Senior AI Engineer at Causaly | London

Established in 2018, Causaly is at the forefront of transforming enterprise-level scientific research through its innovative AI platform. Our technology empowers researchers to efficiently discover, visualize, and interpret extensive biomedical knowledge while automating essential research workflows, thereby hastening the development of solutions for critical health challenges.We collaborate with some of the largest biopharma companies and prestigious institutions, addressing diverse use cases that encompass Drug Discovery, Safety, and Competitive Intelligence. To learn more about how we enhance knowledge acquisition and decision-making processes, visit our blog: Blog - Causaly.We are proudly supported by renowned venture capital firms including ICONIQ, Index Ventures, Pentech, and Marathon.About the TeamWe are seeking talented AI Engineers to join our mission of revolutionizing research outcomes in biomedical sciences. Our team leverages generative AI and intelligent agents to assist scientists in uncovering novel insights and connections from biomedical literature and datasets.Enhancing the research experience is more than just adopting the latest LLM model; it requires building trust with our users through the integration of effective guardrails, rigorous biomedical curation, consistent update cycles, and robust deployment practices. This approach ensures that our platform serves as a comprehensive resource for researchers.We are in search of AI Engineers who are passionate about applying AI to transform how biomedical professionals conduct their research and daily inquiries.Your Responsibilities· Design and implement end-to-end ML/AI solutions, from conceptualization and data exploration to deployment and monitoring, striking a balance between cutting-edge techniques and practical application to deliver tangible results.· Employ strong software engineering principles such as modularity, testing, code reviews, CI/CD, and observability to ensure AI systems are dependable, maintainable, production-ready, and adaptable to future advancements.· Evaluate various approaches including classical ML, NLP techniques, LLM-based solutions, and agentic solutions to determine the best fit for the problem at hand, considering trade-offs related to speed, cost, complexity, interpretability, and performance.· Collaborate closely with product, design, and engineering teams to define project scope, align on success metrics, and iteratively enhance user-facing features powered by AI.

Founded in 2018, Causaly is at the forefront of transforming enterprise-scale scientific research through our innovative AI platform. Our technology empowers researchers to efficiently discover, visualize, and interpret biomedical knowledge, streamlining critical research workflows to tackle some of the most pressing health challenges of our time.We partner with leading biopharma companies and institutions, focusing on diverse use cases including Drug Discovery, Safety, and Competitive Intelligence. Visit our blog to learn how we enhance knowledge acquisition and decision-making: Blog - CausalyCausaly is proudly backed by renowned venture capital firms, including ICONIQ, Index Ventures, Pentech, and Marathon.

Causaly develops an AI-powered platform designed to help researchers and decision-makers in biomedicine quickly find and interpret evidence from scientific publications, clinical trials, regulatory documents, and complex data sources. The company’s mission centers on building a high-precision Knowledge Graph and applying generative AI to advance biomedical knowledge. Leading biopharmaceutical organizations use Causaly’s technology to accelerate drug discovery, improve safety, and support informed decisions. With backing from investors such as ICONIQ, Index Ventures, Pentech, and Marathon, Causaly continues to expand its product offerings and market reach. Role overview The Senior Security Engineer position at Causaly is based in London and offers the chance to shape the company’s security strategy and processes. This role provides significant autonomy and involves working closely with the security team, as well as collaborating across engineering and product groups. The Security Engineer will take ownership of vulnerability management, advise teams on security matters, and support SecOps activities. Expect to define strategies, build and refine processes, and serve as a trusted advisor throughout the engineering organization. Key responsibilities Lead the vulnerability management program: set strategy, select tools, prioritize work, and track remediation for dependencies, containers, and cloud infrastructure. Develop and maintain a dependency security strategy, including policies for third-party library use and update schedules. Integrate and manage security tools within CI/CD pipelines, such as SAST, SCA, secrets detection, and container scanning. Act as a security consultant for product and engineering teams, supporting design reviews, architecture decisions, and secure coding practices. Define and maintain security standards and guidelines that are practical for development teams. Oversee and improve the Security Champions program to build security awareness and skills across engineering teams. Support SecOps with incident triage and response, providing security engineering expertise when needed.

