Full Stack Product Engineer

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.

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.

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.

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.

About UsLightning AI, the driving force behind PyTorch Lightning, was established in 2019. Our mission is to create a seamless, end-to-end platform that simplifies the development, training, and deployment of AI systems, allowing innovative ideas to transition smoothly from research to production.Following our merger with Voltage Park—an AI Factory and neocloud—Lightning AI merges developer-centric software with efficient, large-scale computation. Our platform provides teams with the essential tools for experimentation, training, and production inference, all while ensuring security, observability, and control.We cater to a diverse clientele, including individual researchers, startups, and major enterprises. With a global presence and offices in New York City, San Francisco, Seattle, and London, Lightning AI is supported by esteemed investors such as Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.Our Core ValuesMove Fast: We prioritize speed and precision, breaking down complex challenges into manageable tasks.Focus: We dedicate ourselves to completing one goal at a time, collaborating effectively to deliver precise features.Balance: We believe sustained performance results from adequate rest and recovery, promoting a healthy work-life balance.Craftsmanship: Innovation through excellence—every detail counts, and we take pride in honing our craft.Minimal: We embrace simplicity as a driver of innovation, focusing on what truly matters.Your RoleWe are seeking a skilled Frontend Engineer to enhance and scale the UI and frontend infrastructure of the Lightning AI platform.In this role, you will take ownership of crucial features, driving development from concept to completion while collaborating with a talented team of engineers, product managers, and designers. Your work will focus on ensuring speed, quality, and rapid iteration—from initial proof of concept to final release.With over 10,000 organizations utilizing Lightning AI, this position offers you a unique opportunity to influence how AI solutions are built and deployed in production environments.You will be part of the Growth Squad and report directly to our Director of Engineering. This hybrid role is based in our London office, requiring in-office attendance for 2 days each week.

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.

Role Overview airapps is hiring an AI/ML Engineer for its London Metropolitan Area team. This position focuses on designing, building, and deploying advanced artificial intelligence and machine learning models that support and improve core products. What You Will Do Work closely with colleagues from various disciplines to deliver AI-driven solutions Develop and implement machine learning algorithms tailored to business needs Contribute technical expertise to strengthen and expand product features Location This role is based in the London Metropolitan Area.

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.

At Swap, we are revolutionizing the landscape of agentic commerce with our cutting-edge AI-native platform that seamlessly integrates backend operations with innovative storefront experiences.Designed for brands aiming to sell anything, anywhere, Swap centralizes global operations and enhances intelligent workflows, enabling margin-protecting decisions through real-time data insights. Our diverse product offerings encompass cross-border transactions, tax solutions, returns management, demand planning, and a next-generation storefront that equips merchants with full transparency and confidence.We are committed to fostering a culture that prioritizes clarity, creativity, and shared ownership as we redefine the future of global commerce.About the RoleWe are on the lookout for a dynamic Lead AI Engineer to spearhead the development of scalable conversational and autonomous AI agents within the e-commerce sector. In this pivotal role, you will be responsible for the architecture and technical direction of our agent platform, creating production-ready systems capable of managing high-volume agent workloads using modern JavaScript and Python frameworks. As a key member of the team, you will set engineering standards, shape platform architecture, and mentor fellow engineers while collaborating closely with product and design teams to bring intelligent agent experiences to fruition.

AI Engineer - Forward Deployed Engineer (All Levels) Req ID: CSQ426R186 Our Mission The AI Forward Deployed Engineering (AI FDE) team at Databricks is a specialized, customer-centric group focused on delivering exceptional AI solutions. We engage with our clients to develop and implement innovative AI applications that are cutting-edge and tailored to their unique needs. Our collaborative environment allows us to work closely with engineering, product management, and developer relations, as well as support our internal subject matter experts. We seek passionate individuals who thrive on customer interaction, teamwork, and a desire to stay ahead of the latest trends in Generative AI, LLMOps, and machine learning. Your Impact Design and develop groundbreaking Generative AI solutions utilizing the latest advancements from our Mosaic AI research to address client challenges. Lead the deployment of consumer-facing and internal Generative AI applications into production. Act as a trusted technical consultant to clients across various industries. Represent Databricks as a thought leader at industry events such as the Data + AI Summit. Work collaboratively with product and engineering teams to shape strategic priorities and influence the product roadmap. What We Value in You Proven experience in developing Generative AI applications, including retrieval-augmented generation (RAG), multi-agent systems, Text2SQL, and fine-tuning, with tools such as HuggingFace, LangChain, and DSPy. Strong background in deploying production-grade Generative AI applications, including evaluation and optimization techniques. Several years of hands-on experience in data science, utilizing common tools such as pandas, scikit-learn, and PyTorch. Experience in building scalable machine learning deployments on cloud platforms like AWS, Azure, or GCP. A graduate degree in a quantitative field (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience. Ability to communicate and teach technical concepts effectively to both technical and non-technical audiences. A genuine passion for collaboration, continuous learning, and leveraging AI to drive business success. [Preferred] Familiarity with the Databricks Intelligence Platform and Apache Spark™ for processing large-scale distributed datasets.

