable value to our clients.What’s the Opportunity?We are on the lookout for Staff Product Engineers to join our AI Group and contribute to the development of Intercom’s AI-driven products. As a Product Engineer in Machine Learning, you will collaborate closely with both our ML Scientists and Product teams, gaining a comprehensive understanding of our product offerings, customer needs, and ML technological framework.Your responsibilities will include defining new machine learning features, exploring suitable algorithms and technologies, and quickly delivering initial prototypes to our users.Our team is highly focused on product development, collaborating with Product and Design teams. Our dedicated Engineering staff enables us to expedite production, frequently launching beta versions within weeks after successful offline testing.We are passionate about leveraging machine learning technology, having successfully productized everything from traditional supervised models to innovative unsupervised clustering algorithms and unique applications of transformer neural networks. We rigorously test and assess the tangible impact of each model we implement.If you are an accomplished product engineer with a methodical approach to development and practical experience with ML systems, we would love to hear from you!

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 WatershedWatershed is a premier enterprise sustainability platform utilized by leading organizations such as Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens. Our platform enables companies to effectively manage climate and ESG data, generate audit-ready metrics for both voluntary and regulatory reporting including CSRD, and facilitate substantial decarbonization efforts. We seek passionate individuals who are enthusiastic about product development, eager to contribute to a mission-driven startup, and willing to collaborate in shaping a vibrant team culture.With offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and a robust remote workforce across the US and Europe, we invite you to explore the opportunity to join our dynamic team!The RoleWe are on the lookout for a talented software engineer with a specialization in AI to become a key member of our sustainability AI reporting team. In this technical leadership role, you will assist in the creation of a cutting-edge AI tool that empowers companies to manage and report their sustainability progress. You will harness LLMs, embeddings, and various AI technologies to deliver innovative features to our customers while establishing the technical groundwork for AI at Watershed.This position requires being based in our London HQ four days a week.Your Responsibilities:Prototype, develop, and refine new product features for Watershed, empowering our customers with advanced AI tools for data extraction and report generation.Productionize and launch core technologies necessary for AI functionalities, leveraging extensive operational sustainability data.Engage with product and other AI engineering teams to define product and technical strategy.Stay informed about advancements and state-of-the-art developments in AI to assess relevance for Watershed.Write efficient, high-quality, tested, and maintainable code across our technical stack.Ideal Candidates Will Have:A minimum of 2 years of experience in building AI-powered products and 5+ years in software engineering.Proven experience in developing products utilizing LLMs, embeddings, and other machine learning technologies.Comprehensive experience with the lifecycle of building, deploying, and monitoring products that leverage LLMs, embeddings, or other machine learning technologies.

Role overview Antithesis is seeking a Senior or Staff Engineer in London, UK to focus on Hegel. The team values creative problem-solving and technical depth, with engineers regularly exchanging ideas and expertise to drive projects forward. Collaboration is a core part of the work culture. What you will do Tackle complex engineering challenges involving Hegel Support both new and ongoing projects that influence the team’s direction Work closely with colleagues to develop practical solutions Requirements Previous experience at a senior or staff engineering level Keen interest in working with Hegel Enjoys sharing knowledge and collaborating with others Motivated to try new technical approaches Location This role is based in London, UK.

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.

Role Overview The Trade Desk is hiring a Staff Software Engineer to help build advanced AI solutions. This London-based role centers on designing and implementing software systems that support and improve AI-driven products. What You Will Do Design and implement software systems for AI applications Work closely with teams across disciplines to expand product capabilities Support integration of new technologies into existing products Collaboration This role involves frequent collaboration with cross-functional teams to ensure AI systems are effective and integrate smoothly with other offerings.

Join our innovative team at antithesis as a Senior/Staff Engineer specializing in Bombadil. In this pivotal role, you will lead engineering projects, collaborate with cross-functional teams, and drive the development of cutting-edge solutions. Your expertise will be crucial in enhancing system performance and ensuring the seamless integration of new technologies.