About Us:Causaly is revolutionizing the way knowledge is acquired and insights are developed in the realm of biomedicine. Our cutting-edge AI-driven platform empowers researchers and decision-makers to swiftly discover and interpret evidence from millions of scientific publications, clinical trials, regulatory documents, and other intricate data sources within minutes.We are committed to building the world’s most sophisticated biomedical knowledge platform, utilizing a high-precision Knowledge Graph and advanced GenAI capabilities. Our technology is already being leveraged by leading biopharmaceutical firms to expedite drug discovery, enhance safety, and facilitate superior decision-making.Supported by prestigious investors such as ICONIQ, Index Ventures, Pentech, and Marathon, we are experiencing rapid growth and expanding our product offerings and market reach.The RoleWe are on the lookout for a Senior Product Designer to join our dynamic and impactful Product Design team. This individual will take charge of crafting and enhancing the user experience of our AI platform tailored for the life sciences sector.In this senior individual contributor role, you will be integrated within a cross-functional team, concentrating on agent-driven research workflows and AI-enhanced user experiences for our clientele.You will oversee the complete design process from discovery to delivery, determining how users engage with complex, intelligent, evidence-based systems in intuitive, reliable, and high-impact manners.This position transcends conventional product design; you will be designing systems, workflows, and behaviors, influencing how humans collaborate with AI in scientific and expert domains.What You’ll Be DoingProduct and Experience DesignLead the end-to-end design process of product experiences from initial discovery to final delivery.Design AI-centric workflows and agent-driven experiences, converting intricate capabilities into user-friendly interactions.Define system behaviors, states, and flows rather than just focusing on screens.Rapidly prototype across various fidelity levels using AI and coding agents to explore and validate concepts.Discovery and Problem DefinitionLead product discovery initiatives, framing challenges and pinpointing high-impact opportunities.Conduct user research and usability testing to guide design decisions.

Established in 2018, Causaly is revolutionizing the realm of enterprise-scale scientific research through our state-of-the-art AI platform. We empower researchers with innovative tools to discover, visualize, and interpret biomedical knowledge, streamlining critical research workflows to accelerate solutions for pressing health challenges.Partnering with some of the largest biopharma companies globally, we tackle diverse use cases, from Drug Discovery to Safety and Competitive Intelligence. Discover how we enhance knowledge acquisition and decision-making by exploring our insights on our blog: Blog - CausalySupported by prestigious investors like ICONIQ, Index Ventures, Pentech, and Marathon, we are on the lookout for a dynamic and technically curious Go-To-Market Engineer to help us design and develop a cutting-edge, AI-native go-to-market engine at Causaly.Unlike traditional RevOps roles, we seek a visionary builder who thrives on experimentation and automation. You will craft solutions that seamlessly integrate tools, data, and workflows to directly support our revenue teams. While HubSpot will be your starting point, the role will expand to encompass enrichment, outbound automation, AI tools, and the broader GTM technology ecosystem.This opportunity is perfect for those early in their careers who are eager to learn, comfortable with uncertainty, and driven by rapid improvement rather than perfection.Key Responsibilities:Develop and Manage GTM SystemsTake ownership of HubSpot as our primary GTM platform, managing pipelines, properties, workflows, routing, sequences, and reporting.Enhance data quality and reliability through automation, validation, and enrichment processes.Continuously streamline and refine GTM processes as the business scales.Automate and Operate AI-driven SystemsCreate and implement event-based and trigger-based workflows (e.g., funding events, organizational changes, intent signals).Develop and iterate on enrichment and outbound workflows using tools such as Clay and similar platforms.

Join Lendable’s MissionLendable is dedicated to revolutionizing the credit landscape by creating cutting-edge technology that empowers individuals to access credit and save money effectively. As one of the UK’s newest unicorns, we are rapidly establishing ourselves among the fastest-growing fintech companies.With a dynamic team of over 700 professionals, we have been profitable since 2017 and are supported by esteemed investors including Balderton Capital and Goldman Sachs. Our customer satisfaction speaks volumes, boasting a remarkable rating of 4.9 from tens of thousands of reviews on Trustpilot.Having successfully reconstructed the Big Three consumer finance products—loans, credit cards, and car finance—we are committed to providing our customers with quick access to funds. Our vision extends to expanding into major markets like the UK and US, targeting outdated banking systems and improving user experiences.Why You Should Join UsOwnership: Take charge from day one and influence Lendable’s trajectory.Exceptional Teams: Collaborate with a small group of innovative individuals dedicated to solving complex challenges and improving existing solutions.In-House Technology: Develop top-tier technology using machine learning and AI to optimize processes and enhance efficiency.Role OverviewWe are in search of a hands-on AI Engineer to bolster our Internal Automation team. Your role will focus on enhancing the efficiency of various internal teams, including Finance, Compliance, Product, and QA, through the development of AI-driven tools and automated workflows. Working within a compact team of four engineers and one project manager, you will play a vital role in streamlining operations, minimizing friction, and allowing colleagues to devote more time to high-priority tasks.

