Staff Software Engineer, Docker Agents

At Docker, we are dedicated to simplifying application development, allowing developers to concentrate on what truly matters. Our remote-first team is global, united by a shared passion for innovation and exceptional developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker stands as the leading tool for building, sharing, and running applications, trusted by both startups and Fortune 100 companies alike. We are in a rapid growth phase and just getting started. Join us for an exciting journey!As part of Docker's AI engineering team, you will play a pivotal role in shaping the future of containerized AI agents. Docker containers serve as the ideal platform to host and execute AI agents, providing isolation, portability, and reproducibility.You will contribute to Docker Agent, our open-source project (https://github.com/docker/docker-agent), enhancing it to empower developers to build, deploy, and scale intelligent agents using Docker's container technology.This position offers a unique greenfield opportunity to influence how developers utilize containers for AI agents at scale. You will collaborate with a team of experienced engineers and work closely with our sister teams focused on Ask Gordon and Docker's broader AI platform. This role combines cutting-edge AI techniques with container technology to address real-world developer challenges.Important Note: This position is only available to candidates currently residing in London (or within a reasonable commuting distance). We cannot make exceptions to this location requirement.

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.

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.

About the Role vega is looking for an AI/Agent Engineer in London. This position focuses on designing and building intelligent agents that address complex challenges. Work will directly support the advancement of AI solutions across the company.

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.

About UsAt Sierra, we are revolutionizing the way businesses engage with their customers through innovative AI solutions. Our mission is to craft exceptional, human-centric customer experiences. With our headquarters in San Francisco and expanding offices in London, Atlanta, New York, France, Singapore, and Japan, we are at the forefront of technology.Our corporate culture is deeply rooted in our core values: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These principles guide our actions and decisions, shaping a collaborative and empowering work environment.Led by co-founders Bret Taylor and Clay Bavor, Sierra is positioned for growth. Bret has an impressive background, having served as co-CEO of Salesforce and CTO of Facebook, while Clay has dedicated years at Google leading groundbreaking projects in AR/VR and product design.Your RoleArchitect and deploy state-of-the-art AI agents: You will be responsible for designing, developing, and launching high-performance AI agents that are pivotal to Sierra’s success, enhancing customer interactions across various sectors such as finance, healthcare, and e-commerce.Lead the Agent Development Life Cycle: Take full ownership of projects from inception to deployment and sustained enhancements, establishing best practices and ensuring the highest standards are met in AI development.Collaborate with industry leaders: Engage directly with top executives at major enterprises and dynamic startups, identifying their challenges and pioneering AI solutions that drive operational transformation.

Join unlikelyAI as a Staff Software Engineer and be at the forefront of developing cutting-edge artificial intelligence solutions. In this pivotal role, you will collaborate with a talented team to design, implement, and optimize software systems that push the boundaries of technology.As a key member of our engineering team, you'll have the opportunity to influence the architecture of our products and mentor junior engineers. We are looking for innovative thinkers who thrive in a fast-paced environment and are passionate about building scalable and efficient software.

About MentisAt Mentis, we are dedicated to creating reliable AI solutions for critical sectors such as finance, healthcare, and legal. Our team specializes in developing meticulously curated evaluation datasets and reinforcement learning environments. We empower AI labs and startups by providing them with expertly crafted training data, calibrated assessment rubrics, and rigorous task environments to push the boundaries of AI capabilities in regulated industries.As a tight-knit team based in London, we pride ourselves on our agility and commitment to excellence. Every member plays a vital role in our mission, and we value initiative and ownership in our collaborative work culture. If you are passionate about shaping the future of frontier AI applications, we want to hear from you.About the RoleAs a Software Engineer and Member of Technical Staff, you will be instrumental in building and scaling the platform that drives Mentis' operations. You will develop essential annotation tools, workflow systems, quality control pipelines, and internal infrastructure fundamental to every dataset and environment we deliver.Your daily tasks will include designing expert task creation workflows, creating task assignment and review interfaces, developing data pipelines to convert expert outputs into structured training sets, and integrating LLM-powered tools into our product. Your role will vary from product engineering to infrastructure development, with a consistent focus on producing high-quality evaluation data at scale.You will take ownership of the platform's development, making key decisions on what features to build, how to implement them, and establishing the standards for our growth.What You'll DoDevelop and manage the core data annotation and workflow platform from start to finish, overseeing task assignment, expert interfaces, quality control, and dataset delivery.Design systems that facilitate expert onboarding, task routing, review workflows, and scalable quality assurance processes.Enhance AI-integrated pipelines across the platform, including LLM-assisted annotation, automated checks, and model-in-the-loop workflows.Collaborate directly with founders and domain experts to streamline bespoke processes into effective, scalable software solutions.Make informed product and engineering decisions in a dynamic environment, prioritizing and shipping features without waiting for perfect specifications.Contribute to defining our team’s development practices, including tooling choices, engineering standards, and product strategy.Who We're Looking ForWe seek a proactive individual who thrives in fast-paced environments and embraces ambiguity. If you are excited about the opportunity to influence how AI learns and operates in real-world settings, we welcome your application.

