We are seeking a talented Full Stack Developer with strong expertise in Generative AI and Natural Language Processing to join our team. You will play a key role in designing, developing, and scaling cutting-edge LLM and Generative AI applications that transform user experiences. Responsibilities Develop backend logic and intelligent workflows by leveraging pre-trained AI models such as large language models (LLMs) and natural language understanding (NLU) engines. Integrate and operationalise NLP and Generative AI models (e.g., OpenAI, Hugging Face, or custom LLMs) in production environments. Implement speech processing pipelines, including automatic speech recognition (ASR) and text-to-speech (TTS) technologies. Apply techniques like LLM fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG) to enhance AI system performance. Design and deploy scalable full-stack solutions—both frontend and backend—that support AI-driven applications. Work with vector databases, document stores, and unstructured data sources to enable contextual AI retrieval and responses. Utilise cloud platforms like AWS/Azure effectively to host, manage, and scale AI-enabled services. If you are passionate about combining full-stack development with AI and LLM technologies to build innovative text and voice applications, we would love to hear from you. Qualifications 3+ years of hands-on experience in full-stack application development, with a strong grasp of both frontend and backend technologies. 1–2 years of proven experience in designing and implementing AI-driven conversational systems. Deep understanding of integrating Speech-to-Text (STT) and Natural Language Processing (NLP) components into production-ready systems. Nice-to-Have Skills: Exposure to MLOps practices, including model deployment, monitoring, lifecycle management, and performance optimisation in production environments What You’ll Get: Opportunity to work on one of the most advanced AI systems. A high-performing, fast-paced startup culture with a deep tech focus

As a talented Full Stack Developer with expertise in Generative AI and Natural Language Processing, you will be a key member of our team, contributing to the design, development, and scaling of cutting-edge LLM and Generative AI applications to enhance user experiences. Your responsibilities will include developing backend logic and intelligent workflows using pre-trained AI models such as large language models (LLMs) and natural language understanding (NLU) engines. You will integrate and operationalise NLP and Generative AI models in production environments, including speech processing pipelines like automatic speech recognition (ASR) and text-to-speech (TTS) technologies. Applying techniques such as LLM fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG) will be crucial for enhancing AI system performance. Moreover, you will design and deploy scalable full-stack solutions supporting AI-driven applications, working with various data sources to enable contextual AI retrieval and responses. Utilising cloud platforms like AWS/Azure effectively for hosting, managing, and scaling AI-enabled services will also be part of your role. If you are passionate about combining full-stack development with AI and LLM technologies to create innovative text and voice applications, we look forward to hearing from you. Qualifications: - 3+ years of hands-on experience in full-stack application development with a strong understanding of frontend and backend technologies. - 12 years of proven experience in designing and implementing AI-driven conversational systems. - Deep knowledge of integrating Speech-to-Text (STT) and Natural Language Processing (NLP) components into production-ready systems. Nice-to-Have Skills: - Exposure to MLOps practices, including model deployment, monitoring, lifecycle management, and performance optimization in production environments. What You'll Get: - Opportunity to work on one of the most advanced AI systems. - A high-performing, fast-paced startup culture with a deep tech focus.,