Join us as a Senior AI FullStack Engineer at a rapidly expanding AI FinTech company, where your expertise will help shape the future of finance.About Us:We develop and deploy AI-powered tools and intelligent agents throughout their entire lifecycle, from conception to production.Our systems are designed with AI at their core, not as an afterthought.Transform experimental concepts into production-ready features that impact real users.Take ownership of projects from problem identification to user adoption.Collaborate closely with engineering and product teams to seamlessly integrate AI into daily operations.Establish effective methodologies for implementing AI in production environments.We are on a mission to create an AI-native bank tailored for ambitious businesses.Your Contribution:Train and refine large-scale audio and multimodal models.Design and execute experiments focused on architecture, data mixtures, and training strategies.Develop and enhance audio data pipelines.Optimize inference speed, latency, and overall production readiness.Deploy models in end-to-end, low-latency settings.Create meaningful evaluation metrics that go beyond standard benchmark scores.Work collaboratively with both research and engineering teams.This role is hands-on, bridging the gap between research and real-world application.Technical Environment:PythonLarge Language Models (LLMs) and AI toolsPostgreSQL, BigQueryTypeScript, ReactAWS, GCPDocker, Terraform, GitHub(Detailed technical stack will be shared during the interview process)Your Expertise:5+ years of experience in building and deploying production systems.Full-stack or deep backend/platform engineering skills.AI-native mindset: you leverage AI in your daily work and think in terms of agents, workflows, and automation.Product-focused: your priority is user adoption over mere output.You excel at transforming complex challenges into scalable solutions.Bonus Skills:Experience in financial technology.Familiarity with cloud services and infrastructure.Contributions to open-source projects.

About LendableLendable is dedicated to creating cutting-edge technology that empowers individuals to secure credit and save money effectively. As one of the UK’s newest unicorns, our dynamic team of over 700 is driving growth in the fintech sector:Recognized as one of the fastest-growing tech companies in the UK.Achieved profitability since 2017.Supported by prominent investors, including Balderton Capital and Goldman Sachs.Highly rated by customers, boasting an impressive 4.9 rating across thousands of reviews on Trustpilot.To date, we have reimagined three major consumer finance products: loans, credit cards, and car finance. Our commitment is to deliver funds to our customers within minutes, rather than days.As we expand, we are targeting the two largest Western markets (the UK and US), where vast amounts of financial products are still managed by traditional banks with outdated systems and cumbersome processes.Join Us If You Want ToTake ownership of a broad scope of responsibilities, making impactful decisions that shape the future of Lendable from day one.Collaborate with a small team of exceptional individuals who are resourceful and innovative in solving problems and challenging the status quo.Develop top-tier technology in-house, utilizing new data sources, machine learning, and AI to automate and optimize processes.About the RoleWe are seeking a proactive AI Engineer to join our Internal Automation team at Lendable, aimed at enhancing operational efficiency across the organization.Your mission will be to empower internal teams—from Finance and Compliance to Product and QA—by creating AI-driven tools, integrations, and automated workflows. You will work closely with a compact team (4 engineers, 1 PM) focused on reducing friction, automating monotonous tasks, and allowing colleagues to dedicate more time to high-value activities.

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.

Join StackOne:At StackOne, we are pioneering the future of SaaS and AI integrations. Supported by GV and Workday Ventures with $24M in funding, we empower developers of SaaS platforms and AI Agents to seamlessly integrate with a multitude of tools, enhancing functionality with scalable and precise solutions. Our platform boasts 25,000 pre-mapped actions across 200 connectors, alongside an AI-driven integration development toolkit that emphasizes security: featuring real-time architecture, managed authentication, and comprehensive observability.Join us on our ambitious journey towards revolutionizing agentic integrations.With an AI-native integration toolkit that ensures real-time execution and robust security measures, we are heavily investing in AI R&D. Our new lab focuses on developing specialized LLMs that excel in precision, reliability, and safety - crucial components for effective agentic execution.Your Role:As an AI Engineer, you will play a pivotal role in enabling users to integrate their preferred tools effortlessly with just one click, thanks to StackOne's innovative solutions.We seek a skilled Software Engineer with a solid foundation in AI production-grade applications, particularly with experience in working with LLMs (e.g., GPT, Anthropic, etc.).In this position, you will be responsible for delivering AI features and products throughout their lifecycle, collaborating closely with our dedicated AI team, which includes both AI researchers and engineers. You will report directly to the CTO.

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.

