Applied Researcher (Product) - AI Safety Solutions

Application Deadline: We are actively interviewing candidates and seek to fill this position promptly with a suitable applicant. THE OPPORTUNITYBecome a vital member of our groundbreaking AGI safety product team and play a key role in transforming intricate AI research into actionable tools aimed at minimizing AI-related risks. In your role as an applied researcher, you will collaborate closely with our CEO (who also acts as Head of Product), product engineers, and the Evals team’s software engineers to develop solutions that enhance AI agent safety for our clients. Currently, we are concentrating on the oversight of AI coding agents to identify failures in safety and security. You will be part of a compact team, which allows you to significantly influence both team dynamics and technological approaches while quickly assuming greater responsibilities. This position is perfect for you if you have a fervent desire to employ empirical research methodologies to enhance the safety of AI systems in practical applications. If you relish the challenge of converting theoretical AI risks into tangible detection mechanisms, thrive in fast-paced environments, and are eager to see your research make a meaningful impact on real-world AI safety, then we would love to hear from you.KEY RESPONSIBILITIESResearch & Development- Collect and catalog coding agent failure modes systematically from real-world instances, public examples, research literature, and theoretical predictions.- Design and execute experiments to evaluate monitor effectiveness across various failure modes and agent behaviors.- Develop and maintain evaluation frameworks to track advancements in monitoring capabilities.- Refine monitoring strategies based on empirical findings, optimizing detection accuracy alongside computational efficiency.- Stay updated with the latest research in AI safety, agent failures, and detection methodologies.- Keep abreast of advancements in coding security and safety vulnerabilities.Monitor Design & Optimization- Create a comprehensive library of monitoring prompts tailored to specific failure modes (e.g., security vulnerabilities, goal misalignment, deceptive behaviors).- Experiment with various reasoning strategies and output formats to enhance monitor reliability.- Design and evaluate hierarchical monitoring architectures and ensemble approaches.

Join Our Team as a Senior Product Engineer (AI)At Plain, we're revolutionizing customer support for the next generation of B2B enterprises. Our goal is to create the fastest and most powerful platform that enables businesses to transition from reactive support methods to building genuine relationships with their customers.Renowned companies like Cursor, Raycast, and Granola rely on Plain to centralize customer interactions, enhance team collaboration, and elevate workflows through advanced AI technology.The landscape of B2B customer support is evolving dramatically, with AI paving the way for innovative customer engagement strategies. Support has shifted from being a disconnected, slow process to a cohesive, company-wide initiative that spans channels like Slack, Discord, and beyond. The traditional methods just can't keep up anymore.This position is hybrid, requiring 3 days a week in our London office.Your RolePlain is in an extraordinary position, already powering support solutions for high-growth businesses with our incredibly fast and scalable platform. AI has been integral to our offering from day one, and now we’re committed to deepening its impact across all facets of modern customer support.We are on the lookout for a Senior Product Engineer with a passion for customer success to elevate our AI initiatives. In this role, you will develop the infrastructure necessary for rapid, secure, and confident delivery of AI features, taking ownership of challenges from inception to execution and playing a pivotal role in crafting a category-defining product.In this role, you will:Take full ownership of AI functionalities, including agents, assistants, insights, and beyond—from concept through to production.Design and implement backend services that support AI integrations and data pipelines.Create robust APIs and abstractions for internal AI applications.Enhance system scalability through caching, optimization, and processing patterns.Contribute to the evolution of our AI infrastructure, including architecture, evaluation, and iteration pipelines.Tackle complex challenges surrounding AI accuracy, reliability, and quality using rigorous quantitative methods.Represent our work externally through writing, speaking engagements, and connections with the broader AI community.This Role is Ideal for You If You...Are an experienced backend engineer with a proven track record of shipping AI products in the era of OpenAI and Anthropic, particularly in text and data-intensive AI applications.Possess a deep understanding of AI technologies and their applications in real-world customer support scenarios.

