Senior Full-Stack Software Engineer (C#/.NET, React) at gearset | Cambridge, UK

Location: Cambridge, MA (Eastern Time / UTC -4)Relocation package: AvailableStart date: ASAPLanguages: English (required)About the RolePragmatike is collaborating with an innovative AI startup, acknowledged as a Top 10 GenAI company by GTM Capital, founded by researchers from MIT CSAIL. We are looking for a Principal Full Stack Engineer specializing in Node.js + React who possesses extensive hands-on expertise in crafting scalable, high-performance web applications that support intricate, data-driven AI solutions utilized by Fortune 500 clients.This position is perfect for those who relish taking ownership of features from inception to completion—encompassing backend architecture and refined frontend delivery. The ideal candidate will be adept at designing APIs, constructing scalable services, developing user-friendly interfaces, and deploying production-ready features at scale.ResponsibilitiesDesign, develop, and maintain scalable full stack applications using Node.js, React, and TypeScript.Architect and create robust backend services, APIs, and data models.Build modern, production-grade web interfaces with React.Own features throughout the entire lifecycle, from technical design and implementation to deployment and production support.Enhance performance across the stack, including frontend rendering, API latency, and database queries.Collaborate closely with product, design, and AI/ML teams to deliver user-centered features.Establish best practices for testing, code quality, observability, and CI/CD processes.Enhance overall system architecture, scalability, and developer experience.Diagnose and resolve production issues spanning both frontend and backend systems.QualificationsMinimum of 5 years of experience as a Full Stack Engineer.Strong expertise in Node.js (including frameworks such as Express, NestJS, or similar).Proficient in React and TypeScript in production settings.Experience designing RESTful APIs and working with databases like PostgreSQL or MongoDB.Solid understanding of modern web architecture and principles of distributed systems.Proven experience in building scalable applications and deploying them effectively.Exceptional problem-solving skills and a passion for technology.

Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Relocation package: AvailableStart date: ASAPLanguages: English (required)About the RolePragmatike is seeking a highly skilled Principal AI/ML Engineer to join a rapidly growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by researchers from MIT CSAIL.In this pivotal role, you will become an integral part of our elite AI engineering team, responsible for architecting, developing, and deploying advanced AI systems utilized by Fortune 500 clients. Your technical expertise will drive the development of essential ML components while collaborating closely with AI researchers, platform engineers, and product teams to ensure the delivery of scalable, production-ready AI solutions.This position is tailored for seasoned AI/ML engineers with a proven track record of building and deploying models in production settings, eager to work at the nexus of research-grade AI and practical systems engineering.Key ResponsibilitiesDesign, construct, train, and refine machine learning and deep learning models for production deploymentLead the successful deployment of ML models into robust, scalable production environmentsArchitect training, inference, and evaluation pipelines for both structured and unstructured datasetsOwn the performance, reliability, scalability, and lifecycle management of ML modelsDrive experimentation, model iteration, and performance benchmarking initiativesImplement and uphold high-quality ML codebases primarily in PythonMonitor, troubleshoot, and enhance live production modelsCollaborate with platform, backend, and infrastructure teams to ensure seamless system integrationContribute to technical direction, architecture decisions, and AI roadmap strategiesMentor junior engineers and foster a culture of technical excellence within the teamDesired QualificationsBachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related discipline7+ years of relevant professional experience in AI/ML, data science, or applied machine learning rolesDemonstrated experience in deploying ML systems in production environmentsStrong proficiency in Python and familiarity with machine learning frameworksExcellent problem-solving skills and a passion for innovation in AI

Location: Cambridge, MA (Eastern Time / UTC -4). Relocation support is available. Remote work may be considered for candidates based outside Massachusetts.Start date: ASAPLanguages: English (required) Pragmatike is an AI startup founded by MIT CSAIL researchers, recognized by GTM Capital as a Top 10 GenAI company. The team develops advanced AI systems with a focus on real-world applications. Role overview The Principal Machine Learning Operations Engineer shapes the architecture and scaling of Pragmatike’s machine learning infrastructure. This senior position leads the design, implementation, and optimization of production AI systems, overseeing the full lifecycle from model training and evaluation to deployment, monitoring, and ongoing improvement. Collaboration is central in this role. The Principal ML Ops Engineer works closely with AI researchers, GPU systems engineers, backend developers, and product teams. The main focus is building reliable, efficient, and automated ML platforms to support large-scale AI deployments. Key responsibilities Architect, build, and improve the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring. Design and maintain infrastructure for model deployment, version control, reproducibility, and orchestration across both cloud and on-premises GPU clusters. Optimize distributed systems for computational efficiency, covering Kubernetes, autoscaling, caching, GPU allocation, and checkpointing workflows. Establish observability for ML systems by monitoring model drift, performance, throughput, reliability, and operational costs. Automate workflows for dataset curation, labeling, feature engineering, evaluation, and CI/CD for ML models. Collaborate with researchers to bring models into production and improve training and inference pipelines. Set internal ML Ops standards, best practices, and develop tools that support cross-team collaboration. Mentor engineers and provide architectural guidance across the AI platform. Requirements Extensive hands-on experience designing and operating production ML systems at scale, ideally at the Staff or Principal level. Deep knowledge of ML Ops, distributed systems, and cloud infrastructure.