Hello from Team Granola! If you haven't yet, be sure to explore what we are creating, and discover why joining us is a great choice.We are in search of a proactive AI Engineer who is passionate about leveraging the latest advancements in Large Language Models (LLMs) to design and develop user-centric products.In this pivotal role, you will keep abreast of the latest LLM trends, build robust evaluation frameworks for AI features, and apply your expertise with a focus on product outcomes. As a key member of our founding team, you will engage directly with users to understand their challenges and swiftly develop features that provide substantial value. Your contributions will be crucial in driving Granola towards a significant growth milestone.Key Responsibilities:Lead the end-to-end development and implementation of LLM-based features.Establish and manage evaluation frameworks for prompt iteration and semantic retrieval.Enhance embeddings and vector stores for optimal performance and scalability.Engage with users to identify their needs and devise effective solutions.Stay informed on emerging trends in LLMs and applied AI methodologies.Collaborate with a diverse team of engineers, product managers, designers, and other stakeholders to develop a cutting-edge product.Qualifications:Proven engineering experience in tech and product-focused organizations.Experience in deploying multi-provider LLM-based solutions in production (e.g., OpenAI, Anthropic, Google).Proficiency with LLM infrastructure platforms (prompt management, logging/tracing, evaluations).Experience in designing large-context LLM systems (RAG, knowledge graphs, hybrid search, memory).Expertise in building features end-to-end using TypeScript, React.js, and Node.js.Personal Attributes:Are primarily a builder with a passion for creating impactful solutions.Excited about working in-person at our London office (most of the time).Thrives in a startup environment, embracing challenges and opportunities.

Who We AreAt The Economist Group (TEG), we are dedicated to fostering progress and innovation across various sectors. Our commitment to independence and analytical rigor unites our diverse team, empowering individuals and organizations to address pressing global challenges. Through our four primary businesses—The Economist, Economist Impact, Economist Intelligence, and Economist Education—we provide world-class insights and analysis to clients and subscribers in 170 countries.As a global media and information services organization, we are passionate about equipping our audience with the knowledge and perspectives necessary to navigate change and facilitate growth.This full-time position is situated at the heart of our newly established AI Lab, a focused team investigating the transformative potential of generative AI in enhancing Economist journalism. In this role, you will concentrate on developing and optimizing LLM-powered systems, emphasizing editorial tone, style transfer, retrieval workflows, and multimodal generation, particularly in audio formats.Your work will directly impact how millions of readers engage with our journalism as you bring innovative ideas to fruition. If you thrive in a design-centric environment, enjoy rapid iteration, and are eager to create unique interactions across text, voice, and visuals, we encourage you to apply. You will collaborate closely with the Tech Lead, Design Lead, and Product Lead as one of the first three engineers in this dedicated lab.

