Company Description We are a US-based health-tech company building the future of multilingual, ambient voice intelligence in partnership with leading international companies such as Microsoft, OpenAI, NVIDIA, and NHS London. Our mission is to create impactful technology that redefines human connection across the world by removing critical language and communication barriers across industries. Job Overview We are seeking a technically adept and highly motivated AI Engineer to join our fast-paced, innovation-driven team. This role offers a unique opportunity to contribute to the development of cutting-edge AI systems across multiple modalities including language, audio, and vision. The ideal candidate will bring deep expertise in machine learning and artificial intelligence, combined with a pragmatic, hands-on approach to research and development. You will work alongside top talent to design, implement, and deploy advanced models and pipelines that power real-world intelligent applications. Key Responsibilities Design, build, and optimize machine learning pipelines across NLP, ASR, TTS, computer vision, and audio classification domains. Develop and fine-tune transformer-based architectures for tasks in language, speech, and vision. Collaborate on the implementation and evaluation of agentic systems leveraging large language models (LLMs). Conduct rigorous experiments using statistical methods and ML evaluation metrics to guide iterative improvements. Integrate open-source and proprietary AI models using frameworks like Hugging Face, PyTorch, TensorFlow, and OpenAI tools. Lead exploratory R&D efforts to prototype innovative features and evaluate state-of-the-art models. Support deployment and monitoring of models in production environments. Collaborate cross-functionally with engineers, product managers, and researchers to align development efforts with strategic goals. Required Qualifications Strong foundation in machine learning, deep learning, and statistical modeling. Proven experience working with: o Transformer architectures (BERT, GPT, Whisper, etc.) o Natural Language Processing (e.g., tokenization, embeddings, NER, QA) o Audio classification techniques and toolkits o Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) o Computer Vision (e.g., CNNs, image segmentation, multimodal models) o Large Language Models (LLMs) and prompt-based systems Proficient in Python and ML frameworks (e.g.,PyTorch, TensorFlow, Hugging Face, OpenAI APIs) Familiarity with model evaluation metrics, optimization techniques, and dataset curation Strong communication skills and the ability to work effectively in a collaborative team setting Preferred Qualifications Experience with agentic frameworks and multi-agent system design Experience with different transformers architectures Prior experience in a startup or fast-paced research environment