Join Cambridge Mobile Telematics (CMT), the leading telematics service provider dedicated to enhancing road safety and driver performance. Our AI-powered platform, DriveWell Fusion®, aggregates data from millions of IoT devices, including smartphones and connected vehicles, to deliver actionable insights for auto insurers, automakers, and mobility companies. Headquartered in Cambridge, MA, with a global presence in cities like Budapest, Chennai, and Tokyo, we protect millions of drivers every day.We are on the lookout for a talented Principal Software Engineer to spearhead ambitious projects while mentoring our engineering teams in developing robust and scalable full-stack solutions. This pivotal role involves setting the technical direction for our platform and contributing to its ongoing success.If you are a collaborative, innovative, and customer-focused engineer eager to make a real impact on road safety, we invite you to apply!

Your Impact at Lila Sciences Become a pivotal part of the scientific revolution! We are looking for a Principal Software Engineer with extensive full-stack expertise to join our innovative software platform team. In this collaborative role, you will partner with software engineers, lab scientists, and machine learning experts to develop advanced tools for automated scientific analysis and beyond. Your responsibilities will encompass web services and data engineering, with a strong focus on Python development tailored for scientific applications. If you excel in a teamwork-oriented, fast-paced setting and adhere to best practices in version control, development workflows, and user-centered design, we would love to connect with you! Key Contributions You Will Make Design & Build Services and Front-ends: Create high-performance, secure, and well-documented code that seamlessly integrates with our existing services and applications. Performance & Reliability: Identify and resolve system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads. Cloud & Infrastructure: Utilize AWS services, Kubernetes, and contemporary DevOps methodologies to build and deploy production-ready systems at scale. Cross-Functional Collaboration: Collaborate with machine learning researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows and services.

Join Cambridge Mobile Telematics (CMT), the largest telematics service provider globally, dedicated to enhancing road safety. Our innovative AI-driven platform, DriveWell Fusion®, integrates sensor data from millions of IoT devices, including smartphones and connected vehicles, with contextual information to deliver insights that empower auto insurers, manufacturers, and public sector organizations to improve risk assessment and driver safety. With our headquarters in Cambridge, MA, and global presence across cities like Budapest, Chennai, Seattle, Tokyo, and Zagreb, we protect millions of drivers daily.We are on the hunt for a talented Principal Software Engineer who possesses deep expertise in full-stack development. In this pivotal role, you will lead intricate projects, mentor teams, and contribute to the technical evolution of our platform, driving its ongoing success.If you are a collaborative, innovative thinker passionate about making roads safer through technology, we invite you to apply!

Role Overview Lila Sciences is seeking a Principal Engineer with expertise in AI Security for its Cambridge, MA office. This senior individual contributor will help define and drive the technical strategy to secure AI applications across the organization. The role involves close collaboration with IT and business teams to ensure AI tools and platforms are implemented safely and in compliance with internal and external requirements. Securing both third-party and in-house AI tools is central to this position. The work will focus on protecting sensitive data, intellectual property, and scientific processes as AI becomes increasingly embedded in Lila's operations. What You Will Do Enterprise AI Security Strategy: Develop and roll out security controls and guidelines for using AI tools throughout the company, covering LLM APIs and SaaS AI platforms. AI Gateway & Agentic Gateway Security: Design and enforce controls for AI gateways, monitoring and managing access to AI systems. Ensure agentic workflows are secured with strong identity and authorization measures. AI Red Teaming & Adversarial Testing: Lead red teaming and adversarial testing efforts to uncover vulnerabilities in AI usage, such as prompt injection and data exfiltration risks. Data Protection for AI Usage: Establish and maintain safeguards to prevent sensitive data exposure through AI systems, with a focus on input/output filtering and secure data management. Multi-Layer AI Security: Integrate AI security practices with the organization's broader security framework, maintaining visibility and control over AI service access and data flows. AI Threat Modeling: Build and maintain threat models tailored to enterprise AI applications, addressing risks like data leaks and unauthorized agent actions. Vendor & Platform Security: Assess and advise on secure integration of third-party AI vendors, with close attention to their data handling practices and model behavior.