About MoneyboxAt Moneybox, we strive to empower individuals to enrich their lives. We believe that wealth is not merely about money but rather about having the resources for more—more freedom, opportunities, and peace of mind. As an award-winning wealth management platform, we assist over 1.5 million users in building their financial futures through saving, investing, purchasing homes, and planning for retirement.Job OverviewWe are developing Aurora, an innovative AI system aimed at guiding customers to achieve optimal financial outcomes. This role presents a significant technical challenge: how to effectively provide reliable guidance to customers who may have incomplete or uncertain information regarding their financial situations and goals, all while navigating a regulated environment where decisions must be auditable and traceable.Key challenges include efficiently addressing uncertainties in customer data through active information gathering, formulating questions at the right times without overwhelming users, and translating natural language policies and regulations into formal optimization logic that is both accurate and inspectable.Additionally, you will need to integrate learned and symbolic components to ensure that the overall system operates reliably, degrades gracefully, and remains comprehensible to human users, all without incurring excessive engineering costs on the specialized elements of the system.We hold strong hypotheses and established architectural plans for these challenges, yet we remain open to revising our approaches when presented with compelling arguments or new evidence. If you have insights that could improve our strategies, we welcome your input.Our models primarily operate internally. Our development process utilizes Databricks on Azure, with deployments conducted via Databricks or directly on Azure Kubernetes Service (AKS).This role represents the pinnacle of research within our ML team. You will report directly to the Director of AI and Decision Intelligence and collaborate with a principal data scientist, senior ML engineer, senior data scientist, and two ML engineers.

About Xaira TherapeuticsXaira Therapeutics is a pioneering biotech startup dedicated to harnessing the power of artificial intelligence to revolutionize drug discovery and development. We are at the forefront of creating generative AI models aimed at designing protein and antibody therapeutics, facilitating the development of treatments for historically challenging molecular targets. Our innovative approach also includes the development of foundational models for biological processes and diseases, enhancing target identification and patient stratification. Through these groundbreaking technologies, we strive to unlock novel therapies and improve drug development success rates. With headquarters in the San Francisco Bay Area, Seattle, and London, we are positioned to make a significant impact in the biotech field.Position OverviewWe are on the lookout for passionate and driven individuals to join our team as AI Research Engineers. We embrace candidates from diverse backgrounds and experiences, believing that varied perspectives strengthen our ability to solve complex challenges. Our London office, located near Old Street, fosters a highly collaborative environment where teamwork is essential to our success. We promote a hybrid work culture built on trust, with team members typically working in the office three days a week.Key ResponsibilitiesDemonstrate industry experience as a research engineer within an AI-focused organization.Exhibit enthusiasm for collaboration, learning, and teaching while tackling complex problems as part of a team.Desirable QualificationsWe value diverse experiences and recognize that each individual’s journey is unique. While the following qualifications are ideal, they are not mandatory:Master’s degree or PhD in an AI-related discipline.Contributions to public codebases or GitHub repositories.Experience in building and training neural networks.Familiarity with distributed training and inference.Expertise in profiling and optimizing large-scale AI models.Knowledge in BioAI or related fields.If you possess a strong drive to utilize AI in advancing drug discovery and enhancing human health, we invite you to apply and join us in our mission to create a positive impact in the world.