Join Our Mission to Empower the UK’s Small Businesses! At Funding Circle, we believe small businesses are the backbone of the economy, and we’re dedicated to helping them thrive. Our innovative platform leverages advanced data analytics to provide essential funding in mere minutes, not weeks.As a dynamic fintech company with the strength of a public enterprise, we offer a unique environment that empowers our team members, known as Circlers, to take ownership of their work while making a significant impact.We pride ourselves on our high-performing culture where collaboration and support are paramount. Together, we challenge each other, celebrate successes, and ensure that we’re always moving forward, building better solutions for our customers.Your Impact Matters: In the past year, businesses utilizing our platform generated an impressive £7.2 billion for the UK economy Be a part of something that truly matters![Explore our Impact Report] | [Check our Trustpilot Reviews]What We’re SeekingWe are on the lookout for a talented Senior AI Engineer who possesses a strong background in full-stack development and a keen interest in artificial intelligence. Although some professional experience in AI/ML is necessary, this role is ideal for a senior engineer eager to delve into the AI/ML sector and develop cutting-edge applications.Data is at the heart of our mission to create a more equitable financial landscape, and we believe everyone in our organization plays a vital role in safeguarding this asset to better serve our customers.Our central data team operates within our Tech organization and reports to the VP of Data. To enhance our data maturity and foster a truly data-driven culture, we are committed to:Fostering a robust data culture where data is viewed as a valuable assetEmpowering our Circlers to become proficiently data-fluent usersEnhancing our world-class data platformCreating innovative data products across various domainsTransforming our business through machine learning and artificial intelligence

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 WexlerWexler is at the forefront of developing a revolutionary AI system tailored for litigation. We collaborate with some of the largest law firms globally, assisting them in navigating their most intricate legal battles, uncovering winning strategies, and transforming the overwhelming influx of documents and facts into actionable insights. Located in London, Wexler is a rapidly expanding legal AI company trusted by renowned firms such as Clifford Chance, HSFKramer, Goodwin, and Addleshaw Goddard to pinpoint crucial facts that can sway case outcomes.Backed by a $5.3M Seed round from Pear VC, Seedcamp, The LegalTechFund, and a host of esteemed industry angels, we are developing a comprehensive AI platform aimed at managing, resolving, and preventing legal disputes for Enterprise law firms and Fortune 500 companies. Our growth trajectory is remarkable, boasting a 10x year-over-year increase and onboarding more distinguished firms each month. Our innovative system efficiently extracts and cross-references facts from millions of documents, empowering litigators to secure more victories while significantly reducing the time spent on case preparation. Ultimately, we ensure that every client receives the legal representation they rightfully deserve.As AI reshapes the legal landscape, most existing tools have concentrated on contract law or serve as generic copilots across various legal tasks. In contrast, Wexler stands out as the premier generative AI platform meticulously designed for the intricacies of litigation, evidenced by our rapid growth and industry acceptance.About the RoleWe are in search of a talented AI Engineer to help redefine the future of legal practice. You will play a crucial role in building autonomous systems that analyze vast amounts of documents to extract pivotal factual information essential for winning legal cases. As an integral member of our team, you will have direct influence over our AI strategy, leveraging cutting-edge technology to address the real challenges faced by elite litigators.

Join Edra as an AI EngineerAt Edra, we are tackling one of the most challenging issues in enterprise AI: the mismatch between generic AI models and specific company processes. We are developing AI agents that learn to navigate and execute processes as they truly operate.As a Series A startup, supported by Sequoia and other notable venture capital firms, we are expanding our teams in New York and London. Our workforce is composed of exceptionally skilled engineers, AI researchers, and strategists who believe that outstanding talent is the cornerstone of our success.Your RoleYou will be instrumental in creating a learning system that equips AI agents with the knowledge of how enterprises function. This system will assimilate knowledge bases, dialogues, tickets, and system logs, generating written directives that agents can confidently execute, including a scoring mechanism to determine when to automate tasks or request human intervention.We seek AI Engineers with a track record of building intricate, production-ready LLM-based systems. If you've scaled LLM workflows to manage millions of requests, developed multi-agent systems in live environments, or created evaluation frameworks for enterprise applications, we want you. Your contributions will directly impact our core learning library, and you will ship features that serve actual enterprise customers while enhancing the platform. This role covers continuous learning systems, agentic features, human-in-the-loop feedback mechanisms, and orchestration of AI agents.Your ResponsibilitiesContribute to our core context learning library by implementing new learning capabilities and generalizing them for broader platform use.Design and execute LLM-powered systems and workflows from initial concept to production.Collaborate with enterprise customers to identify issues, prototype solutions, and bring them to production.Develop agentic features for knowledge management, enabling agents to autonomously edit, update, and maintain extensive knowledge bases.Establish reliability and confidence systems, including evaluation frameworks and logic for determining when to automate versus when to escalate to human oversight.Architect asynchronous, scalable systems for complex AI orchestration.Influence the direction of our AI strategy and product capabilities.