About UsAt Tracer, we are pioneering the development of autonomous AI agents designed specifically for production data pipelines. As an early-stage, venture-backed startup, we are supported by seasoned professionals and investors who foresee AI's transformative impact on enterprise software over the coming decade. Our tight-knit team is comprised of senior experts who are keenly focused on execution and innovation. About the RoleWe are seeking a Lead AI Software Engineer to join our London team, responsible for creating and managing the core systems that convert production alerts into actionable root cause analyses (RCAs) and corrective suggestions. While the agent handles the heavy lifting, you will ensure that human oversight remains integral to production decisions.In this role, you will serve as the primary technical authority for our systems, collaborating closely with the founders and engaging in hands-on development. You’ll Love Our Tech StackPython + LangGraph (for multi-agentic alert investigation)Rust (to ensure speed and correctness)ClickHouse (to manage high-volume events and investigation histories)AWS + Terraform (for self-building infrastructure)Next.js + TypeScript (for dynamic front-end experiences) What You’ll DoIn this pivotal role, you will oversee the systems that transform alerts into thorough investigations and RCAs. Your responsibilities will include:Designing and building the core alert, investigation, and RCA pipeline using PythonCrafting and implementing essential systems, such as:Alert ingestion and normalizationContext enrichment and correlationProblem framing outputsHypothesis orchestration engineInvestigation execution runtimeInvestigation artifacts and reportingLeading crucial architectural decisions to ensure the system is observable, auditable, and reliable from day oneCollaborating with founders to effectively deploy a select few high-value alert types before gradually expanding our capabilitiesDeveloping customer-ready integrations throughout the pipeline

About the Role ifs1 is hiring an AI Engineer in London. This role focuses on building and improving projects that use artificial intelligence to solve real problems. The team values curiosity and a drive to make technology work in practical ways. What You'll Do Develop and refine AI-driven solutions for a range of projects Work closely with colleagues to turn ideas into working products Contribute technical insight and creativity to the team’s efforts Who We’re Looking For Experience or strong interest in artificial intelligence Motivation to learn and experiment with new technologies Desire to see AI make a real impact in the world This position is based in London.

Join Checkatrade as our next AI Engineer, where you'll be instrumental in advancing the UK's premier home improvement marketplace. Your expertise will connect groundbreaking AI research with practical applications, enabling us to create intelligent systems that streamline home improvement for millions—efficiently, fairly, and effortlessly.Your role will focus on:Delivering robust, production-ready AI solutions that enhance outcomes for users and tradespeople.Identifying opportunities to refine operations by discerning where AI can effectively tackle complex business challenges.Working collaboratively with cross-functional product teams to embed intelligent workflows into our broader ecosystem.Ensuring that every interaction with our platform is intelligent, swift, and instills confidence in Checkatrade.

Join Slingshot AI as an Engineering ManagerAt Slingshot AI, we are pioneering mental health solutions with our innovative AI, Ash. Our goal is to enhance accessibility to mental health support, empowering individuals to transform their lives.We are cultivating a high-performing team that values autonomy, flexibility, and the right support to excel in their roles. We believe in ambitious visions, rapid iterations, and a profound commitment to our mission. If you identify with these values, we invite you to apply.Our team comprises experts in machine learning, product development, engineering, conversational design, clinical support, growth, and operations, with offices in New York City and London.As a well-funded Series A startup, we have successfully secured $93M in investments from renowned firms, including Andreessen Horowitz, Radical Ventures, and Forerunner Ventures, alongside some of the most respected names in tech.Your RoleAs the Engineering Manager, you will oversee a product-oriented engineering squad dedicated to the continuous development of Ash. You will collaborate within a cross-functional team encompassing Product, Design, and Engineering, working closely with our Product Manager, Kieran Davies, to navigate ideas, define strategic directions, and convert ambiguity into actionable plans.We seek an approachable leader who earns the respect of engineers and fosters an environment that encourages exceptional work. Your focus will be on strategic decision-making regarding product development while maintaining hands-on involvement in our applications, prototypes, and infrastructure. This position is ideal for someone who enjoys a balance between leadership and technical contribution, prioritizing context over control, and values a cohesive, high-performance team.In this managerial capacity, you will promote clarity, stimulate constructive discussions, and assist engineers in adjusting to shifting priorities. Embracing change as a pathway to progress, you will view setbacks as opportunities for growth.

About UsAt Lightning AI, we are the pioneers behind PyTorch Lightning, established in 2019. Our mission is to create a seamless end-to-end platform that simplifies the development, training, and deployment of AI systems, effectively bridging the gap between research and production.Following our merger with Voltage Park, an innovative neocloud and AI Factory, we deliver developer-centric software integrated with cost-efficient, large-scale computing. Our solutions empower teams with essential tools for experimentation, training, and production inference while ensuring robust security, observability, and control.We cater to a diverse clientele, including independent researchers, startups, and major enterprises. With global operations and offices located in New York City, San Francisco, Seattle, and London, we are backed by prestigious investors such as Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.