Why Join Faculty?Founded in 2014, Faculty is at the forefront of artificial intelligence, believing it to be the most transformative technology of our era. Over the years, we have partnered with more than 350 clients globally, enhancing their performance through human-centered AI solutions. Our tangible impact can be explored here.We prioritize genuine innovation over fleeting trends. Our commitment lies in developing and implementing responsible AI that significantly influences outcomes. Our diverse clientele includes sectors such as government, finance, retail, energy, life sciences, and defense, all of whom benefit from our profound expertise in technology, product development, and delivery.Our rapidly expanding business and reputation drive us to seek individuals who share our passion for intellectual exploration and aspire to create a positive technological legacy.AI is a groundbreaking technology; at Faculty, you will have the freedom to conceive its most impactful applications and bring them to fruition.About Our TeamThe Research team at Faculty is dedicated to critical red teaming and developing evaluations for misuse capabilities in sensitive domains, including CBRN, cybersecurity, and international security. We collaborate with leading frontier model developers and national safety institutes, and our contributions have been recognized in OpenAI's system card for o1.We also engage in fundamental technical research focused on mitigation strategies, with our findings presented at peer-reviewed conferences and shared with national security organizations. Additionally, we create evaluations for model developers across various safety-related areas, highlighting our comprehensive expertise in the safety domain.Role OverviewWe are in search of a Senior Research Scientist to join our high-impact R&D team. You will spearhead innovative research that enhances scientific understanding and drives our goal of developing safe AI systems. This is a vital role within a small, empowered team that conducts essential red teaming and evaluations for frontier models in sensitive fields such as cybersecurity and national security, allowing you to influence the future of safe AI deployment in real-world scenarios.

Join Our Team as a Senior Product EngineerAt Slingshot AI, we are pioneers in creating innovative AI solutions for mental health. Our flagship product, Ash, is designed to make mental health support more accessible, empowering individuals to transform their lives. We are committed to building a diverse and talented team that thrives on autonomy, flexibility, and collaboration.As a Senior Product Engineer, you will be at the forefront of enhancing Ash, working within a dynamic product team that combines product management, design, and engineering expertise, along with specialists in machine learning and AI. Your contributions will encompass the full development stack, from implementing engaging new features to creating automated processes that enhance the efficiency and effectiveness of our product.We are looking for passionate builders who are eager to take ownership of their work and are dedicated to delivering value to our users. You will be joining a small, highly skilled team where your insights and creativity will shape the future of Ash.Our technology stack includes Dart/Flutter for mobile applications, Kotlin for backend services, Python for machine learning, and Next.js/TypeScript for internal tools, with Rust used for low-level media streaming. While expertise in all these technologies is not mandatory, a willingness to learn and adapt is essential.

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.

Join our cutting-edge AI team at hyperexponential as a Research Engineer. In this role, you will be at the forefront of developing innovative AI solutions that drive efficiency and transformation across various sectors.As a Research Engineer, you will collaborate closely with data scientists, software engineers, and domain experts to design, implement, and optimize AI algorithms. Your insights will directly contribute to advancing our product offerings and enhancing client experiences.If you are passionate about harnessing AI technology to solve real-world problems, we want to hear from you!

Become a Catalyst for Change at Axon.At Axon, we are committed to safeguarding lives and enhancing public safety through innovative technology. As pioneers in the field, we tackle critical issues surrounding safety and justice with our comprehensive ecosystem of devices and cloud-based software solutions. Our collaborative culture thrives on open communication and diverse perspectives, both from our customers and within our teams.Working at Axon is not just a job; it's a chance to make a tangible difference. Here, you will take initiative and make a real impact while growing personally and professionally in a fast-paced, meaningful environment.Your RoleWe are looking for adept and forward-thinking Machine Learning Scientists to enhance our AI team, focusing on applications of AI, particularly in Large Language Models (LLM) and Computer Vision across Cloud, Devices, and Robotics. As an integral part of our research and development initiatives, you will significantly contribute to advancing cutting-edge technologies in LLMs, Multimodal Large Language Models (MLLMs), Computer Vision, and Generative AI for law enforcement applications and more. You will work collaboratively with multidisciplinary teams to innovate, develop, and implement advanced LLM, MLLM, and CV models, enabling intelligent reasoning and perception of multimodal data.

