Senior Product Security Engineer - AI & LLM

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a group driven by technology and data, implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will work within a production support function responsible for maintaining the stability and performance of trading systems and supporting infrastructure. The role focuses on providing direct support to users, investigating system issues, and ensuring the reliability of trading workflows across multiple markets. You will interact with internal and external stakeholders to manage both trading infrastructure and supporting systems on a daily basis. Your future role within QRT * Provide user support for investigation and resolution of issues impacting front office trading flows and LLM based systems * Monitor and maintain trading infrastructure to ensure system availability and stability * Support trading platforms across Windows and Linux environments * Ensure all trading components are operational before the start of each trading day * Coordinate with engineering and business teams to resolve incidents and minimise disruption * Support release management processes to maintain a stable production environment * Maintain and support databases and associated processes * Develop tools to improve monitoring and operational visibility * Contribute to the design and implementation of monitoring, dashboards and alerting solutions * Participate in on call support including evening and weekend coverage when required Your present skillset * Experience supporting trading systems including manual trading applications, algorithmic trading platforms, connectivity systems and risk systems * Understanding of monitoring metrics and ability to analyse system data * Familiarity with large language model (LLM) concepts and hosting environments * Strong experience with Windows and Linux system administration * Proficiency in scripting using Bash, PowerShell, Command Prompt or Python * Solid experience with relational databases such as SQL Server or PostgreSQL * Strong problem solving ability and ownership of issue resolution * Experience working in production support roles within fast paced environments * Ability to communicate effectively with technical teams and business users * Experience managing expectations of traders or senior stakeholders is beneficial * Knowledge of financial markets including Equities, Futures, Commodities or Foreign Exchange is beneficial * Familiarity with market data systems, execution systems or algorithmic trading is beneficial QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work life balance.

Awin

About the AI Platform Team The AI Platform Team enables Awin teams to build, ship, and operate AI-powered products safely, consistently, and efficiently. We focus on the shared platform and enablement layer for AI development across the company. That includes reusable services, internal APIs and SDKs, platform patterns, observability, evaluation support, guardrails, cost visibility, and practical guidance that helps teams move from experimentation to production with confidence. This is a team for engineers who enjoy building internal platforms, creating paved roads for others, and raising the engineering quality bar for AI development across the organization. About the role We are looking for a Senior AI Platform Engineer - Security & Governance to join the AI Platform Team and help define and implement the guardrails, privacy patterns, governance mechanisms, and safe defaults that allow AI adoption to scale responsibly across Awin. In this role, you will work on the safety and control layer of AI development: AI security patterns, privacy and PII handling guidance, provider and model governance, reusable guardrails, and lightweight readiness mechanisms that improve safety without creating unnecessary process. This role is best suited to someone who combines strong engineering judgment with real practical experience in security, governance, privacy, or compliance for AI-powered systems. We care more about evidence of sound decision-making and pragmatic implementation than about titles or years in a specific niche. What youʼll do * Define and improve practical guardrails and safe defaults for AI-powered systems * Help shape Awinʼs approach to privacy, PII handling, and data-safe patterns for AI workflows * Contribute to approved provider and model guidance, including practical validation and usage expectations * Work with engineers to translate policy, risk, and governance needs into reusable platform patterns and engineering controls * Help define production-ready expectations for AI systems from a safety, governance, and risk perspective * Contribute to readiness checks, automated validations, and scalable governance mechanisms that reduce reliance on manual approval processes * Help improve logging, tracing, and observability practices so AI systems are auditable and safer to operate * Partner closely with Security, Legal, Architecture, and product engineering teams to ensure standards are practical and proportionate * Support teams in understanding AI-specific risks such as unsafe outputs, provider misuse, privacy exposure, and poor trace hygiene * Write clear documentation, patterns, and guidance that help teams apply standards consistently * Contribute to strong engineering practices across the team through clean code, testing, and collaboration  * Mentor others and help raise the teamʼs overall maturity in AI safety, governance, and privacy-aware engineering Requirements * Strong software engineering fundamentals and experience working on production systems * Practical experience in security, governance, privacy, compliance, or risk-related engineering work * Clear hands-on experience applying those controls to AI- or LLM-powered systems * Strong understanding of AI-specific risks, including privacy exposure, PII handling, unsafe outputs, provider/model risk, and misuse or abuse patterns * Experience translating policy or risk requirements into practical engineering controls, patterns, or defaults * Good understanding of how to make AI systems observable, auditable, and safer to operate in production * Ability to work effectively with engineers, architects, and non-engineering stakeholders such as Security or Legal * Good practical experience with Python and/or JavaScript / TypeScript * Comfortable working across the lifecycle of a platform capability, from design and implementation to rollout and iteration * Good understanding of information security and how to design solutions with security in mind * Comfortable applying unit testing, continuous integration, and continuous deploymentStrong communication skills, both synchronous and asynchronous * Comfortable working through ambiguity and helping shape standards where the right balance between safety and speed is still evolving * Strong judgment and pragmatism, with an ability to improve safety without introducing excessive bureaucracy Nice to have * Experience designing or implementing guardrails for AI or LLM-powered systems * Experience with AI governance automation, readiness gates, policy checks, or preflight validation patterns * Familiarity with tracing, auditability, and logging standards for AI systems * Familiarity with evaluation workflows, regression checks, and production readiness practices for AI * Experience assessing third-party AI providers or model usage from a risk or governance perspective *  Experience with privacy-by-design patterns in data-sensitive systems * Experience working in regulated or higher-risk environments * Experience writing clear developer guidance and turning repeated risk questions into reusable standards Tools and technologies you may work with: * Python * JavaScript / TypeScript * Azure / AWS * LLM APIs * CI/CD tooling * Observability and tracing tools * Policy and validation patterns * Internal platform services, standards, and governance tooling Working style We are looking for someone who enjoys building in a space that is evolving quickly, but who stays grounded in pragmatic engineering and long-term platform value. A strong fit for this role is someone who: * Thinks clearly about real-world AI risk, not just theoretical concerns * Can balance safety, speed, and developer experience * Communicates clearly and helps others understand trade-offs * Prefers reusable controls and automation over manual gatekeeping * Is comfortable collaborating across engineering, security, architecture, and legal boundaries * Writes clear, actionable guidance rather than vague policy language * Is proactive about identifying risk patterns early and turning them into scalable solutions * Enjoys helping other engineers build safer systems without slowing them down unnecessarily Our Offer * Flexi-Week: We prioritise your mental health and wellbeing by offering you a four-day Flexi-Week (with one lighter or completely disconnected day per week) at full pay, with no reduction to your annual holiday allowance. * Flexi-office: We offer an international culture and flexibility through our hybrid/remote working scheme which is designed to foster a culture of mutual trust and working flexibility. * Work Expense Contribution & Remote Working Furniture: You will receive a monthly allowance to cover part of your running costs, as well as a furniture package to support you in setting up a comfortable workspace when working from home. * Health and Wellbeing: With our support and access to various initiatives and sports offers, you can focus on your mental and physical wellbeing. * Development: We’ve built our extensive training suite, Awin Academy, to cover a wide range of skills that support your professional and personal growth, with trainings conveniently packaged to help your overall development. * Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer recognition programme. We are hiring in multiple countries for this role. Additional benefits, including health and wellbeing offerings, will be discussed during the initial interview. Established in 2000, Awin is proud of our dynamic, social and inclusive culture. Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities. Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know. Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why   Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development. #LI-RS1