Join us at Docker, where we revolutionize app development, allowing developers to concentrate on what truly matters. Our remote-first global team thrives on innovation and enhancing the developer experience. With over 20 million monthly users and 20 billion image pulls, Docker stands as the premier tool for building, sharing, and running applications—trusted by both startups and Fortune 100 companies. As we rapidly expand, we're just getting started. Come aboard and enjoy this exciting journey!We are seeking a Principal Software Engineer (Docker Agents) to join our AI engineering team to shape the future of containerized AI agents. Docker containers provide the ideal environment for hosting and executing AI agents, ensuring isolation, portability, and reproducibility. You will work on our open-source project, cagent (https://github.com/docker/cagent), and enhance it to empower developers in building, deploying, and scaling intelligent agents utilizing Docker’s container technology.This is a unique opportunity to influence how developers harness containers for AI agents on a large scale. You will establish the technical vision, spearhead architectural decisions, and collaborate with engineers and leaders across Docker to integrate containerized agent capabilities into the developer experience.

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.

Our MissionAt Omnea, we are transforming the enterprise business landscape by addressing the most challenging aspects of procurement. Our aim is to streamline the purchase process, which often drags on for months, involves numerous emails, and requires input from various departments such as Finance, Legal, Security, and IT for approvals.With the backing of $75M from Khosla Ventures, Insight Partners, and Accel, we are revolutionizing this space. Our AI-driven platform integrates every stakeholder, step, and system to ensure that buying is swift, secure, and efficient—providing a singular destination for requests, automated approvals and renewals, real-time supplier risk analysis, and complete visibility of spending.This sector represents a $7B+ untapped market, and our growth trajectory underscores the potential: we have increased our ARR tenfold to double-digit millions in just 18 months, earning the trust of global enterprises like Spotify, MongoDB, Monzo, and Albertsons. Currently, we are recognized as the 4th fastest growing startup in Europe.Our team has previously scaled Tessian (cybersecurity technology backed by Sequoia, Balderton, Accel, and acquired post-Series C). We comprise ex-founders and operators who have successfully grown unicorns and delivered world-class products. You will collaborate with seasoned leaders like Ben, Abs, Sabrina, and Rebe.What We're Looking ForWe are on the lookout for an outstanding, product-oriented Staff Software Engineer (L4) to be a pivotal part of our engineering team and propel Omnea into its next growth phase. In the upcoming year, our team will double in size, our enterprise customer base will expand from around 100 to over 200, and our revenue is projected to triple. This role is for a senior individual contributor focused on domain-level impact, where you will utilize your deep technical expertise to influence systems, architecture, and product outcomes—without formal team leadership or people management obligations.You will join us at a critical juncture. We have recently secured $50M in Series B funding from ....

About H H is focused on advancing superintelligence by developing agentic AI. The team’s mission is to automate complex, multi-step tasks that typically require human effort, enabling AI agents to extend what people can achieve. H values open collaboration, continuous learning, and responsible progress. The company seeks people who care deeply about building agentic technologies safely and who want to contribute to a culture where every voice matters. About the Agent Team The Agent team shapes new learning algorithms and agent paradigms that move agentic systems forward. Work centers on foundational models and reinforcement learning, with a focus on training artificial general agents. Collaboration with the LLM/VLM and Safety teams is central, as the group explores new research directions together. Role Overview: Technical Staff Member - Research - Agent This position is part of the research team and centers on engineering. The main responsibility: define system architectures and build scalable platforms that underpin research efforts. The work involves turning research ideas into reliable, high-performance systems ready for production, supporting the next wave of agentic AI. Location London

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 Our Team as a Staff Software EngineerAt Deliveroo, we are dedicated to revolutionizing the way people shop and dine. Our commitment to impact, innovation, and growth is at the core of everything we do. Our engineering teams are tasked with addressing intricate technical challenges within a global, three-sided marketplace, developing and scaling systems that cater to millions of customers, riders, and partners daily.From real-time logistics to robust infrastructure and marketplace optimization, we design, build, and operate the technology that fuels Deliveroo's expansive growth.We are seeking a Staff Software Engineer to become a key member of our London, UK - Hybrid (3 days in the office) team. In this pivotal role, you will help us craft technical solutions for essential business challenges and steer the technical direction for complex, high-scale systems.Discover our Engineering team — learn about our motivations, work culture, and what you can expect when you join us.

Join our dynamic team as a Staff Software Engineer at CyberArk, where you will be instrumental in developing cutting-edge security solutions. You will collaborate with a talented group of engineers to design, implement, and maintain software systems that protect against evolving cyber threats. Your expertise will contribute to innovative projects that shape the future of enterprise security.