At Cambridge Mobile Telematics (CMT), we are leading the charge in telematics solutions, dedicated to enhancing road safety globally. Our innovative AI-driven platform, DriveWell Fusion®, integrates sensor data from millions of IoT devices—ranging from smartphones and proprietary Tags to connected vehicles and dashcams—along with contextual data to provide a comprehensive view of vehicle and driver behavior. Our insights empower auto insurers, automakers, commercial mobility companies, and public sector organizations to improve risk assessment, safety measures, claims processes, and driver enhancement programs. With our headquarters based in Cambridge, MA, and additional offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, we protect and support millions of drivers worldwide each day.As a Senior Full Stack Software Engineer, you will play a pivotal role in designing, developing, and maintaining scalable web applications that fuel our telematics platform. You will navigate the entire tech stack, crafting intuitive user interfaces and robust backend systems while collaborating closely with product, design, and data teams. This dynamic role is ideal for a hands-on engineer who thrives in a fast-paced environment, fosters mentorship, and possesses a strong sense of ownership and curiosity. Your contributions will significantly impact user experience with CMT’s products, reinforcing our mission to enhance road safety globally.CMT seeks a highly collaborative, customer-focused, and innovative Senior Full Stack Software Engineer who is eager to join us in making roads safer by empowering drivers!

Join EverQuote as a Senior Full Stack Software Engineer on our B2B Agency Feature Team, a pivotal group shaping the future of our Agency business. This is more than just an engineering position; you will collaborate closely with all platform teams to design, develop, and scale agency features that fuel EverQuote's B2B growth. Your contributions will significantly impact how agencies utilize our platform and drive revenue on a large scale. Take charge of creating innovative, user-centric applications and interactive services that are quick, reliable, and built for substantial growth. Envision bold UI advancements, seamless front-end architecture, and essential experiences that agencies rely on. Become part of a dynamic, collaborative team of engineers who prioritize speed and meaningful output. You won't just contribute; you'll lead as a technical mentor, enhancing your team's capabilities through your expertise in modern front-end development, outstanding UI/UX design, and the progressive use of AI tools to boost developer efficiency. If you're eager to create impactful products, nurture a talented team, and influence a rapidly scaling platform, this position is for you. This role is hybrid, requiring in-office attendance several days a week. The base salary range for this full-time hybrid position is $150,700 to $177,300. Starting salaries will typically fall within the lower range. Depending on their specific role, level, and responsibilities, employees may qualify for company variable compensation or equity programs.

Location: Cambridge, UK – This role offers flexible working options. Candidates must be based or willing to relocate to a comfortable commuting distance from our Cambridge office for onsite attendance as needed.Are you an enthusiastic full stack engineer eager to create scalable, high-performance systems that enhance player experiences? Join our Subscriptions and Payments team at Jagex, where you will play a key role in developing and maintaining the systems that facilitate digital goods and subscription purchases across the RuneScape franchise. Your contributions will directly empower millions of player transactions globally.In this impactful role, you will help build secure, robust, and scalable services while mentoring junior engineers and continuously enhancing the reliability and performance of our subscription and payment platforms.Your Responsibilities:Engage in all phases of the Software Development Lifecycle, producing secure code supported by automated testing, peer reviews, documentation, and deployment.Develop and maintain backend services utilizing Java and Spring Boot in a microservices architecture.Create frontend applications using JavaScript/TypeScript and modern frameworks like React, Next.js, and Node.js.Design and integrate RESTful APIs and publish-subscribe messaging systems.Ensure services are monitored for scalability, high availability, and performance.Support production systems and participate in an on-call rotation.Drive system improvements, performance optimizations, and architectural advancements.Assess and implement both commercial and in-house technical solutions as appropriate.

Join Engine as a Senior Associate in Community OperationsAt Engine, we empower visionary founders who are tackling the world's most critical challenges in areas such as climate change, health, and advanced technologies. Our commitment includes providing robust support through founder programs, access to shared infrastructure and labs, and the opportunity to connect with a diverse national network of corporate partners, investors, and industry experts.

