Founding Software Engineer

About TracerTracer is an innovative early-stage startup that specializes in developing autonomous AI agents for production data pipelines. Backed by seasoned investors and industry leaders, we believe that AI will revolutionize production systems, becoming a key player in enterprise software over the next decade. Our team is composed of highly skilled professionals focused on delivering impactful results. Role OverviewWe are seeking a Founding AI Engineer (Staff) to join our London team. In this pivotal role, you will be responsible for designing the core architecture and launching an AI agent that generates reliable root cause analyses (RCAs) and actionable suggestions for significant alerts. While human oversight remains essential for production decisions, you will empower the agent to handle the intricacies of data management. Our Technology StackPython with LangGraph for multi-agent alert investigationsRust for high-performance systemsClickHouse for scalable event and investigation historyAWS and Terraform for self-managing infrastructureNext.js and TypeScript for an engaging front-end experience Your ResponsibilitiesAs the core architect, you will transform alerts into comprehensive investigations and RCAs. Your key tasks will include:Designing and building the primary alert investigation and RCA pipeline using PythonCreating essential systems such as alert ingestion, context enrichment, hypothesis orchestration, and reportingMaking critical architectural decisions to ensure reliability and observability from the outsetCollaborating with founders to refine and expand high-value alert typesDeveloping customer-ready integrations across the pipeline

Corgi provides insurance for technology startups, using AI to streamline underwriting and operations. With $108 million in funding and full regulatory approval as a licensed carrier, Corgi is expanding into the UK and EU. The platform uses Django, integrates Stripe for payments, and relies on AI-driven processes at every stage. Role overview This founding engineer position is based in London and focuses on building and shipping real products. Joining at an early stage, the role involves shaping both the product and company culture as Corgi grows in new markets. The work is hands-on, with a strong emphasis on delivering live solutions rather than just planning or design. Requirements Track record of independently building and launching projects with real user engagement and polished outcomes Comfort working at a daily pace, prioritizing progress over prolonged planning Ability to work across the technology stack and solve problems directly Strong opinions, balanced by openness to better solutions Humble attitude and genuine drive to build and improve How Corgi works Decisions are made quickly, without waiting for perfect answers Products and improvements are released regularly, not just quarterly Ship-and-iterate mindset keeps momentum high and avoids bureaucracy Consistent intensity during product pushes, with minimal slowdowns Decisions are made transparently High performers help raise the bar for the team This is not a passive or comfortable position. The role suits those who want to build and take ownership. Behaviors that lead to removal Engaging in office politics, avoiding responsibility, or gossiping Treating direct feedback as a personal attack Adding unnecessary complexity instead of improving efficiency Missing deadlines after making commitments How to apply Instead of a resume, send links to your work, such as: GitHub repositories Personal website Live projects Shipped applications Email applications to: sergio@corgi.com Candidates must have demonstrable projects to share. If not, this role is not a fit. Location This position is based in London. On-site or hybrid work options are available. Compensation Salary ranges from £75,000 to £140,000, plus equity. The range reflects a focus on real shipping ability over job titles.

Your RoleAs a Founding Engineer at Marloo in London, you will play a pivotal role in shaping the future of our product. Your responsibilities will include:End-to-End Full-Stack DevelopmentOwn and develop core product features, working seamlessly from backend infrastructure to engaging frontend experiences, prioritizing rapid delivery and continuous iteration.Architectural LeadershipEstablish sustainable technical patterns and make crucial architectural decisions that align with our growth trajectory. You will be the guiding authority on our codebase and influence our engineering culture significantly.Collaborative Product DevelopmentEngage directly with the founders to convert user feedback into innovative technical solutions. Your understanding of business needs and product development will be as essential as your technical skills.AI-Driven DevelopmentUtilize AI tools daily to enhance your development processes, from architecture to debugging. We expect you to be an adept user of the latest AI development technologies.

