Artificial Intelligence Engineer

Quadrix AI is a cutting-edge technology company focused on automation, intelligent systems, and AI-driven transformation. We empower businesses to streamline operations, boost efficiency, and scale intelligently through advanced software solutions. Our work spans a range of industries, delivering tailored AI systems built for real-world performance. With expertise in language models, voice intelligence, and reasoning engines, Quadrix AI is pioneering the future of cognitive automation.

We are seeking a highly skilled Artificial Intelligence Engineer to join our remote-first team. This full-time role offers the opportunity to work at the forefront of AI innovation, building smart systems that interact, reason, and learn from real-world data.

You will lead the development and deployment of AI models for language, voice, and decision-making systems. This includes building NLP pipelines, training neural networks, integrating large language models (LLMs), and implementing intelligent agents using frameworks like LangChain and graph-based reasoning engines.

• Design, develop, and deploy AI models for NLP, voice, and multi-modal systems
• Work with speech-to-text and text-to-speech models (e.g., Whisper, Coqui, Bark)
• Build agent architectures using LangChain, vector databases, and graph-based tools
• Implement pattern recognition, neural networks, and reinforcement learning systems
• Collaborate with product, backend, and UX teams to embed intelligence into real-world products
• Conduct research, rapid prototyping, and model fine-tuning for task-specific AI
• Optimize inference pipelines for real-time applications (e.g., logistics, decision support)
• Contribute to architecture decisions involving distributed systems and AI reasoning

• Strong foundation in Machine Learning, Pattern Recognition, and Neural Networks
• Proven experience with Natural Language Processing (NLP)
• Experience with voice AI systems: STT (e.g., Whisper, DeepSpeech) and TTS (e.g., Coqui, Bark)
• Hands-on experience with LangChain, LLM orchestration, and knowledge graphs
• Familiarity with vector databases (e.g., FAISS, Weaviate, Pinecone)
• Proficiency in Python and ML frameworks (e.g., PyTorch, Hugging Face, TensorFlow)
• Solid problem-solving, critical thinking, and collaboration skills
• Ability to work independently in a fast-paced, remote environment
• Master’s or PhD in AI, Computer Science, Machine Learning, or a related field
• Bonus: Experience in logistics, reasoning systems, or cognitive architectures

• Work on meaningful, cutting-edge AI systems
• Flexible remote culture and high ownership
• Small, elite team solving real-world automation problems
• Direct impact on company direction and product innovation