AI/ML & Prompt Engineer LLM, RAG & Voice Agent
Q
QuantumLoopAIHealthcare
India, UK business hours (9:00 AM to 6:00 PM GMT/BST)Full-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- DockerPythonMySQLNest.jsNext.jsReactRESTful APIsMicroservicesPrompt Engineering
Requirements
- Demonstrable hands-on experience with prompt engineering
- Experience with LLMs (e.g. GPT, LLaMA, Mistral)
- Experience with RAG frameworks
- Experience with 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
- Familiarity with Next.js/React for frontend integration
- Strong understanding of Azure services (App Services, Functions, Cognitive Services)
- Strong understanding of containerisation (Docker)
- Strong understanding of relational databases (MySQL)
- Experience designing microservices
- Experience designing distributed architectures
- Experience designing RESTful or GraphQL APIs
- Excellent written and verbal communication skills
- Comfortable working remotely and collaborating asynchronously with a UK-based team during UK business hours (9:00 AM to 6:00 PM GMT/BST)
Responsibilities
- 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.
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