Corgi is a licensed insurance carrier focused on tech startups, using AI to simplify and speed up coverage. The company has raised $108M and is expanding across the UK and EU. The platform relies on Django, integrates Stripe for payments, and features AI-driven underwriting. Role overview This founding engineer role is based in London and centers on building and launching new products, often independently. Corgi values engineers who turn ideas into live products, rather than following detailed roadmaps. Evidence of shipped side projects, weekend builds, or products that have reached real users is highly regarded. Who succeeds here Track record of independently building and delivering real projects Comfortable working across the full technology stack Delivers results quickly, in hours or days Low-ego, motivated by results rather than titles Open to feedback and willing to adopt better ideas Thrives in a high-energy startup setting How we work Decisions are made quickly; perfection is not the goal Products and processes ship regularly, not just quarterly Iteration happens after shipping, not after long review cycles High intensity during launches, with a steady pace year-round Transparent decision-making; no closed-door policies Internal competition is encouraged to raise standards This is a hands-on role for builders who want to make things happen. Behaviors that don’t fit Office politics, gossip, or avoiding responsibility Taking direct feedback personally instead of constructively Adding unnecessary overhead instead of streamlining Missing deadlines after committing to them Application process Send links to your GitHub, personal website, live projects, or shipped products CVs are not accepted Email applications to: sergio@corgi.com Evidence of shipped work is required for consideration Location and compensation Role is based in London; on-site or hybrid arrangements available Base salary: £75,000–£140,000, plus equity Salary band reflects proven shipping ability, not job titles

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.

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.

Salary: £150,000 – £170,000Equity: 0.7% - 1.2%This position is in-person with flexible remote workdays.European visa sponsorship is available.About AuroraAurora is redefining the lifestyle operating system for top-performing individuals and organizations worldwide. Our clientele includes elite founders, executives, professional athletes, and families managing intricate and ongoing needs across travel, health, dining, and premium goods.Our platform is conversational, proactive, and accessible 24/7 globally, making it a vital tool for members who engage with it multiple times daily for crucial, time-sensitive decisions. The quality of our product, the soundness of our judgment, and the efficiency of our systems are instantly visible to our customers.The market for agentified premium lifestyle commerce exceeds $10 billion, with traditional concierge services often hampered by disjointed CRM systems and manual processes that lack scalability. Aurora integrates automation, AI agents, and expert human curators into a unified system, engineered for speed, precision, and impact.We have achieved remarkable early success:51% daily active users, 95% weekly active usersTransaction volume and member spending have surpassed industry benchmarks by 5x within the first three monthsBacked by Alex Macdonald, a leading figure in this domain, we have:Secured over $5 million in funding from seasoned operators and top-tier investorsDeveloped a product that boasts industry-leading engagement from paying membersAccumulated a substantial, proprietary dataset of user context (preferences, calendars, health signals) that fuels our proactive AI capabilitiesAs we scale our product and expand our member base, we are looking to grow our founding engineering team.Aurora operates from our offices in London, New York, and Los Angeles. Our engineering team primarily collaborates from our London office in Belgravia, with options for flexible remote work.

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.

Join Beamery as a Staff EngineerAt Beamery, we are at the forefront of revolutionizing the HR technology landscape with our transformative AI platform. Our mission is to empower enterprise organizations to make equitable and informed talent decisions, streamlining their recruitment processes, enhancing internal mobility, fostering effective upskilling, and optimizing workforce planning. With our innovative solutions, we assist clients in hiring and redeploying over one million individuals each year.Why Join Us?This is an exciting time to be part of our team as we work towards enhancing our native integrations with industry giants like SAP, Workday, Microsoft, and LinkedIn. We're embedding our cutting-edge skills intelligence into critical workforce decision-making platforms and leveraging our advanced AI capabilities to enable smarter planning for the future. Additionally, our proprietary LLMs and knowledge graph technologies are designed to help organizations tap into diverse talent pools and promote fair decision-making at scale.We pride ourselves on our unique company culture founded on trust, empathy, and transparency, allowing our team members to bring their authentic selves to work.The RoleAs a Staff Engineer in our Sourcing and Recruiting team, you will play a pivotal role in enhancing Beamery’s core CRM experience. Collaborating closely with various business units, you will ensure a smooth sourcing and hiring workflow focused on achieving high-quality candidate matches and effective vacancy calibration.Our Technology Stack: TypeScript, React, Kubernetes, Istio, PostgreSQL, MongoDB, Redis.We seek a skilled Staff Engineer to technically lead a high-performing autonomous product team. You will align with the company’s strategic goals while guiding projects from discovery to production.In this role, you will provide technical mentorship to fellow engineers and actively contribute to elevating engineering standards across the business through collaboration with other Staff and Principal Engineers.

