The opportunity

📍Develop AI agents for autonomous task execution and orchestration. 📍Architect systems for intelligent task planning and human-AI collaboration. 📍Design workflows for efficient task routing across AI models and human operators. 📍Build monitoring systems to evaluate agent performance and workflow efficiency. 📍Lead technical initiatives from problem identification to solution implementation. 📍Develop AI/ML pipelines for training, evaluation, and monitoring in production. 📍Partner with SREs and cross-functional teams to optimize AI platform resources. 📍Mentor junior engineers and stay updated on AI/ML trends, driving innovation in the crypto industry.

Skills you should HODL

📍Extensive experience building, fine-tuning, and deploying production-ready ML systems, including LLMs and RAG systems. 📍Strong applied ML fundamentals with expertise in AI algorithms. 📍Proficient in workflow orchestration tools like Prefect, Airflow, or Argo Workflows. 📍Deep experience with post-deployment tasks such as model rollout strategies, performance monitoring, and re-tuning. 📍Expertise in building and deploying web services with container orchestration tools like Kubernetes (K8s). 📍Skilled in ML lifecycle tools like MLFlow, Kubeflow, and inference servers such as Triton, TGI, or vLLM. 📍Proven ability to start projects from scratch and implement CI/CD pipelines using tools like GitLab and ArgoCD. 📍Advanced software engineering skills with a focus on scalable, maintainable, and robust systems.