Job Description
Summary
The team
Kraken is looking for an experienced Senior AI Engineer to join our AI Platform team. In this role you will be building infrastructure to support building cutting edge GenAI solutions to solve the most complex and exciting problems in the quickly growing and evolving crypto industry.
We are looking for an extremely strong communicator and team-player, who is able to break down large complex problems into smaller more manageable problems-to-solve. You will take initiative to work with engineers across the team and org, exploring different ways to resolve issues.
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.
- Strong Python programming expertise, emphasizing clean, efficient code.
- Demonstrated ability to solve complex challenges using effective abstractions and best practices.
- Strong communication skills to articulate complex ideas to both technical and non-technical audiences.
Nice to haves
- Familiarity with agent frameworks such as Autogen and LangChain is highly desirable.
Skills
- Communications Skills
- Development
- Machine Learning
- Problem Solving
- Python
- Software Engineering