Description
About Eloelo Eloelo is building the future of live interactive entertainment, where real-time voice, video, and AI come together to create deeply engaging social experiences. Beyond live streaming, Eloelo is evolving into a platform for micro drama, micro learning, and narrative-driven content, enabling creators to tell short, high-impact stories and deliver bite-sized learning in interactive formats. Operating at massive scale, we are investing heavily in multimodal AI to redefine how users interact, express, learn, and connect in real time. Role Overview We are looking for an AI Engineer with strong hands-on experience in LLM fine-tuning, speech recognition, and voice-to-voice systems. This is a research-driven yet production-focused role, where you’ll experiment with cutting-edge models and take them all the way to scalable, real-world deployment. You will help shape Eloelo’s next-generation AI stack, working on systems that power real-time voice interactions at a global scale. What You Will Do Research, fine-tune, and deploy Large Language Models (LLMs) for conversational and interactive use cases Build and improve speech-to-text (ASR) and text-to-speech (TTS) systems Develop voice-to-voice pipelines with low latency and high reliability Experiment with multimodal AI systems combining voice, text, and context Design evaluation frameworks for model quality, latency, and user experience Optimise models for real-time inference at scale Work closely with backend, infra, and product teams to ship AI features into production Stay up-to-date with the latest research and translate it into practical applications Required Skills & Experience 4–6 years of hands-on experience in AI / ML engineering or applied research Strong experience with LLMs (fine-tuning, prompt engineering, RAG, inference optimisation) Hands-on experience with speech technologies: Automatic Speech Recognition (ASR) Text-to-Speech (TTS) Voice-to-Voice pipelines Strong programming skills in Python Experience with deep learning frameworks such as PyTorch / TensorFlow Solid understanding of neural networks, transformers, and sequence models Experience deploying models into production systems Familiarity with cloud infrastructure (AWS / GCP) Strong problem-solving mindset and experimental approach Good to Have Experience with real-time / low-latency systems Exposure to multilingual speech models Experience working with streaming audio pipelines Familiarity with MLOps (model versioning, monitoring, CI/CD) Contributions to research papers, open-source projects, or blogs Experience in consumer-scale or real-time platforms Why Join Eloelo Work on cutting-edge voice and multimodal AI problems High ownership in defining AI architecture and research direction Opportunity to ship research into real user-facing products Collaborate with a highly driven, curious, and fast-moving team Build AI systems that operate at a global scale