About WexlerWexler is at the forefront of developing an unparalleled AI system tailored for litigation. Collaborating with some of the largest law firms globally, we assist them in navigating their most intricate cases, identifying winning strategies, and distilling clarity from the often overwhelming array of documents and facts. Based in London, we are a rapidly expanding legal AI company, trusted by firms like Clifford Chance, HSFKramer, Goodwin, and Addleshaw Goddard to uncover critical insights that can significantly impact case outcomes.Supported by a $5.3M Seed funding from Pear VC, Seedcamp, The LegalTechFund, and several prominent industry angels, we are committed to building a comprehensive AI platform designed to manage, resolve, and preempt legal disputes for enterprise law firms and Fortune 500 companies. Our growth trajectory of 10x year-over-year and the continuous acquisition of prestigious firms speaks to our success. Our innovative system efficiently extracts objective, cross-referenced facts from millions of documents, empowering litigators to secure more victories while conserving invaluable time. This ensures that every client receives the exceptional representation they rightfully deserve.At Wexler, we understand that AI is revolutionizing the legal landscape, yet many existing tools tend to focus on contract law or serve as generalist copilots. We pride ourselves on being the leading generative AI platform specifically crafted for the intricacies of litigation, a fact underscored by our remarkable growth.About the RoleAs our inaugural dedicated security engineer, you will play a pivotal role in establishing and managing the bedrock of Wexler's security framework, encompassing infrastructure, product, and compliance. Your collaboration with engineering, operations, and leadership teams will be essential to not only enhance our security measures but also to provide tangible proof of our commitment to security for our clients.Responsibilities:Take charge of current security tools and introduce new solutions (e.g., endpoint protection, MDM, access controls), ensuring their effective configuration, maintenance, and scalability as the organization expands.Integrate secure-by-design practices throughout the development lifecycle, from secure coding and threat modeling to design reviews and CI/CD hardening.Monitor systems for any anomalies and proactively design detection and prevention mechanisms.Ensure that infrastructure and applications comply with accepted industry standards (e.g., OWASP Top 10, AWS Well-Architected Framework).Conduct and lead risk assessments, including evaluations of third-party vendors and internal processes.

Join us at tracebit, where we empower security teams to swiftly and accurately identify intrusions within their cloud environments. Our innovative product utilizes deceptive canaries—virtual tripwires designed to mislead potential attackers.This is an exhilarating moment to become a part of our founding team:We are supported by top-tier investors including Accel and Tapestry.Our growth trajectory is remarkable; we doubled our Annual Recurring Revenue (ARR) last quarter and have secured major clients like Riot Games, Synthesia, Docker, Coveo, and Snyk, along with several others who we can’t publicly disclose.As one of the most promising startups in the UK, we have received outstanding market feedback and are poised for explosive expansion.We are frequently featured in esteemed startup rankings...Creandum’s Euro Seed Top 50 List, Sifted’s 2025 London Startups To Watch, Notion’s Cloud Top 100, and more.Our research has recently played a crucial role in resolving a critical security vulnerability in Google’s Gemini CLI.Having started with just 2 employees 18 months ago, we have expanded to 18 and plan to triple our team in the coming year.We are addressing substantial challenges for discerning organizations. Our streamlined tech stack empowers us to process billions of events weekly while maintaining robust security.

Corgi Insurance is an AI-driven insurance provider designed for tech startups. Backed by $108 million in funding and operating as a fully licensed carrier, the company is growing its London office and launching new entities across the EU and UK. Role overview The Founding Operator, based in London, works side by side with the VP of Operations and senior leaders. This role brings broad exposure to the business, with hands-on involvement in Corgi’s rapid expansion throughout Europe. What you will do Organize and manage daily operations, especially supporting EU market growth. Handle a variety of generalist tasks for both the London office and new entities. Take full ownership of assigned projects, meeting deadlines and escalating issues only when needed. Support operational needs for both the office and ongoing expansion efforts. What we look for High energy and drive to succeed in a startup environment. Comfort with ambiguity and willingness to take on a range of responsibilities. Ability to work without a set playbook and adapt quickly. Strong teamwork and open communication style. Work culture Quick decision-making and a bias for action over perfection. Intense periods of work balanced with steady effort during quieter times. Bring solutions with challenges; internal competition is encouraged. Behaviors that don’t fit Office politics or gossip. Taking feedback personally instead of constructively. Adding unnecessary complexity rather than streamlining processes. Location and compensation Role based in London, with on-site and hybrid work options. Compensation: £55,000 to £90,000 plus equity, rewarding ownership and initiative. How to apply Send a CV to sergio@corgi.com. Corgi Insurance welcomes applications from those who connect with this approach and environment.