Application Deadline: We are actively interviewing candidates and aim to fill this position promptly with the right individual.ABOUT THE ROLEAt Apollo Research, we conduct evaluations that meticulously assess the risks associated with advanced AI systems. Collaborating with leading laboratories such as OpenAI, Anthropic, and Google DeepMind, you will have the unique opportunity to engage with cutting-edge AI models ahead of their public release. The ideal candidate possesses a passion for rigorously testing state-of-the-art AI technologies and excels in creating and automating efficient evaluation pipelines.YOUR RESPONSIBILITIES WILL INCLUDE- Conducting pre-deployment evaluation campaigns on the world's most advanced AI systems. Our partnerships with various labs provide access to a wide range of models that no single lab can offer, allowing you to be among the first to engage with new models.- Exploring AI cognition by analyzing extensive model transcripts to identify novel behavioral patterns that have yet to be documented. These insights can be both surprising and enlightening, including phenomena like non-standard language and reward-seeking reasoning as discussed in our anti-scheming paper.- Developing new evaluations for frontier risks, creating innovative test environments, and scaling these across multiple scenarios.- Collaborating with leading AI developers to share your insights, receive feedback, and ensure your evaluations influence the deployment strategies of the most advanced AI systems.- Optimizing and automating the evaluation pipeline. We utilize automation in building, executing, and analyzing evaluations. As agent capabilities evolve rapidly, you will have the autonomy to reshape the pipeline to keep pace with these advancements.KEY REQUIREMENTS

Aircall develops an AI-powered customer communications platform that serves over 22,000 companies worldwide. The platform brings together voice, SMS, WhatsApp, and AI features to help teams increase revenue, resolve issues quickly, and scale customer-facing operations. With headquarters in Paris and offices in London and other major cities, Aircall continues to expand its reach and invest in AI innovation. The company values customer satisfaction, data-driven decisions, and meaningful results. Ownership, ongoing learning, and collaboration are central to the team culture. People who thrive at Aircall appreciate making a tangible impact within a supportive, team-focused setting. Role overview The AI Productivity Engineer joins the Engineering Productivity (EngProd) team in the London office. The focus is on building and deploying AI-powered tools that streamline engineering workflows. Day-to-day work includes reducing friction, automating repetitive engineering tasks, and integrating intelligent solutions into routine activities. This position is not research-oriented or customer-facing. Instead, the emphasis is on delivering practical, production-ready AI systems that engineers use internally. The tools and systems developed will directly improve engineering efficiency across the organization. This role fits someone who enjoys creating reliable systems that others depend on, with a focus on long-term value over following short-lived trends.

aisi seeks a Research Engineer or Research Scientist to focus on Model Transparency in London, UK. The position involves research aimed at making AI models more understandable and accountable. The goal is to clarify complex behaviors within these systems and help build trust in their outcomes. Key responsibilities Research new ways to improve the interpretability of AI models Create methods and tools that help explain how models make decisions Tackle challenges in understanding and communicating model behavior Contribute to initiatives that support greater accountability in AI Location This role is based in London, UK.

Lightning AI builds tools that help researchers and organizations bring AI projects from idea to production. Known for PyTorch Lightning, the team focuses on making it easier to develop, train, and deploy AI systems. Since merging with Voltage Park, Lightning AI combines developer-focused software with scalable compute resources. The platform supports experimentation, training, and production inference, while emphasizing security and control. Offices are located in London, New York City, San Francisco, and Seattle. Investors include Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. Values Move Fast: Break big challenges into achievable tasks and act quickly. Focus: Work as one team to deliver well-crafted features, concentrating on a single goal at a time. Balance: Support healthy work habits and value rest for long-term results. Craftsmanship: Aim for excellence and innovation, paying close attention to detail. Minimal: Keep solutions simple and disciplined, avoiding unnecessary complexity. Role overview This hybrid Research Engineer position is based in London. The role centers on optimizing training and inference workloads on compute accelerators and clusters, with a focus on the Lightning Thunder compiler and the PyTorch Lightning ecosystem. Work will blend deep learning research, compiler development, and large-scale system optimization. The Research Engineer will help build foundational software that improves model performance and efficiency, shaping the future of machine learning infrastructure. This position reports directly to the Tech Lead and is part of the Engineering Team. Flexible work options are available.