Join Distyl AIAt Distyl AI, we are revolutionizing the landscape of applied artificial intelligence. As a pioneering technology company, we collaborate with leading institutions across sectors such as telecommunications, healthcare, insurance, manufacturing, and consumer goods. Our mission is to redefine operational processes through innovative AI-driven solutions.Our extensive research and deployment initiatives focus on creating AI-native systems that enhance efficiency and effectiveness. Our groundbreaking technologies support massive operational frameworks, impacting millions of consumer interactions and vital workflows globally.With backing from top-tier investors including Lightspeed Venture Partners and Khosla Ventures, Distyl AI boasts a remarkable track record of 100% success in production deployments, making us one of the few profitable enterprises in the AI domain.Your RoleWe are excited to announce the opening of our London office and are in search of talented AI Engineers to architect and implement production-grade AI systems harnessing the power of Large Language Models (LLMs).As an AI Engineer, you will collaborate with Fortune 500 clients to streamline intricate workflows using state-of-the-art AI technologies. You will design and launch AI applications that operate on a large scale in critical environments, from intelligent agents to comprehensive AI solutions.This position is highly hands-on, requiring close collaboration with clients to define system architectures and develop reliable, impactful AI systems from initial prototypes to full-scale production. You will also play a pivotal role in shaping technical strategies across key customer projects, guiding enterprise teams through the intricacies of AI adoption.

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

Corgi is an insurance carrier designed for tech startups, using AI to make underwriting and operations more efficient. With $108 million in funding and full licensing, Corgi is expanding into the UK and EU. The core platform runs on Django and uses Stripe for payments, blending strong engineering with insurance expertise. Role overview This Senior Backend Engineer role is based in London. The position centers on building and deploying products, often independently and without a fixed roadmap. Engineers who have shipped live projects, whether through side work, weekend builds, or prior roles, are especially valued. Key responsibilities Independently design, build, and launch backend systems and features. Turn ideas into production-ready products within tight timelines. Work with a Django-based stack, integrating Stripe and AI-driven workflows. Adapt to new technical challenges as the company grows. What Corgi looks for Proven ability to build and ship impactful projects independently. Comfort working at a startup pace, delivering results in hours or days. Ability to work across the stack and solve a range of technical problems. Strong opinions paired with openness to feedback and new ideas. Focus on outcomes and results rather than titles or hierarchy. High energy, collaborative spirit, and humility. How work happens at Corgi Quick decision-making, prioritizing action over waiting for perfect solutions. Products and improvements ship regularly, not just on a set schedule. Iterative development is preferred over long review cycles. Momentum is maintained even outside of major launches. Transparency is standard; decisions are made openly. Internal competition is encouraged to raise standards for everyone. This is a hands-on position for engineers who want to build and make an impact. Behaviors that lead to removal Office politics, blame-shifting, or gossip. Taking feedback personally rather than constructively. Introducing unnecessary bureaucracy. Missing deadlines after making commitments. How to apply Send links to your GitHub, personal website, or live projects you have shipped. CVs are not required. Email applications to: sergio@corgi.com Evidence of shipped work is required. Location and compensation London-based role, with on-site or hybrid options. Salary range: £75,000 to £140,000, plus equity. Salary depends on demonstrated ability to ship, not job title.

Who We AreLightning AI is the innovative force behind PyTorch Lightning, established in 2019. We provide a comprehensive platform designed to streamline the development, training, and deployment of AI systems, effectively bridging the gap between research and production.Our merger with Voltage Park, a neocloud and AI Factory, empowers us to combine developer-centric software solutions with economical, large-scale computing capabilities. We equip teams with essential tools for experimentation, training, and production inference, ensuring built-in security, observability, and control.We cater to solo researchers, startups, and large enterprises alike, operating globally with offices in cities such as New York City, San Francisco, Seattle, and London. Our efforts are supported by notable investors including Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.What We’re Looking ForWe are seeking a skilled Backend Engineer to develop and enhance the Lightning AI platform across various components, from the frontend and CLI to API, billing, security, and integrations. You will take full ownership of key features, driving development from concept to production while collaborating with a talented team of engineers, product managers, and designers. This role offers the chance to create groundbreaking technology that will revolutionize the machine-learning ecosystem!This hybrid position is based in our London office with a requirement of 2 in-office days per week. The salary range for this role is $120,000 - $250,000.