AI/ML & Prompt Engineer LLM, RAG & Voice Agent
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 10h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 166d ago
The date the source published, not the day we noticed it (2026-04-02). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $6,750–7,250/mo
Middle 50% of 9 listings that do state pay — Engineering · all levels · India · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 11d ago · last seen 1h ago
The listing
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
At QuantumLoopAI, you will join a team that is genuinely improving primary care. We move fast, take ownership, and celebrate wins together. Our culture values:
- 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.
COME WORK WITH US
We would love to hear from you. Questions about this role? Contact careers@quantumloopai.com