The Engine supports Tough Tech entrepreneurs who are developing solutions for major global challenges. As a nonprofit, the organization connects founders with infrastructure, funding, and operational support to help turn breakthrough science and technology into real-world impact. Role overview The Chief Growth Officer (CGO) will lead The Engine through its next phase of growth. This executive shapes partnership strategies, drives revenue initiatives, and works to strengthen the organization’s market position. The CGO also serves as a strategic advisor to the CEO and leadership team, providing input on key organizational decisions. Who should apply Experienced leaders with a background in Tough Tech, either as entrepreneurs or commercial executives Individuals with a track record of scaling organizations and launching first-of-a-kind (FOAK) projects Candidates who have advocated for Tough Tech founders and engaged with the broader ecosystem Location This position is based in Cambridge.

As a Principal Medical Writer at Sobi, you will leverage your expertise in communication to spearhead a strategy-oriented approach in crafting pivotal clinical and regulatory documents. Your role will be crucial in ensuring clarity, credibility, and consistency of clinical information across submission packages and clinical programs, thereby facilitating regulatory assessment and achieving product labels that meet commercial needs.Key Responsibilities:Lead an effective strategy for authoring clinical components of regulatory submissions, ensuring that the scientific content is clear, concise, complete, credible, and compelling, aligned with regulatory document objectives.Take the lead in preparing essential clinical and regulatory documents, including those that support major regulatory submissions and responses to regulatory agencies/health authorities.Provide leadership and project coordination to cross-functional authoring teams, ensuring timely delivery, high quality, and compliance with regulatory standards for clinical documents.Collaborate with senior project staff to develop a storyboard for submissions and plan document development to optimally support the proposed prescribing information.Serve as a Product Medical Writer, offering strategic medical writing expertise and support across multiple projects within a clinical development program.Ensure that all documents meet high technical quality standards in accordance with in-house technical requirements.Mentor and develop less experienced Medical Writers.Oversee and coordinate the contributions of all Medical Writers involved in documents under your purview, including in-house consultants and Medical Writers at Contract Research Organizations (CROs).

Join Cambridge Mobile Telematics (CMT), the largest telematics service provider globally, dedicated to enhancing road safety for all drivers. Our innovative AI-driven platform, DriveWell Fusion®, aggregates data from millions of IoT devices—including smartphones, proprietary Tags, connected vehicles, and dashcams—fusing it with contextual information to provide a comprehensive view of driver and vehicle behavior. Our insights are utilized by auto insurers, automobile manufacturers, commercial mobility companies, and public sector entities to enhance risk assessment, safety protocols, claims processing, and driver improvement initiatives. With our headquarters in Cambridge, MA, and offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, we safeguard millions of drivers worldwide every day.As a Principal Machine Learning Engineer at CMT, you will craft algorithms that model the physical phenomena associated with vehicle and human movements as captured by mobile sensors and IoT devices. Your expertise will help solve complex real-world challenges and drive innovative solutions through exploratory data analysis on intricate, high-dimensional datasets. Leveraging your knowledge in statistics, machine learning, deep learning, signal processing, physics, programming, and data modeling, you will spearhead Data Science projects, independently create new solutions to meet CMT’s goals, and contribute to company-wide prototype development and product enhancements.If you are a collaborative, customer-focused, and inventive Principal Machine Learning Engineer eager to contribute to safer roads and better driving practices, we welcome your application!

Join our dynamic team at Ramboll as a Senior / Principal Electrical Engineer. In this role, you will lead innovative projects, collaborate with a talented team, and contribute to the development of sustainable electrical solutions. Your expertise will be pivotal in driving forward our commitment to excellence in engineering.

ABOUT PIONEERING INTELLIGENCE Pioneering Intelligence builds on the legacy of Flagship Pioneering, leveraging the latest advancements in artificial intelligence, machine learning, and data analytics to expedite groundbreaking research and establish a portfolio of AI-centric companies. As an integral part of Flagship’s innovative model that merges science, entrepreneurship, and capital, we transform revolutionary ideas into transformative enterprises, enhancing the AI breakthroughs occurring within the realms of human health, sustainability, and beyond. THE ROLE Pioneering Intelligence represents a strategic initiative of Flagship Pioneering, dedicated to positioning our organization at the forefront of global innovation through the fusion of human, machine, and nature’s intelligence – a concept we refer to as Polyintelligence. We are currently on the lookout for a Principal Product Manager to collaborate across various disciplines including UX design, AI research, engineering, legal, communications, marketing, and scientific research teams, as well as venture creation units, to address the most significant challenges in AI within the life sciences sector. We are establishing a state-of-the-art digital infrastructure that integrates computational science, AI/ML technologies, knowledge engineering, data platforms, and workflow automation. These capabilities are essential in supporting Flagship’s distinctive approach to exploring uncharted territories and translating scientific insights into transformative enterprises. The Principal Product Manager, Agentic AI will be a key individual contributor responsible for owning a specific product area from conception to execution, translating intricate user and scientific requirements into a coherent strategy, quantifiable outcomes, and widely adopted solutions aligned with our business objectives. As part of a multidisciplinary team, you will closely partner with scientists and business stakeholders to drive impactful innovations from agentic systems that redefine workflows and business capabilities within a dynamic startup environment. KEY RESPONSIBILITIES Own and articulate the product vision, strategy, and roadmap. Define Objectives and Key Results (OKRs) and drive measurable outcomes. Lead discovery processes with scientists, synthesize insights, and develop wireframes. Facilitate cross-functional decision-making and alignment among machine learning, engineering, and scientific stakeholders. Drive product adoption, including spearheading user enablement initiatives.