AlphaSense seeks a Senior or Staff Design Engineer based in London. This position centers on developing new solutions that advance the company’s products. Design decisions in this role have a direct impact on the features and quality that clients depend on. Key responsibilities Shape and build product features from concept through delivery Apply design expertise to influence product direction and quality What you bring Strong background in design engineering Experience building solutions that drive product improvement Ability to make design choices that enhance client experience

At Databricks, we're committed to empowering data teams to tackle some of the world's most challenging issues, including security threat detection and cancer drug development. Our mission is to create and manage the premier data and AI infrastructure platform so our customers can dedicate their efforts to the high-value challenges crucial to their missions. Our engineering teams develop cutting-edge products that meet significant real-world needs. We operate one of the largest-scale software platforms, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Given our scale, we frequently encounter hardware, network, and operating system faults, and our software must effectively shield our customers from these challenges. The Delta DML team is responsible for the core write-path operations for Delta Lake, the open-source storage layer underlying the Databricks Lakehouse. Our goal is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks passing through our platform. We innovate in performance through features like Low Shuffle Merge and Deletion Vectors, and actively contribute to open-source initiatives that unify Delta and Iceberg formats. We are on the lookout for a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this pivotal role, you will design, develop, and maintain robust backend systems that power Databricks workspaces. You will work on building the next-generation platform for serving workspace assets, ensuring high queries per second (QPS), low latency, reliability, and performance while proactively addressing future growth challenges. As a senior member of the team, your responsibilities will also include providing technical leadership, mentorship, and guidance to junior engineers, thereby enhancing the overall coding practices and system designs of the team.

Role overview Paconsulting is hiring a Senior AI Engineer in London. This position shapes how artificial intelligence supports and advances the company’s services. The Senior AI Engineer partners with colleagues from different disciplines to build and deploy advanced AI models and algorithms. What you will do Design, develop, and implement AI models and algorithms Collaborate with cross-functional teams to integrate AI solutions into service offerings

Role overview ASOS Plc seeks a Senior AI Engineer based in London to create AI-driven solutions that enhance customer interactions with the ASOS platform. This position collaborates with teams across the company to address practical challenges through machine learning and artificial intelligence. What you will do Design, build, and deploy AI models that align with ASOS's business objectives Partner with engineering, product, and data teams to deliver integrated solutions Use advanced machine learning and AI techniques to improve both customer experience and operational processes

Role overview Moveworks, a part of ServiceNow, is seeking a Staff AI Agent Engineer to join the Engineering, Infrastructure, and Operations team in London. This full-time position centers on deploying AI solutions that enhance both customer experiences and business operations. What you will do Design, build, and launch AI-driven applications tailored for customer needs Streamline business processes by applying advanced AI technologies Collaborate with cross-functional groups to integrate AI into service offerings Promote operational efficiency by introducing technical improvements Requirements Experience as a mid-senior level engineer focused on AI application development Proven track record in deploying and integrating AI solutions Ability to work effectively with both engineering and business teams Location This role is based in London.

About the PositionBluefish AI is on the lookout for a talented Staff Full-Stack Engineer who excels at the convergence of product development, infrastructure management, and AI-enhanced solutions. In this pivotal role, you will spearhead the architecture and evolution of scalable web applications, significantly contributing to the long-term technical backbone of Bluefish's AI marketing platform.As a key player, you will collaborate with cross-functional teams including AI engineers, product managers, designers, and infrastructure engineers to transform vague product concepts into solid, scalable systems. Your responsibilities will extend beyond feature development to encompass defining architectural patterns, steering technical direction, and ensuring that engineering choices align with the company's growth trajectory.We seek a candidate with a strong product-oriented and systems-focused mindset, dedicated to delivering sustainable solutions and demonstrable customer impact.In this technical leadership role, you will enhance engineering practices across teams, guiding design reviews, mentoring senior engineers, and establishing standards that empower teams to innovate rapidly while ensuring reliability and quality.This position presents an exciting opportunity to shape the architecture of core systems, influence the technical strategy across the company, and define the role of AI-assisted development in revolutionizing marketing technology.This position is associated with our London office but offers remote work options within the UK.