Senior Product EngineerAbout the PositionCaribou is seeking a talented and experienced Senior Product Engineer to elevate our product team. This key role demands a full-stack engineer with a strong product intuition and proven history of transforming innovative ideas into successful products from inception to launch.As we harness the latest in AI and LLM technology, your expertise in these areas will be crucial. You should be well-versed in contemporary techniques and capable of building independently, even in the absence of a dedicated design team.Your primary responsibility will be to translate raw business objectives into impactful customer-facing features, ensuring a top-tier customer experience. You will guide the entire product development lifecycle, from understanding real user issues to crafting thoughtful solutions and implementing them across our technology stack.This position intersects engineering, product development, AI, and design. Collaborating closely with founders and cross-functional teams, you will tackle ambiguous challenges and deliver elegant, scalable solutions that enhance our customer experience.Your ResponsibilitiesLead the full-stack development of new product features from initial concept through to production deployment.Engage in product discovery: analyze customer feedback, map user workflows, identify opportunities, and prioritize feature development.Utilize AI and LLMs to enhance product capabilities, streamline development processes, and innovate complex tax workflows.Work alongside the tax team to deeply understand user needs and translate them into actionable product enhancements.Make informed decisions regarding infrastructure and architecture to ensure high-performance, reliable feature delivery.Enhance code quality by writing maintainable code, contributing to design systems, and refining engineering practices.Job Requirements5+ years of experience as a full-stack or product-focused engineer in a web application startup environment.Strong technical proficiency in modern front-end frameworks and back-end technologies.

About Lightning AIFounded in 2019, Lightning AI is the driving force behind PyTorch Lightning. We create a comprehensive platform for the development, training, and deployment of AI systems, streamlining the journey from innovative research to impactful production.Our merger with Voltage Park, a neocloud and AI factory, enhances our offerings by integrating developer-centric software with efficient, large-scale computing resources. We provide teams with essential tools for experimentation, training, and production inference, ensuring security, observability, and control are integral to our solutions.We cater to individual researchers, startups, and established enterprises, with a global presence including 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 ValuesMove Fast: We prioritize speed and precision, deconstructing complex challenges into manageable tasks.Focus: We tackle one objective at a time with care, working collaboratively to deliver features accurately.Balance: We believe in maintaining a healthy work-life balance, promoting sustained performance through rest and recovery.Craftsmanship: We strive for excellence and take pride in the details that contribute to our innovation.Minimal: We embrace simplicity in our innovations, focusing on what truly matters.Role OverviewWe are looking for an accomplished Research Engineer to enhance the optimization of training and inference workloads using compute accelerators and clusters, particularly through the Lightning Thunder compiler and the broader PyTorch Lightning ecosystem. This role exists at the intersection of deep learning research, compiler development, and large-scale system optimization. You will be instrumental in advancing technology that enhances model performance and efficiency, establishing essential software that will influence the entire machine learning landscape.As part of the Engineering Team, you will report to our Tech Lead. This hybrid role is based in our offices located in New York City, San Francisco, or London.