Join Luminance, a trailblazer in Legal-Grade™ AI for enterprises, and become part of a team that's revolutionizing the legal industry worldwide. Supported by esteemed venture capitalists and recognized in Forbes’ AI 50 list of ‘Most Promising Private AI Companies’ and Inc. 5000’s ‘Fastest Growing Companies in America’, Luminance is at the forefront of innovation.As an Applications Engineer, you will play a vital role in designing and developing our suite of web-based applications, leveraging Luminance's cutting-edge AI technology for diverse legal applications. You will work with a modern technology stack and have the opportunity to focus on UI, backend development, or a combination of both!This position is open to recent graduates eager to learn as well as experienced candidates with a strong background. If you're passionate about this opportunity but feel your skills don't perfectly align with the description, we still encourage you to apply. At Luminance, we value enthusiasm and are committed to fostering an inclusive workplace where everyone can thrive.

Join Professor Goel’s Computational Policy Lab at the Shorenstein Center, Harvard Kennedy School, where we are on the cutting edge of software development, generative AI, and data science. As a Software Engineer, you will contribute to a dynamic environment focused on media, politics, and public policy through innovative teaching and impactful research initiatives.Application RequirementsTo ensure a complete application, please include:Your resumeA cover letter that includes:A link to your GitHub code demonstrating your technical skills, ideally a project you would enjoy discussing in an interviewA concise description of the linked projectConfirmation of your legal authorization to work in the United States without sponsorship for a minimum of two yearsDuties and ResponsibilitiesAs a Software Engineer, your core responsibilities will include:Executing complex applications and web development tasks for large-scale projects.Designing and developing advanced software systems tailored for extensive research initiatives, focusing on educational technology and generative AI tools.Utilizing the latest advancements in machine learning and natural language processing to create, test, and deploy sophisticated algorithmic tools that support rigorous empirical research.Leading collaborative projects involving AI, machine learning, natural language processing, and large-scale experimentation.Assisting in the design and execution of randomized controlled trials and empirical methods to assess the effectiveness of AI-driven interventions.Working collaboratively with researchers to translate theoretical models into high-performance, production-ready systems.Co-authoring academic publications and technical reports for peer-reviewed journals and conferences.Staying updated on emerging technologies and research developments in AI, computational social science, and causal inference.Adhering to Harvard University’s IT standards, policies, and Code of Conduct.You will engage in projects such as:AI in Education: Designing and testing innovative AI technologies that provide personalized learning experiences for students, exemplified by our flagship tool, PingPong, currently undergoing evaluation in a large-scale randomized experiment across universities.

Join Cambridge Mobile Telematics (CMT), the world's leading telematics service provider, dedicated to enhancing road safety and improving driver behavior. Our cutting-edge AI platform, DriveWell Fusion®, integrates sensor data from millions of IoT devices—including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices—melding it with contextual information to deliver a comprehensive analysis of vehicle and driver interactions. Our insights empower auto insurers, automotive manufacturers, mobility companies, and public sector organizations to optimize risk assessment, safety protocols, claims processing, and driver improvement initiatives. Based in Cambridge, MA, with global offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT actively monitors and safeguards millions of drivers worldwide every day.As a Principal Software Engineer within our Trip Processing team, you will play a crucial role in delivering innovative technical solutions at the core of our advanced telematics pipeline. Collaborating closely with product and research teams, you will design, develop, and implement new features while mentoring junior engineers and enhancing our codebase. Your contributions will be vital in upholding our high standards of software quality to meet the expectations of our insurance partners.We seek a collaborative, customer-focused, and imaginative Principal Software Engineer II - Backend who is eager to help make roads safer and drivers more responsible!