eqltech is seeking a Founding Chief Technology Officer (CTO) to help shape and build an early-stage AI platform in London. This is a hands-on technical leadership role, working side by side with the founder to design and expand the company’s core technology from the ground up. The platform brings together modular workflow orchestration, an AI-powered domain assistant, and a sophisticated document intelligence layer. The aim: to turn fragmented, manual processes into streamlined, intelligent solutions for institutional finance clients. eqltech operates at the intersection of AI and finance, serving a high-value client base that lacks strong AI infrastructure today. With pre-seed funding secured and preparations underway for a seed round, the company offers a co-founder level structure to the right CTO. The CEO brings operational depth and strong client-side expertise to the partnership. What you will do Define and lead the technical strategy, architecture, and engineering execution for the platform Build and mentor a high-performing engineering team from the ground up Oversee development of workflow orchestration, document intelligence, large language model (LLM) integration, and data pipelines Work closely with the CEO to translate client needs into actionable product features Represent technology as a co-founder, collaborating with clients, partners, and investors as the company grows

fuku is looking for a Founding Recruiter based in London. This position plays a key part in shaping the company’s early team and long-term direction. What you will do Identify and engage candidates who can drive fuku’s growth Guide the hiring process from sourcing through to offer Work closely with founders and early team members to define hiring needs Impact This role focuses on building the team from the ground up. Early hires will help set the culture and pace for the company’s future. Location This position is based in London, England, United Kingdom.

9fin is looking for a Staff Engineer to join the team in London. This position centers on building scalable systems and advancing the company’s financial data analytics platform. Staff Engineers at 9fin help set technical direction and have a direct impact on product quality. Role overview This role involves both hands-on engineering and collaboration with peers. The work supports evolving data and user needs, with a focus on reliability and performance. What you will do Design and develop systems that handle increasing data volumes and user demands Collaborate with fellow engineers to strengthen analytics features Offer input that shapes product features and influences the customer experience Location This is an on-site role 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 ....

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.

About OLIXAt OLIX, we are at the forefront of the AI revolution, tackling the unprecedented demand for advanced computational capabilities. As the industry faces a significant infrastructure gap, we are redefining the hardware landscape with our revolutionary Optical Tensor Processing Unit (OTPU). This innovative technology promises unmatched performance and energy efficiency, setting the stage for the economic opportunities of the next century.Role OverviewJoin us as a Staff Engineer in Hardware Integration, where you will be the leading technical authority in your team, specializing in hardware-software integration across a critical segment of the OTPU stack. Your expertise will guide projects from pre-silicon design to post-silicon validation and sustainment engineering.We seek an experienced engineer who can set the technical vision for the team and tackle the most challenging engineering issues. Collaborating with the Engineering Manager, you will translate strategic priorities into actionable plans, drive technical decisions, and ensure the creation of reliable, maintainable solutions. Your hands-on expertise, sound engineering judgment, and influence through high-quality work will be pivotal to our success.Key ResponsibilitiesLead Technical Direction. Collaborate with the Engineering Manager to establish the technical focus for your team and take ownership of architectural decisions that influence the team's development and operational processes.Translate Priorities into Action. Partner with the Engineering Manager to decompose complex technical challenges into specific, implementable plans, ensuring the team is aligned on building effective solutions.Uphold Technical Excellence. Define the principles, interface agreements, and standards for the team—be it in firmware interfaces, ASIC validation methods, or interconnect fabric integration—ensuring consistent application across projects.Make Informed Technical Decisions. Own critical decision-making within your domain, which may include BSP and firmware architecture, ASIC validation approaches, or BMC platform design.Foster Team Alignment. Cultivate a shared understanding among engineers by ensuring clarity and rigor in technical discussions, facilitating well-reasoned decisions.

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.