AI Engineer, Kraken

• Kraken is looking for an enthusiastic and skilled AI/ML Engineer II to join our AI Platform team
• We’re seeking a strong communicator and a collaborative team player who can decompose complex problems into manageable tasks
• Experience building, fine-tuning, and deploying ML systems in production, including LLMs and RAG systems
• Strong applied ML fundamentals and proficiency in AI algorithms
• Hands-on experience with post-deployment tasks such as monitoring, rollouts, and re-tuning
• Proficiency with workflow orchestration tools like Prefect, Airflow, or Argo Workflows
• Familiarity with deploying web services using container orchestration tools such as Kubernetes (K8s)
• Experience with ML lifecycle tools (e.g., MLFlow, Kubeflow) and inference servers like Triton, TGI, or vLLM
• Proven ability to build reliable CI/CD pipelines for services and model deployments
• Strong Python programming skills with expertise in software engineering principles to build scalable systems
• Strong problem-solving mindset and effective communication skills for cross-team collaboration

Desirable

• In this role, you will contribute to the development of infrastructure and tools that support cutting-edge GenAI solutions, tackling some of the most exciting and challenging problems in the rapidly evolving crypto industry
• You’ll work alongside engineers across the team and organization, learning and exploring innovative ways to address issues and improve workflows
• Contribute to developing AI agents for task automation and orchestration
• Assist in designing systems for intelligent task planning and human-AI collaboration
• Support the implementation of workflows for efficient task routing across AI models and human operators
• Build and maintain monitoring systems to track agent performance and workflow efficiency
• Develop AI/ML pipelines for model training, evaluation, and monitoring in production
• Collaborate with SREs and cross-functional teams to ensure optimal AI platform performance
• Work with senior engineers to identify and address AI/ML opportunities for improving scalability and efficiency in operations
• Stay informed on AI/ML advancements, contributing to team knowledge and fostering innovation in the crypto industry