AI/ML Engineer at Hexo We’re building ‘Emily’ - an Agentic Machine Learing Engineer. It’s an AI that builds AI. The first step on the path to build Artificial SuperIntelligence (ASI) is to teach an agent how to train & improve ML models, build AI pipelines, AI agents etc. If AI can learn how a good ML researcher thinks and works, it will learn to improve itself, till infinity. We are hiring only A+ talents on our team. If you are one and want to work with other A+ talents, this is the place to work. Job Description Summary Join the Hexo AI team to build autonomous systems that can train, fine-tune, and orchestrate other pre-trained models. Work alongside senior engineers and researchers to develop intelligent scaffolds, pipelines, and tools that empower agentic AI/ML development. Ideal for builders who want to go beyond standard AI/ML applications and work on next-gen AI infrastructure that learns to improve itself. Bonus: Experience with Kaggle competitions, building coding agents, or training reinforcement learning agents. Responsibilities Lead the architecture, development, and deployment of backend and AI systems powering Hexo’s agentic AI/ML development platform. Contribute to the design, implementation and optimisation of modular AI/ML pipelines for data processing, model training, evaluation, LLM fine-tuning, embeddings, personalization, and conversational agents. Build and maintain reusable components and APIs that power Hexo’s autonomous ML agents. Integrate and experiment with the latest AI frameworks and libraries Support deployment and monitoring of models across distributed and cloud environments. Build and scale backend infrastructure (APIs, microservices, data systems, and real-time services) to support enterprise-grade AI workloads. Work closely with senior engineers to implement automation, testing, and version control across the ML lifecycle. Continuously research, experiment, and integrate advancements in LLMs, GenAI, agentic workflows, and reinforcement learning. Collaborate with researchers to translate novel model ideas into efficient, production-ready code. Mentor and grow a world-class AI engineering team, review code, enforce best practices, and foster a culture of learning and ownership. Participate in internal reviews, documentation, and continuous learning sessions on advanced ML systems and agentic AI. Requirements Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. 1-3 years of experience in AI/ML engineering, applied ML, or AI development Proven experience building 2–3 production-grade RAG or Agentic AI applications. Solid understanding of ML fundamentals - data preprocessing, model training, and evaluation workflows. Strong coding skills in Python and experience in modern backend frameworks (FastAPI, Django, Flask, etc.). Familiarity with pipeline orchestration or experiment tracking tools (e.g., MLflow, Airflow, or Prefect, Weights & Biases etc). Strong knowledge of databases (SQL & NoSQL), cloud infrastructure (AWS/GCP/Azure), and MLOps pipelines. Deep hands-on experience with machine learning/NLP/LLM frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, etc.). Experience deploying scalable distributed systems and optimizing performance. Eagerness to learn and work on cutting-edge topics like AI agents, self-training systems, and automated model builders. Strong problem-solving skills, ownership mindset, and the ability to lead complex initiatives end-to-end. Bonus: Prior experience in team leadership, AI product development, or startup environments. Why Join Us? Work on the bleeding edge of AI. Fast-track your entrepreneurial journey. Unmatched ownership, exposure, and impact. Collaborate with the founder and core team. Competitive compensation and stock options.