Role overview SmartRecruiters seeks a Senior AI Engineer based in the United Kingdom. The position centers on building and refining artificial intelligence models to enhance product capabilities and support overall business objectives. What you will do Design, implement, and optimize AI models for practical use cases Collaborate with teams across the company to integrate AI solutions into existing products Apply technical expertise to projects that influence the direction of our technology Requirements Substantial experience in artificial intelligence and machine learning Proven ability to design and deploy AI models Comfort working with cross-functional teams

About H:At H, we are at the forefront of superintelligence, driven by our mission to harness agentic AI. Our innovative AI agents automate intricate, multi-step tasks traditionally carried out by humans, empowering individuals to reach their fullest potential.We are on the lookout for exceptional AI professionals who prioritize building responsibly and safely while pushing the boundaries of agentic technology. Our culture thrives on openness, continuous learning, and collaborative efforts, where every team member's contribution is valued.About the Team:Our Product Engineering Team plays a pivotal role in the successful deployment and operation of our Agents and Inference platforms, along with related services that support our Research department and lay the groundwork for our market-ready agentic products.Key Responsibilities:Lead the definition and execution of technical architecture, design, and strategic engineering roadmap.Design, develop, and maintain robust, high-performance, scalable systems.Mentor and inspire engineers across various teams, nurturing a culture of technical excellence.Conduct comprehensive code reviews and design evaluations to uphold quality and security standards.Collaborate closely with Research, Engineering, and other stakeholders to deliver impactful solutions.Enhance system reliability, scalability, and observability through continuous improvements.Establish and uphold engineering standards, tools, and processes.Drive innovation and proactively manage technical debt.

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.

Dataiku offers a unified platform for building, deploying, and managing AI systems at enterprise scale. Teams use this platform to design analytics, develop machine learning models, and manage AI agents within a single environment. Dataiku connects with many data sources, cloud services, and AI tools, supporting collaboration and centralized oversight. Companies around the world use Dataiku to achieve measurable results with AI. Learn more about Dataiku on the blog, LinkedIn, X, and YouTube. Role overview The Senior Generative AI Engineer joins the Enterprise Data & Analytics (ED&A) team in London. This position is hands-on and centers on building advanced agentic AI systems that help improve internal operations at Dataiku. What you will do Develop and implement generative AI solutions for internal business needs Collaborate with business units to understand challenges and turn them into practical software applications Lead projects from requirements gathering through deployment Oversee the entire lifecycle of AI system development within the ED&A team

At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging problems — from revolutionizing transportation to advancing medical innovations. We achieve this by developing and operating the world's leading data and AI infrastructure platform, enabling our customers to harness deep insights from data to elevate their business outcomes. Founded by engineers and driven by customer obsession, we seize every opportunity to confront complex technical challenges, whether it's crafting next-generation UI/UX for data interfaces or scaling our services and infrastructure across millions of virtual machines. Our journey has only just begun. Our engineering teams are at the forefront of creating impactful products that address significant global needs. We operate one of the largest-scale software platforms, managing millions of virtual machines, generating vast amounts of logs, and processing exabytes of data daily. Given our scale, we frequently encounter cloud hardware, network, and operating system faults, and our software must seamlessly shield our customers from these challenges. Unity Catalog serves as our platform's native unified and open governance solution for data and AI. It eradicates silos, streamlines governance, and accelerates insights at scale. We are seeking a Senior Staff Software Engineer to lead the technical direction of Unity Catalog Runtime Enforcement. In this role, you will build and fortify the runtime enforcement layer for Unity Catalog, guaranteeing secure and consistent authorization and data access across Databricks compute, engines, and cloud environments. This initiative aims to reduce incidents and simplify customer choices by unifying enforcement semantics.