Lovable

TL;DR: We're looking for an exceptional senior engineer and technical leader for the security team to help make Lovable the most secure AI-powered software creation platform on the planet. Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for * 10+ years of engineering experience shipping production-grade products at high velocity, with a track record operating at senior engineering levels. * Deep, fluent command of React/TypeScript on the frontend and Golang on the backend. * Experience in one or more of: product security features (audit flows, compliance tooling, scanner interfaces), or code security and static analysis (SAST, linters, vulnerability scanners, or similar). * Solid understanding of systems design, performance tradeoffs, and scalable architecture. * Strong product sense - you can take something complex and make it feel simple and actionable for the user. * Familiarity with AI/LLM-powered tooling, or a background that involved dense algorithmic or systems work. * You're comfortable navigating ambiguity and driving clarity at an organisational level, not just technically. * You're based in Stockholm or ready to relocate - this is an on-site, 5-days-a-week role. What you’ll do In one sentence: Build the security features and systems that make Lovable the most trusted AI software creation platform in the world. * Build security product features end-to-end - audit flows, security scanner UI, compliance tooling, design and implement static analysis and more. * Integrate AI/LLM capabilities into security workflows to detect, explain, and remediate vulnerabilities. * Ship across the full stack as part of a small, self-sufficient team, owning your work from the first commit to production. * Advocate for secure coding practices, conduct security-focused code reviews, and raise the bar across the engineering org. * Influence our technical direction and product strategy with a security-first mindset. Our tech stack * Frontend: React and Typescript. * Backend: Golang and Rust. * Cloud: Cloudflare, GCP, AWS, multiple LLM providers. * DevOps & Tooling: GitHub Actions, Grafana, OTEL, infra-as-code (Terraform). * Data: Clickhouse, Firestore, Spanner, BigQuery. And we’re always exploring what’s next! About your application Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested, please apply through our careers portal.