Production Support 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 technology and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s 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 build and operate QRT's internal AI application platform, enabling researchers, developers, and data scientists to leverage LLM-powered tools effectively and reliably. Your focus will be on production AI services, including RAG systems, agentic workflows, retrieval infrastructure, and the APIs that make these capabilities available across the firm. You will work closely with Platform Engineering and AI users to deliver scalable, high-quality solutions. You will own AI services used across the firm and help shape how AI capabilities are delivered to researchers and engineers.     Your future role within QRT:   AI Platform Development * Develop and maintain internal AI services and APIs * Build and improve RAG pipelines, including document ingestion, embeddings, retrieval, and relevance optimisation * Manage vector database performance, scalability, and data freshness * Design clear, well-documented APIs for internal users * Support agentic workflows and the services they depend on Platform Reliability & Quality * Integrate model serving endpoints into application-layer services * Define and monitor service objectives around latency, reliability, and retrieval quality * Implement prompt management, versioning, evaluation, and testing frameworks * Build resilient systems with fallback and degradation mechanisms Operations & Observability * Implement monitoring, tracing, logging, and quality metrics across AI services * Manage service lifecycle activities, including deployment, rollout, versioning, and deprecation * Participate in operational support and incident response   Your present skillset:   * 4+ years of experience in software or platform engineering, with exposure to AI/ML or LLM-based applications * Strong Kubernetes experience and familiarity with containerised environments * Good knowledge of AWS, networking fundamentals, IAM, and cloud infrastructure * Hands-on experience building and operating production RAG systems * Experience with vector databases and retrieval systems * Strong Python skills and experience building production APIs and services * Understanding of LLM fundamentals, including prompting, context management, token constraints, and output reliability * Strong communication skills and the ability to collaborate across technical and non-technical teams Nice to Have * Experience with agentic AI systems and workflow orchestration * Familiarity with LLM evaluation frameworks and quality measurement * Exposure to model serving platforms and inference optimisation * Understanding of embedding model trade-offs and retrieval performance * Experience with data engineering or AI-related data pipelines * AWS or Kubernetes certifications   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.

Toast

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future. AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle. As a Principal Software Engineer, you'll set the technical direction for how we design, build, and evolve these systems, working full-stack across the agentic workflows that employees across Toast depend on every day. This role is for someone who can drive architecture, raise the engineering bar across the team, and stay hands-on building. A day in the life (Responsibilities) * Define and drive the technical architecture for AI Foundations platform, spanning backend services, frontend tooling, and third party integrations * Lead full-stack design and delivery across the LLM proxy, AI key management, observability pipelines, and internal plugin marketplace * Architect and deliver autonomous agents and MCP services that participate in the software development lifecycle * Set and uphold engineering standards across the team: code quality, system design, testing, and operational practices * Mentor and technically lead engineers across all levels through design reviews, code reviews, and pairing * Partner with product and platform leadership to shape the AI Foundations roadmap and translate strategy into executable technical plans * Collaborate closely with designers and product teams to translate UX concepts into polished, production-ready frontend experiences * Serve as a key technical voice in cross-team discussions, representing AI Foundations in architecture decisions across Toast engineering What you'll need to thrive (Requirements) * 10+ years of experience designing and delivering scalable software systems, with a strong full-stack background spanning backend services and frontend or developer-facing interfaces * Demonstrated experience leading technical architecture for a platform, product, or engineering team * Proven ability to mentor engineers and raise the technical bar of a team through standards, reviews, and hands-on guidance * Experience building, deploying, or operating LLM-powered agents or AI platform infrastructure * Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and experience extending them through custom plugins, skills, or hooks * Experience with MCP, tool use patterns, or agentic frameworks * Strong foundation in modern backend (Java, Kotlin, or similar) and frontend (TypeScript, React, or similar) technologies, with demonstrated experience building user-facing product interfaces * Comfort with a rapidly changing technical landscape and a bias towards action over analysis paralysis What will make you stand out * Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns * Experience with machine learning concepts, model evaluation, or ML infrastructure * Experience building developer experience platforms or internal tooling * Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog) **This role requires a minimum of two days per week in our Dublin office** AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy  We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Maze

Summary of the Role: As an Engineer at Maze, you'll play a pivotal role in shaping our product, with significant focus on the development of AI Agents and ML systems. You will have the unique opportunity to design, build, and scale a product from the ground up, influencing everything from architecture decisions to ML integrations and the overall user experience. This is an exciting chance to be at the core of our technical team, driving innovation in AI-powered cybersecurity solutions and ensuring seamless integration across the stack. Your Contributions to Our Journey: * AI Agents: Play a pivotal role in the development and scaling of complex AI Agents to tackle some of the biggest challenges in cybersecurity. * Architect and Develop: Design and implement backend systems that effectively support agentic workloads, ensuring they are scalable, maintainable, and secure. * End-to-End Ownership: Take ownership of the entire development lifecycle, from concept and design to deployment and maintenance. * Integrate Seamlessly: Work closely with other engineers, our designer/product manager to ensure seamless integration of new features and services. * Optimize for Performance: Continuously monitor and improve application performance, security, and scalability. * Establish Best Practices: Define and enforce coding standards, best practices, and documentation to maintain high code quality. * Rapid Prototyping: Quickly prototype and iterate on new features, adapting to user feedback and changing requirements. * Mentor and Lead: As the team grows, mentor junior engineers and lead by example in technical discussions and code reviews. What You Need to Be Successful: * Extensive Experience: 7+ years of experience in backend development * Backend Mastery: Strong experience with backend development, including RESTful API design, database management, and server-side frameworks (e.g., Python). * ML/AI Understanding: Working knowledge of machine learning principles and experience integrating LLMs or other AI services into production applications. Familiarity with tools like LangChain, LlamaIndex, or similar frameworks is a plus. * Cloud Experience: Familiarity with cloud platforms (e.g., AWS) and their ML services, along with DevOps practices, including CI/CD and containerization (e.g., Docker, Kubernetes). * Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering robust and scalable solutions. * AI Systems Architecture: Understanding of how to architect systems that effectively leverage AI capabilities while maintaining performance and reliability. * Collaborative Spirit: Excellent communication skills and the ability to work effectively in a cross-functional team. * Agility and Adaptability: Comfort working in a fast-paced startup environment with the ability to pivot and adapt as needed, particularly in the rapidly evolving AI landscape. Why Join Us: * Ambitious Challenges: We are using Generative AI (LLMs and Agents) to solve some of the most pressing challenges in cybersecurity today. You’ll be working at the cutting edge of this field, aiming to deliver significant breakthroughs for security teams. * Expert Team: We are a team of hands-on leaders with deep experience in Big Tech and Scale-ups. Our team has been part of the leadership teams behind multiple acquisitions and an IPO. * Impactful Work: Cybersecurity is becoming a challenge to most companies and helping them mitigate risk ultimately helps drive better outcomes for all of us.