About UsJoin Luminance, a trailblazer in Legal-Grade™ AI solutions for the enterprise sector. Supported by esteemed venture capitalists and recognized in the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ as well as Inc. 5000’s ‘Fastest Growing Companies in America’, we are transforming the legal industry on a global scale.We are on the lookout for a dynamic AI Product Engineer who is ready to take full ownership of impactful AI tools. This role transcends conventional development; we seek a visionary builder and problem-solver who can turn vague concepts into essential software applications. While a formal computer science degree is not mandatory, we value self-motivated individuals adept at leveraging cutting-edge AI tools to deliver results swiftly.Key Responsibilities Design, prototype, and deploy autonomous AI systems that effectively address strategic business challenges. Rapidly convert abstract requirements into functional prototypes, and lead the push to production. Troubleshoot and resolve complex issues throughout the technology stack, encompassing AI model behavior, middleware, and deployment configurations. Present your work within the company and contribute to our internal narratives around innovation. Create comprehensive documentation and rollout plans for new tools, ensuring user adoption. Continuously assess new AI models, frameworks, and coding tools to enhance efficiency and quality. Requirements Proven ability to develop and deliver AI-enabled products or prototypes (whether through professional experience, academic pursuits, or self-taught endeavors). Exceptional problem-solving abilities: capable of transforming ambiguous challenges into functional code and structured workflows. Extensive technical knowledge: proficient with Python, APIs, full-stack frameworks, and JSON. Familiarity with Large Language Models (LLMs): understanding their capabilities and limitations, with experience integrating them into practical systems. Outstanding communication skills: able to collaborate effectively with executives, stakeholders, and non-technical users. Curiosity, determination, and creativity: eager to experiment, iterate, and navigate challenges until successful. Why Choose Luminance? Work on the forefront of applied AI in the legal field, one of the most impactful sectors globally. Collaborate with a distinguished, multidisciplinary team that encompasses law, AI research, and product development. Experience the freedom of a startup culture backed by prominent international venture capitalists. Benefits Central London office location. Pension scheme with Aegon, RetireReady. Health insurance with BUPA - all employees are eligible for enrollment for themselves and dependents from Day 1 at Luminance. Life Insurance.

About AnthropicAt Anthropic, we are dedicated to pioneering safe, interpretable, and controllable AI systems. Our goal is to ensure that AI technologies are beneficial for users and society at large. We have assembled a rapidly expanding team of passionate researchers, engineers, policy specialists, and business leaders working collaboratively to create advanced AI systems that serve humanity well.As a leader in AI research, Anthropic is committed to developing ethical, powerful artificial intelligence. We aim to align transformative AI systems with human values. We invite you to join our Pretraining team as a Research Engineer, where you will be instrumental in creating the next generation of large language models. This role allows you to operate at the crossroads of cutting-edge research and practical engineering, playing a key part in building safe, steerable, and trustworthy AI systems.Key Responsibilities:Conduct innovative research and develop solutions in areas such as model architecture, algorithms, data processing, and optimization techniques.Independently lead small-scale research projects while partnering with colleagues on larger initiatives.Design, execute, and analyze scientific experiments to deepen our understanding of large language models.Enhance and scale our training infrastructure to boost efficiency and reliability.Develop and refine development tools to improve team productivity.Contribute across the entire stack, from low-level optimizations to high-level model design.

At Intercom, we are redefining customer service with our AI-driven solutions. Our mission is to empower businesses to deliver exceptional customer experiences through our advanced AI agent, Fin. This state-of-the-art technology enables companies to provide seamless, always-on customer support, enhancing their customer interactions significantly. Fin can also integrate with our Helpdesk platform, forming a comprehensive solution known as the Intercom Customer Service Suite. This suite offers AI-enhanced support for complex inquiries that necessitate human agent involvement.Founded in 2011 and trusted by nearly 30,000 businesses worldwide, Intercom is setting the benchmark for customer service innovation. We adhere to our core values, which drive us to push boundaries, work with urgency, and consistently deliver unparalleled value to our clientele.What is the opportunity?As a Senior Product Engineer at Intercom, you will be pivotal in addressing real customer challenges through the intelligent application of your technical expertise. You will collaborate within a multidisciplinary product team, contributing to both back-end and front-end development while working closely with designers, product managers, researchers, and data analysts.We are tackling exciting scaling challenges and building a robust platform where your skills will be crucial in areas such as developing a beautiful messenger composer, rule matching, deliverability, security, application availability, and machine learning, among others.What will you be doing?As an experienced engineer, you will:Develop technical plans and contribute to our technical architecture, scaling our products to serve millions of users daily.Write Ruby code that integrates various AWS, infrastructure, platform, and SaaS technologies, forming the backbone of Intercom's backend.Deploy changes to production and ensure high-quality delivery.

