• Drive revenue growth in the U.S. West Coast region • Partner with enterprise customers, research institutions, and cloud organizations • Collaborate with internal engineering teams and solutions architects

ABOUT QUANTUMLOOPAI QuantumLoopAI is transforming how patients access healthcare. Our AI-powered reception system, EMMA, serves millions of patients, helping GP surgeries manage demand, reduce phone queues, and ensure patients get the right care at the right time. Backed by leading healthcare investors and working with stakeholders across England, we are building the future of primary care access. As we prepare for our Series A and expand our team, we are looking for exceptional people who want to make a genuine difference to healthcare. ABOUT THE ROLE As our AI/ML & Prompt Engineer, you will own the intelligence behind EMMA — the LLM and RAG systems that power our chatbot, voice agent and telephony services. You will design, build and optimise the AI models and prompt architectures that allow EMMA to understand patient needs, retrieve accurate clinical information, and respond naturally across text and voice channels. This is a hands-on, high-impact role where your work will directly shape patient outcomes across hundreds of GP surgeries. WHAT YOU WILL DO - Architect and deploy LLM- and RAG-based systems that ingest data sources, generate accurate responses, and power both chatbot and voice agent interactions. - Design, iterate and optimise prompts and voice-agent dialogue flows to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. - Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. - Instrument AI and voice-agent pipelines, analyse logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. - Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and (GDPR, DTAC) to inform our technical roadmap. - Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. - Mentor junior engineers and advocate for best practices in MLOps, prompt engineering, voice-agent design and model governance.