Join Our Innovative Team as a Senior AI Engineer (Agentic Systems)At StarCompliance, we are at the forefront of creating software solutions that address critical compliance needs for our global clientele. As we integrate AI as a fundamental capability throughout our software development lifecycle, we invite you to be part of this transformative journey.We are looking for a Senior AI Engineer to spearhead the practical implementation and expansion of AI-assisted and agentic engineering within our teams. This is a hands-on role where you will engage directly with real codebases, leveraging cutting-edge AI-native development environments (Cursor preferred) to revolutionize the software development process.Your mission will be to evolve AI from a mere tool into a fully embedded system that is repeatable and scalable. You will craft and execute playbooks, establish workflows, and define patterns that allow our teams to harness the power of parallel AI agents, facilitate autonomous code reviews, and create AI-driven delivery pipelines. Additionally, you will play a pivotal role in launching new initiatives, ensuring they are built on the right architecture and AI-enabled engineering practices from the outset.This position is part of our R&D Engineering team and collaborates closely with Platform, QA, and Product Engineering. Here, influence is gained through tangible delivery rather than hierarchy.Our Vision of AIWe view AI not just as an assistant, but as an integral component of our engineering ecosystem. We expect engineers in this role to embrace this perspective and drive our AI initiatives forward.

Join Multiverse, the leading platform for upskilling in AI and technology adoption, where we are reshaping the workforce of tomorrow.With partnerships spanning over 1,500 companies, we offer transformative learning experiences that empower individuals at any stage of their career to master essential AI, data, and technology skills. Our learners have generated over $2 billion in ROI for their employers by applying their newly acquired skills to enhance productivity and performance metrics.In June 2022, we celebrated our milestone achievement of securing $220 million in Series D funding, co-led by esteemed investors such as StepStone Group, Lightspeed Venture Partners, and General Catalyst, propelling us to a post-money valuation of $1.7 billion, making us the UK’s first EdTech unicorn.With a robust operational presence and a growing team of over 800 employees, we are committed to scaling our mission further. We envision a future where technology skills unlock human potential and productivity.Why You Will Love This OpportunityAs a pivotal member of our engineering team, you will have the chance to make a real difference in the lives of thousands by shaping the tools and systems that enable the workforce to thrive in the age of AI. This is not just about utilizing AI tools; you will architect the frameworks that facilitate the deployment of AI-driven features at scale.This role embodies the duality of Will Larson's Tech Lead and Architect archetypes, acting as a catalyst for collaboration across various teams. You will transition from focusing solely on feature delivery to tackling intricate, cross-functional challenges, ensuring that as we enhance our AI capabilities, we uphold stability, security, and architectural integrity. If you thrive on resolving complex engineering dilemmas and are eager to lead decision-making while remaining engaged with the code, then this is the perfect environment for you.Areas Where You Can ContributeYou will be part of our Product Fundamentals Group, collaborating closely with various teams:Learning Product Group: Where mission meets market. You will oversee the entire learner journey from application to graduation, crafting seamless experiences that demonstrate the ROI of our programs to the world's largest employers.Product Fundamentals Group: The connective tissue. You will develop the shared infrastructure and foundational elements that empower our teams to deliver exceptional learning experiences.

Join Plaid as a Staff Software Engineer and be a vital part of our team in London. We are looking for innovative engineers who are passionate about building the infrastructure that powers the future of fintech. You will work alongside talented professionals, contributing to an exciting array of projects that will challenge your skills and help you grow.

About Checkout.com Checkout.com helps businesses succeed in the digital economy. Leading companies such as eBay, ASOS, Klarna, Uber Eats, and Sony rely on our platform to process seamless online payments. Our global network supports billions of transactions each year, focusing on reliability and ease of use. Headquartered in London, Checkout.com operates from 19 offices across six continents. The company values high performance and continuous improvement. Working here means contributing to the future of fintech alongside teams striving for excellence. Role Overview: Staff Software Engineer - Streaming The Data and AI Platform Team is looking for a Staff Software Engineer to help build a scalable platform for AI-driven streaming and batch data applications. This platform will improve how data is shared and used across Checkout.com, supporting business growth and performance. The team’s mission is to make it easier for internal teams to collect, store, process, and use data for impactful AI projects and data products. The focus is on reducing technical overhead so engineers can spend more time solving business challenges, not managing infrastructure or deployments. Current work lays the foundation for systems that will scale to support hundreds of teams and handle petabytes of data. Main Responsibilities Design and develop a highly available event streaming platform using technologies like Kafka and Flink. Offer technical leadership and mentorship, providing strategic direction and building strong relationships with engineers and managers across the organization. Work with cross-functional teams to deliver data solutions that support business goals. Location This role is based in London.

Join Carta, a leading financial technology company, as a Staff Software Engineer. In this role, you will contribute to the development of innovative software solutions that empower companies to manage their equity and ownership structures more effectively. You will collaborate with cross-functional teams, leveraging the latest technologies to deliver robust and scalable applications.