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For Companies At a Glance
- Tasks: Design and optimise AI models for our innovative healthcare chatbot and voice agent.
- Company: Join QuantumLoopAI, transforming patient access to healthcare with cutting-edge technology.
- Benefits: Competitive salary, potential share options, remote work, and professional development opportunities.
- Why this job: Make a real impact on patient outcomes while working with advanced AI technologies.
- Qualifications: Experience in prompt engineering, LLMs, and strong Python skills required.
- Other info: Fully remote role with flexible start date and a focus on learning and collaboration.
The predicted salary is between 60000 - 80000 ÂŁ per year.
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.
Requirements
ESSENTIAL
- Demonstrable hands‑on experience with prompt engineering, LLMs (e.g. GPT, LLaMA, Mistral), RAG frameworks, and voice‑agent or dialogue‑system design, with shipped projects or open‑source contributions.
- Advanced proficiency in Python for ML/AI development.
- Experience building APIs in NestJS and familiarity with Next.js/React for frontend integration.
- Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL).
- Experience designing microservices, distributed architectures and RESTful or GraphQL APIs.
- Excellent written and verbal communication skills, with the ability to articulate complex AI and voice‑agent concepts to technical and non‑technical stakeholders.
- Comfortable working remotely and collaborating asynchronously with a UK‑based team during UK business hours (9:00 AM to 6:00 PM GMT/BST).
DESIRABLE
- Contributions to open‑source LLM or RAG tooling.
- Experience with MLOps pipelines, model monitoring and automated evaluation frameworks.
- Background in speech‑to‑text, text‑to‑speech, or telephony integration.
LOGISTICS
Education: We value skills and experience over formal qualifications. Working arrangements: Fully remote from India, aligned to UK business hours (9:00 AM to 6:00 PM GMT/BST). Start date: Flexible.
Benefits
WHAT WE OFFER
- Competitive package depending on experience.
- Potential share options.
- Professional development including conference attendance and CPD support.
- Remote working with a collaborative, supportive team.
How We Are Different
- Impact over optics. We measure success by patient outcomes, not busy work.
- Transparency. Open communication, honest feedback, shared context.
- Ownership. You will have real autonomy to shape your work and our product.
- Learning. We are building something new, and we learn from every experiment.
DIVERSITY AND INCLUSION
We believe diverse teams build better products. We welcome applications from candidates of all backgrounds, and we are committed to creating an inclusive environment where everyone can do their best work. If you are excited about this role but do not meet every requirement, we would still love to hear from you.
RECRUITMENT SAFETY NOTICE
QuantumLoopAI will never ask candidates for payment or sensitive financial information during the recruitment process. All official communications come from @quantumloopai.com email addresses.
CONTACT
We would love to hear from you. Questions about this role? Contact careers@quantumloopai.com.
AI/ML & Prompt Engineer LLM, RAG & Voice Agent employer: QuantumLoopAi
Contact Detail:
QuantumLoopAi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML & Prompt Engineer LLM, RAG & Voice Agent
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with folks on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML and prompt engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI/ML roles. Think about how you’d explain complex concepts simply, as you’ll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our mission to transform healthcare access.
We think you need these skills to ace AI/ML & Prompt Engineer LLM, RAG & Voice Agent
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with LLMs, RAG frameworks, and prompt engineering. We want to see how your skills align with what we're doing at QuantumLoopAI!
Showcase Your Projects: If you've worked on any relevant projects or contributed to open-source, don’t hold back! Share links or details in your application to give us a taste of your hands-on experience.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain complex concepts, as we value communication skills just as much as technical expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at QuantumLoopAi
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest LLMs and RAG frameworks. Brush up on your knowledge of prompt engineering and voice-agent design, as these are crucial for the role. Be ready to discuss specific projects or contributions you've made in these areas.
✨Showcase Your Coding Skills
Since advanced proficiency in Python is essential, prepare to demonstrate your coding skills during the interview. You might be asked to solve a problem on the spot, so practice coding challenges related to ML/AI development beforehand.
✨Communicate Clearly
You’ll need to articulate complex concepts to both technical and non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact they had on patient outcomes or system performance.
✨Familiarise Yourself with Azure Services
As the role involves working with Azure-hosted microservices, make sure you understand the relevant Azure services like App Services and Functions. Be prepared to discuss how you’ve used these in previous roles or projects.