As vCluster’s AI Infrastructure Specialist, you will work directly with customers at the earliest and most critical stage of their journey: from bare metal GPU nodes through to a production-ready deployment. This is not a traditional professional services role; you operate pre-sale as part of a proof of value engagement scoped to reach production. You will be one of the first team members a neocloud or AI Factory engages with at a technical depth, and the playbooks you develop will scale the motion for the next hire and customer. vCluster is gaining rapid traction with GPU AI Clouds and enterprises building AI Factories: organizations that need to offer Kubernetes as a managed service on bare metal GPU infrastructure, and need to do it fast. This role exists to make that happen. As an AI Infrastructure Engineer, your role will include: - Lead Technical Deployments: Drive end-to-end technical deployments for GPU neocloud and AI Factory customers, from initial bare metal configuration to a validated vCluster environment. - Infrastructure Optimization: Configure and troubleshoot bare metal GPU node infrastructure, including CNI configuration, GPU Operator setup, distributed storage backends, and RDMA/InfiniBand. - Validation: Deploy and validate Kubernetes and vCluster to provide GPU-powered managed K8s. - Knowledge Transfer: Work alongside customer teams to build self-sufficiency, ensuring they can operate and grow the platform independently. - Scaling through Documentation: Document reusable playbooks and deployment architectures so your learnings become the next customer's head start. - Feedback Loop: Collaborate with Engineering and Product to surface recurring infrastructure challenges, acting as a direct feedback loop from the field into the roadmap. - Strategic Partnering: Join Sales in the pre-sales process where deep infrastructure work is required to achieve a meaningful proof of value. This role could be a fit for you if you bring: - Production K8s Mastery: 5+ years of experience deploying and operating Kubernetes in production, ideally on bare metal or in high-complexity environments. - GPU Fluency: Practical knowledge of NVIDIA GPU Operators, CUDA tooling, and systems-level configuration for GPU nodes. - Networking Fundamentals: Deep understanding of CNI plugins, overlay networks, load balancing, and connectivity diagnosis in layered environments. - Storage Expertise: Experience with persistent volume configuration, CSI drivers, and distributed systems like Ceph, Rook, Weka, or Longhorn. - Operational Agility: Comfort operating in ambiguous, fast-moving environments where you are often writing the playbook in real time. - Modern Tech Mindset: You thrive in environments that reject legacy tech and prefer a modern stack where you can solve a variety of problems from pipelines to internal services. Bonus points for: - Automation Skills: Experience writing automation scripts with Bash, Python, or Go. - Kubernetes Depth: Relevant certifications such as CKA (Certified Kubernetes Administrator) or experience writing Kubernetes Operators. - AI/ML Familiarity: Experience with inference serving, GPU scheduling, and the tooling around LLM deployment. - Documentation: Experience building AI Automation in documentation to contribute to a shared knowledge base. About vCluster Labs We are a venture-backed tech startup striving to be the leading force in enabling platform engineers. We raised +$30M from top-tier VCs such as Khosla Ventures (first investor in OpenAI, GitLab, Stripe, Doordash) and are in a hyper-growth phase looking for motivated people to complement our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe and we have a remote-first work culture. We're the company behind vCluster, an open-source technology for virtualizing Kubernetes (+10k GitHub stars). Open source is part of our DNA. The adoption of our commercial product based on vCluster has grown extremely fast (multi-million dollar revenue) and our customer base includes some of the biggest companies in the world, including 6 Global Fortune 500 companies as well as some of the fastest-growing tech unicorns. Benefits We offer the following benefits: - Competitive Salary: We offer a competitive compensation package, including equity. - Platinum-Level Insurance: Health, dental, vision, and life Insurance, including plans for you and eligible dependents (benefits vary depending on country). - Flexible Working Schedule: You have a doctor’s appointment or need to head to the supermarket to get groceries at 2pm? We won’t have an issue with that. To us, results matter more than clocking in and out at the same time every day. - Workplace Flexibility: We’re very flexible about where you work. We know things can change in life and we’re happy to adjust the work environment for you along the way. Culture & Values At vCluster Labs, we value and stand for: - Open Source, Open Mind: We are actively contributing to and maintaining open-source projects. Internally, we foster meritocracy — the strongest ideas win, no matter who or where they come from. - Build Tomorrow’s Standards, Intentionally: We don't just ship software; we define the state-of-the-art of tomorrow. We are fearless in tearing down old approaches to build something better, but we are disciplined in how we do it because we know our users rely on our technology to run mission-critical infrastructure platforms. - Create Wow: We measure success by the experience we generate, both inside and outside the company. For our customers, this means impressive speed and intuitive experiences. For our team, this means going the extra mile to support one another and to continuously drive each other to new heights. - Own the Outcome: We understand that our responsibility doesn't end when a task is checked off; it ends when the value is delivered. We connect our daily individual actions to the broader success of the company and our customers.

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Thermo Fisher Scientific Language Services is looking for an Italian Language Specialist with experience in clinical translation and quality assurance to join the internal team. Essential functions would include: - Coordinating and managing the final quality of assigned translations to ensure a high quality standard. - Running language assets, e.g. translation memories, terminology and style guides. - Performing occasional linguistic tasks including initial translation and revision - Performing quality checks on clinical translations (ICFs, protocols, IBs, patient diaries, etc.). - Developing and maintaining terminology for the Italian language - Ensuring Italian translation memories are updated. - Setting and executing linguistic quality assurance process for the assigned language globally as required. - Using CAT technology to monitor quality of outsourced language translations and external suppliers. - Analyzing language quality issues and working on any quality improvement plans with project management. Applicants should meet one of the below educational/professional requirements: - Bachelor's degree in translations, linguistics or language studies with significant translation studies from a recognized institution or higher education. - Bachelor's degree in another field and 2 years of full-time translation experience (preferred in clinical translation). - If no Bachelor's degree, 5 years of full-time translation experience (preferred in clinical translation). Preferred Knowledge, Skills and Abilities: - Native Language: Italian - CAT/TMS Tool Experience Required Proven Terminology and TM experience required - Proven skills of multi-tasking, time management, organization, and attention to detail - Excellent oral, written, and interpersonal communication skills - Proficiency in MS Office suite