Go AI Jobs

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Take part in building a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. Work on a focused, stream-aligned and cross-functional team (back-end, front-end, design) empowered to make its implementation decisions towards meeting its objectives. Gather and leverage domain knowledge and experience from the Data Scientists and Simulation Engineers using your product.

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As a Software Engineer on the Codex for Teams team, you will be responsible for shaping the evolution of Codex by identifying how teams actually use and sometimes break AI-powered software engineering tools, driving changes across product, infrastructure, and model behavior to make Codex a reliable teammate for organizations. You will build core team and enterprise primitives that enable Codex to scale, including role-based access control (RBAC), admin and audit surfaces, usage and rate limits, pricing controls, managed configuration and constraints, and analytics for deep visibility into Codex usage. You will design and own secure, observable, full-stack systems that power Codex across web, IDEs, CLI, and CI/CD environments, integrating with enterprise identity and governance systems (SSO/SAML/OIDC, SCIM, policy enforcement) and developing data-access patterns that are performant, compliant, and trustworthy. The role involves leading real-world deployments and launches by working directly with customers and the Go To Market team to roll out Codex, using live usage and operational feedback to rapidly iterate and improve the product and platform capabilities. This position owns systems end-to-end, from architecture and implementation to production operations, emphasizing quality and velocity.

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As a Forward Deployed Engineer, you will be the driving force behind customer deployments, taking AI solutions from early concept and pilot to production launch with enterprise-grade reliability. You will translate cutting-edge AI capabilities into practical, high-performance systems tailored to real-world customer needs, designing and implementing agentic voice AI solutions that integrate seamlessly into customer workflows and infrastructure. Your role involves prototyping, iterating, and deploying AI-driven systems in close collaboration with enterprise customers, working closely with customers to define success criteria and ensure they achieve meaningful outcomes on Cartesia's platform. You will have significant autonomy to shape customer solutions and directly impact how cutting-edge AI is deployed at scale across global organizations.

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As a Software Engineer on the Monetization Delivery team, you will architect, build, and optimize the ads delivery platform that serves ads in real time at global scale. You will design systems aimed at ensuring correctness, safety, and continuous optimization under heavy load. Your work will involve developing decision engines, ranking logic, and delivery pipelines that require strong performance, reliability, and privacy guarantees. You will partner with Product, Design, and Research teams to define requirements and drive novel solutions to highly complex technical problems. The role includes prototyping, experimenting, and deploying rapid iterations to improve delivery quality, relevance, and efficiency. Additionally, you will implement infrastructure and services that support ongoing measurement, optimization, and model-based improvements, ensuring operational excellence through monitoring, alerting, performance analysis, and rigorous testing. You will contribute to technical strategy and help shape the long-term roadmap of the ads delivery stack while building safety, fairness, and policy alignment into delivery systems from first principles.

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Work in small, autonomous teams oriented around customer problems. Contribute to the development of a simulation platform to test AI agents against real-world scenarios. Create intuitive, no-code content management tools to guide and test AI agents. Adapt traditional software development methodologies to accommodate AI agents' non-deterministic behavior, natural language interactions, and reliance on large language models. Accelerate generative agent creation using tools like Cursor and Claude Code and build self-improving systems based on real-world interactions, customer-driven feedback, and self-play.

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The Solution Architect is responsible for developing detailed and scalable architectural designs to address client needs using Articul8 products and third-party libraries and tools. They run pilot programs with customers to demonstrate the feasibility and advantages of proposed solutions, including introducing new product features or building prototypes. The role requires working closely with clients to understand business challenges and technical requirements through workshops, meetings, and presentations. They optimize solutions for performance, reliability, and cost-effectiveness, selecting appropriate instance types, auto-scaling configurations, and storage options. Ensuring solutions comply with security best practices and regulatory requirements is necessary, including implementing identity and access management, data encryption, and other security measures. The architect also creates comprehensive documentation and provides training on solution implementation and management. Collaboration with cross-functional teams such as Applied Research, Engineering, Quality Assurance, and Customer Success is required to incorporate innovation and maintain product leadership. Additionally, the role involves mentoring and guiding junior team members and helping to build a culture of rapid innovation.

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The Senior Solution Architect will guide customers through their entire AI journey from initial solution architecture and technical discovery in pre-sales to hands-on implementation and optimization post-sale. Responsibilities include deeply understanding customer business challenges and crafting AI prototypes on the Articul8 platform to address business objectives, leading technical workshops, hackathons, and training sessions to enable customers, collaborating with Sales, Product, and Engineering teams to position the platform and deliver solutions, overseeing installation, configuration, and scaling of the platform in customer environments with a focus on security, reliability, and performance, developing and implementing tailored workflow solutions, architecting and tuning Kubernetes-based environments on AWS, Azure, GCP, and on-premises, delivering enablement workshops and documentation for long-term customer autonomy, monitoring and refining deployments for cost-effectiveness, scalability, and resilience, and gathering customer feedback to influence product roadmap and enhancements.

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Design and build robust RESTful and GraphQL APIs using Python, Go, or Rust. Architect scalable systems for real-time AI/ML-powered applications. Partner with ML engineers and frontend developers to ship intelligent, user-facing features. Ensure performance, security, and reliability across hybrid (cloud/on-prem) environments. Lead technical architecture and long-term backend strategy. Drive best practices for code quality, observability, and API design. Mentor engineers and help grow a high-performance, AI-augmented engineering culture. Take ownership of customer deployments and support production excellence.

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Design and deploy scalable architectures for manufacturing use cases including industrial operations such as SCADA/HMI, EDA, IoT, Machine Learning, AI, and advanced analytics. Lead technical workshops, prototype solutions, and oversee platform deployment and optimization. Collaborate with product and engineering teams to incorporate customer feedback into the product roadmap. Advise customers on Articul8 product adoption strategies focusing on differentiating capability, security, cost, and operational efficiency. Architect and tune Kubernetes-based and containerized infrastructure leveraging cloud platforms (AWS, Azure, GCP, or on-premises) to ensure infrastructure excellence. Develop reusable solution templates and document best practices. Partner with sales and business development to drive cloud adoption and align solutions with industry trends. Continuously monitor and improve deployed solutions for performance and scalability. Communicate technical concepts clearly to diverse audiences and advocate for customer needs internally. Stay current with emerging manufacturing and cloud technologies to inform strategy and support other industry verticals when required.

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Design, develop, test, deploy, maintain, and improve scalable, secure, and high-performance backend systems with a focus on high availability, low latency, and cost-effectiveness. Serve as the subject matter expert in infrastructure for designing new products and introducing new technology to existing product lines. Collaborate closely with engineering and research teams to integrate infrastructure components with product features, ensuring optimal system performance and user experience. Design event-driven architectures and develop APIs and microservices to support real-time processing and analytics. Ensure system reliability, performance, and scalability through monitoring, logging, and error handling mechanisms. Stay updated with emerging trends, technologies, and methodologies to enhance infrastructure capabilities. Participate in code reviews, contribute to open-source projects, and mentor junior engineers.