Prompt Engineer & AI/ML Engineer - Chatbot, LLmM RAG & RAG - Remote
Job details
Job Title: Prompt & AI/ML Engineer – Chatbot, LLM, RAG Overview At PropertyLoop, we are transforming the UK property market through cutting-edge AI tools and technologies. As an AI/ML Engineer specialising in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Prompt Engineering, you’ll play a pivotal role in shaping how we leverage AI to enhance customer experiences. From designing AI-driven chatbots to optimising prompt-based interactions, this role offers a unique opportunity to work at the forefront of innovation. Your contributions will directly impact our LLM-powered knowledge-based chatbots and telephony AI call-handling services, empowering users with insightful, accurate information while driving business success. Responsibilities
- Design & Develop: Architect, develop, and deploy AI models focused on LLM and RAG to process and analyse property market data while improving chatbot and call-handling systems.
- Prompt Engineering: Develop and refine prompts to improve the accuracy and efficiency of AI outputs for various applications, including chatbots and telephony systems.
- Collaborate: Work closely with engineering, QA, and product teams to align AI performance with business objectives and deliver exceptional user experiences.
- Analyse & Iterate: Continuously monitor AI interactions, troubleshoot issues, and implement data-driven improvements to enhance performance.
- Innovate: Stay updated on advancements in AI technologies, LLMs, RAG, and conversational frameworks to incorporate best practices into our solutions.
- Integrate: Collaborate with the development team to integrate AI capabilities into our tech stack using Python, NestJS, NextJS, React, Azure, and MySQL.
- Test & Validate: Partner with dedicated QA resources to rigorously test AI systems, ensuring they meet and exceed project goals.
- Ownership: Take ownership of the chatbot service, providing technical recommendations to align with business strategies and future needs.
- Mentorship: Provide technical expertise and mentorship to junior team members.
- Proven experience with prompt engineering, LLMs, and RAG, with a portfolio or projects demonstrating expertise.
- Strong programming skills in Python and familiarity with NestJS, NextJS, React, Azure, and MySQL.
- Knowledge of Microsoft Microservices and distributed systems architecture.
- Bonus: Proficiency in ReactJS or similar front-end frameworks and NestJS or similar back-end frameworks.
- Ability to translate complex AI/ML concepts into practical, user-focused solutions.
- Strong analytical and problem-solving skills with attention to detail.
- Collaborative mindset to work effectively with cross-functional teams, including QA and product managers.
- Excellent communication skills to bridge technical concepts with business needs.
- A keen interest in the property market and leveraging AI to solve industry-specific challenges.
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