AI/ML & Prompt Engineer – LLM, RAG, Voice Agent

This is a fully remote position, open to applicants in India.

📋 Description

• WHAT YOU WILL DO

• - Design and implement LLM- and RAG-based systems that process data sources, generate precise responses, and support both chatbot and voice agent interactions.

• - Create, refine, and optimize prompts and voice-agent dialogue flows to enhance response relevance, minimize latency, and ensure clinical safety across text and voice channels.

• - Collaborate with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture.

• - Monitor AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and apply continuous-learning enhancements.

• - Keep updated on the latest developments in LLMs, RAG, conversational AI frameworks, and regulations (GDPR, DTAC) to guide our technical roadmap.

• - Create and implement thorough test plans in partnership with QA to verify model accuracy, voice-agent performance, and compliance with healthcare standards.

• - Mentor junior engineers and promote best practices in MLOps, prompt engineering, voice-agent design, and model governance.

⛳️ Requirements

• ESSENTIAL

• - Proven hands-on experience with prompt engineering, LLMs (e.g. GPT, LLaMA, Mistral), RAG frameworks, and voice-agent or dialogue-system design, evidenced by shipped projects or open-source contributions.

• - Advanced proficiency in Python for ML/AI development.

• - Experience in building APIs using NestJS and familiarity with Next.js/React for frontend integration.

• - Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerization (Docker), and relational databases (MySQL).

• - Experience in designing microservices, distributed architectures, and RESTful or GraphQL APIs.

• - Excellent written and verbal communication skills, with the capability to explain complex AI and voice-agent concepts to both 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 tools.

• - Experience with MLOps pipelines, model monitoring, and automated evaluation frameworks.

• - Background in speech-to-text, text-to-speech, or telephony integration.

🏝️ Benefits

• WHAT WE OFFER

• - Competitive package based on experience.

• - Potential share options.

• - Professional development opportunities, including conference attendance and CPD support.

• - Remote working within a collaborative and supportive team.