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.

Awin

Purpose of the Position We are hiring a Software Engineer for the AI Solutions team to design, build and operate the backend systems, APIs and cloud-native services that power Awinʼs next-generation AI-native products. You will deliver production-grade features used by advertisers, publishers and partner managers to improve discovery, automation and decision-making through conversational experiences and intelligent workflows. This role combines strong backend engineering with practical exposure to AI-enabled application development. You will focus on building reliable, secure and maintainable systems that integrate LLMs and AI workflows into production, while collaborating closely with Senior AI Engineers, Data Engineers, Senior Software Engineers and Product Managers. The Team You will be joining the AI Solutions team in our Growth Domain. This team is responsible for building AI-native products and capabilities across the organisation. Our work is highly visible and every feature you ship can have a direct impact on how our customers operate and grow affiliate programs. The team works across conversational AI, intelligent automation, AI-assisted discovery etc., We partner closely with Product Managers, UX, Data Engineering and platform teams to move ideas from experimentation into reliable production systems. Our engineering culture is built on pragmatic problem solving, strong ownership, fast iteration and building production-ready systems with a strong operational mindset. We care deeply about reliability, observability, maintainability and delivering measurable customer value. Weʼre cloud-first on AWS, working primarily with a Python-based backend stack alongside modern AI tooling and infrastructure. The team practices Scrum and youʼll have the opportunity to contribute ideas, improve engineering practices and work closely with experienced engineers across AI, backend and platform domains. Along with access to learning platforms, hackathons and cross-team initiatives, you will have opportunities to grow your expertise in backend engineering, cloud-native systems and modern AI-enabled product development. What Youʼll Do * Design, build and operate scalable backend services and APIs for AI-enabled applications and workflows. * Collaborate with Senior AI Engineers and Data Engineers to integrate AI capabilities and LLMbased workflows into production systems. * Develop cloud-native services using Python and frameworks such as FastAPI on AWS with ECS, Lambda, RDS, S3 and ElastiCache/Redis. * Support AI orchestration and intelligent agent workflows, including inference pipelines, tool integrations and scalable AI workflow patterns. * Build and maintain CI/CD pipelines, automated testing and release processes.  * Improve observability and operational excellence through logging, monitoring, distributed tracing, alerting and production troubleshooting. * Participate in system design discussions, code reviews and architecture reviews. * Optimise backend services for performance, scalability, resilience and cost-efficiency.  * Work closely with Product Managers and cross-functional teams to translate user problems and business requirements into technical solutions. * Contribute to engineering culture through collaboration, ownership, knowledge sharing and continuous improvement. What Youʼll Bring * 3+ years of professional experience building backend systems and APIs in production environments. * Strong Python development skills and experience with frameworks such as FastAPI, Flask or similar. * Solid backend engineering fundamentals including API design, distributed systems, concurrency, caching and performance optimisation. * Experience working with AWS services such as ECS, Lambda, RDS, S3 and ElastiCache/Redis. * Infrastructure as Code experience using Terraform or Terragrunt. * Experience with PostgreSQL, Redis, Docker and CI/CD tooling such as GitHub Actions. * Working knowledge of Java and/or TypeScript with the ability to understand, contribute to or integrate with services and applications built using those technologies. * Understanding of observability, monitoring and operational best practices for production systems. * Ability to debug and troubleshoot issues across APIs, infrastructure and application services. * Strong collaboration and communication skills within agile product teams. * Interest in AI-enabled applications and willingness to work across backend, infrastructure and AI integration layers. Nice to Have * Implement and maintain Infrastructure as Code using Terraform and Terragrunt. * Exposure to AI/LLM application development or orchestration frameworks such as LangChain or LangGraph.  * Experience working with Angular for frontend integrations or internal tooling. * Familiarity with LangSmith or similar tracing and observability platforms. * Exposure to conversational AI systems, agent-based workflows or retrieval-augmented generation (RAG) concepts. Our Offer * Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves. * Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately. * Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions * Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches. * Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member. * Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location * Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program. 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

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.