Join Gizmo, a dynamic AI startup dedicated to revolutionizing learning by making it accessible and enjoyable for everyone. Our innovative platform harnesses the power of gamification and social mechanics to create engaging educational experiences.With a rapidly growing user base of over 1.7 million monthly active users and an impressive $5M in annual recurring revenue, we are one of the UK’s fastest-growing startups. Recently, we secured $22M in Series A funding from leading investors to propel our mission of helping 1 billion people learn.Your RoleWe are on the lookout for a talented and experienced Staff Product Engineer with a focus on AI to enhance the core intelligence of our platform. As part of our team, you will report directly to the CEO and Co-Founder, working within our TypeScript codebase to develop AI-powered features utilized by thousands of students each day, including study material generation, quizzes, automated grading, and content ingestion.This role is hands-on and not focused on machine learning research; instead, it emphasizes practical product engineering aimed at designing and refining AI systems that have a real-world impact.If you are passionate about developing AI solutions that are integral to a high-impact product, this position offers a unique opportunity to make a difference at scale.Key ResponsibilitiesDeveloping AI-Driven Product FeaturesDesign and implement AI-enhanced user features within our TypeScript framework.Manage AI feature development from conception through production and continuous improvement.Collaborate with design and product teams to address real learning challenges with comprehensive AI solutions.Produce clean, maintainable, and production-ready code.Contribute to architectural strategies across backend and AI systems.Enhance user experiences centered around AI outputs, including feedback and refinement processes.Maintaining and Optimizing Production AI SystemsYou will oversee AI systems that are already operational and utilized daily, including:Generation of study materials.Creation of quiz questions.Automated grading and feedback systems.Structured content ingestion pipelines.Your tasks will include:Refining production AI workflows.Designing and evolving prompts, focusing on effective prompt engineering and multi-step workflows.Building structured model pipelines rather than simple integrations.Integrating model upgrades directly into our TypeScript backend.Developing innovative AI systems to tackle new product challenges.Prototyping and streamlining new model-driven functionalities.Establishing Evaluation and Quality StandardsYou will:Define excellence across various AI applications.Create internal evaluation frameworks.Develop clear metrics for quality, accuracy, and overall usefulness.

Intercom is a pioneering AI Customer Service company dedicated to enhancing business-customer interactions. Our flagship AI agent, Fin, represents the forefront of customer service technology, enabling businesses to provide uninterrupted and exceptional support. By integrating with our Helpdesk, it evolves into the comprehensive Intercom Customer Service Suite, designed to tackle complex inquiries that necessitate human intervention.Since our inception in 2011, we have garnered the trust of nearly 30,000 businesses worldwide, establishing ourselves as leaders in the customer service sector. Rooted in our core values, we relentlessly pursue innovation, operate with agility, and consistently deliver outstanding value to our clients.What’s the Opportunity?As a Senior Product Engineer at Intercom, you will leverage your technical expertise to tackle real-world customer challenges. You will be integrated into one of our dynamic product teams, collaborating closely with designers, product managers, researchers, and data analysts to develop both back-end and front-end systems.Your role will involve addressing the exciting challenges of scaling our platform, where your skills will be key in enhancing various aspects, including the messenger composer, rule matching, deliverability, security, app availability, and machine learning, among others.What Will I Be Doing?As a Senior Engineer, your responsibilities will include:Formulating technical plans and contributing to the architecture of our products as we scale to accommodate millions of users daily.Writing Ruby code that integrates various AWS, infrastructure, platform, and SaaS technologies forming the backbone of Intercom’s back-end.Deploying changes to production seamlessly and ensuring high performance and reliability.