Manager Information Security
You will be responsible for defining operational domains and evaluating the reliability of the AI capabilities developed in-house. You will develop and extend the state-of-the-art in uncertainty quantification and uncertainty calibration. This involves understanding the AI systems built, interfacing with them, and evaluating their robustness in real-world and adversarial scenarios. You will contribute to impactful projects and collaborate with people across several teams and backgrounds.
Software Engineer Systems Research Internship, Applied Emerging Talent (Summer 2026)
The responsibilities of the systems research internship include investigating hard systems problems at the intersection of systems engineering and research, building meaningful systems or prototypes, and carefully measuring their impact to improve Applied Systems' efficiency, scalability, and reliability. Typical focus areas are distributed systems and storage, compute and scheduling, performance engineering, reliability and observability, networking and data pipelines, and systems for machine learning. Internship projects may involve defining hypotheses, instrumenting existing production systems to gather metrics and analyze them, building or modifying real systems, conducting experiments and benchmarks, analyzing results, clearly communicating tradeoffs and recommendations, and publishing research in technical journals and conferences.
Software Engineer, Backend
Design, build, and own backend systems end-to-end, including services, APIs, data pipelines, and infrastructure that power the products. Solve complex technical challenges across distributed systems, scaling, concurrency, and performance. Integrate and operate large generative AI models in production by deploying, serving, and scaling systems that combine internal research and external capabilities to unlock new product experiences. Instrument, experiment, and iterate in production to continuously improve system and product quality. Design and operate core platform infrastructure, including integrations with third-party providers, storage systems, security, and internal APIs.
Software Engineer, Voice Agents / AI - Deepgram for Restaurants
Design, develop, and maintain scalable, high-performance backend systems for an automated order-taking platform. Collaborate closely with the team to ensure seamless integration of backend systems with machine learning models and client devices. Monitor and optimize backend performance in production environments. Build and maintain integrations with third-party restaurant software systems such as POS, loyalty, payment gateways, and customer data platforms. Implement best practices in system design, code quality, and testing to ensure reliability, security, and maintainability. Optimize AI pipelines for better performance in challenging audio environments, handle ambiguous customer requests robustly, and rapidly scale to new menus. Push the boundaries of large language models (LLMs) and voice AI technology. Run experiments to validate the product impact of new functionalities.
Product Manager - Testing and Validation
Responsible for defining operational domains and evaluating the reliability of AI capabilities developed in-house, developing and extending state-of-the-art methods in uncertainty quantification and uncertainty calibration, understanding AI systems, interfacing with them, and evaluating their robustness in real-world and adversarial scenarios. Contributing to impactful projects and collaborating with people across several teams and backgrounds.
Software Engineer - AI Trainer
Use software engineering experience to design job-related coding questions and review AI-generated responses for correctness, efficiency, clarity, and alignment with real-world engineering practices. Evaluate AI-generated code and technical content, provide structured feedback, and help improve AI's understanding of programming tasks, system design, and engineering best practices.
Full Stack AI Engineer – BuilderEx
Design, build, and maintain full-stack applications powering identity and access management (IAM) experiences. Develop and integrate AI/ML models for identity use cases such as fraud detection, anomaly detection, risk-based authentication, and identity verification. Lead and execute SSO migrations across products and platforms, consolidating authentication flows while minimizing user disruption. Drive domain consolidation initiatives by unifying identity systems, services, and user data models across multiple platforms or brands. Improve developer experience by building internal tools, SDKs, APIs, and documentation that simplify identity integrations. Design and evolve secure, scalable APIs supporting authentication, authorization, and identity data services. Partner with Security, Platform, and Product teams to implement and standardize protocols and patterns such as OAuth 2.0, OpenID Connect, SAML, JWT, and zero-trust architectures. Ensure AI-powered identity systems are observable, explainable, and production-ready with robust monitoring and feedback loops. Balance security, performance, and usability while maintaining privacy and compliance. Contribute to architectural decisions, technical design discussions, and code quality standards.
Systems Engineer - Ground and Control (Air)
You will be responsible for defining operational domains and evaluating the reliability of the AI capabilities developed in-house. You will develop and extend the state-of-the-art in uncertainty quantification and uncertainty calibration. This will involve understanding the AI systems built, interfacing with them, and evaluating their robustness in real-world and adversarial scenarios. You will contribute to impactful projects and collaborate with people across several teams and backgrounds.
Senior Backend Engineer
Design, build, and own the core backend systems, including services, data models, and business logic powering Clarion’s AI agents and healthcare workflows. Build infrastructure for multi-step, asynchronous workflows with conditional logic, retries, and failure handling. Own integrations with EHRs and legacy healthcare platforms via APIs and RPA. Create internal abstractions and tooling for deploying and customizing AI assistants for new customers. Implement and maintain backend authentication, authorization, and HIPAA-compliant architecture for enterprise healthcare.
Security engineer, application security (UK)
As a security engineer, applications at WRITER, you will build the security foundations protecting AI systems used by major brands. Responsibilities include conducting threat modeling sessions with product teams, designing secure architectures for new features, and ensuring security considerations are integrated from the start of product development. You will own and evolve the application security program, establish and maintain SAST/DAST scanning in CI/CD pipelines, perform security code reviews for critical changes, and build automation to detect vulnerabilities before production. You will partner with engineering teams to establish secure coding standards, create reusable security patterns and libraries, and design security features to protect customer environments. Integrating AI agents to improve security team efficiency, leading security assessments and penetration testing of applications, AI services, and APIs, as well as designing and implementing security controls for data pipelines, model training, and customer AI agents are also key duties. Additionally, you will research emerging threats specific to AI/ML security and build defenses against new risks.
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