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AI Engineer II

Building the Future of Crypto 

Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.

What makes us different?

Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.

Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here.

As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken ProKraken NFT, and Kraken Futures.

Become a Krakenite and build the future of crypto!

Proof of work

The team

Kraken is looking for an enthusiastic and skilled AI/ML Engineer II to join our AI Platform team. 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.

We’re seeking a strong communicator and a collaborative team player who can decompose complex problems into manageable tasks. You’ll work alongside engineers across the team and organization, learning and exploring innovative ways to address issues and improve workflows.

The opportunity

  • 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.

Skills you should HODL

  • 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.

Nice to haves

  • Familiarity with agent frameworks like Autogen or LangChain is a bonus.

#LI-Remote #EU #US #BR

This job is accepting ongoing applications and there is no application deadline.

Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.

We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto!

As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. 

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Average salary estimate

$125000 / YEARLY (est.)
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$100000K
$150000K

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What You Should Know About AI Engineer II, Kraken

At Kraken, we're on a mission to build the future of crypto, and we're looking for an AI Engineer II to join our talented team. As a key player in our AI Platform team, you'll help us shape innovative AI and machine learning solutions that tackle the hottest challenges in the crypto industry. Imagine the thrill of developing AI agents for task automation and orchestration while collaborating with our skilled engineers across the globe. Your role will involve crafting intelligent systems that blend human skills with AI capabilities, all aimed at enhancing workflows and driving efficiency. You'll dive into creating robust AI/ML pipelines for model training and performance monitoring, ensuring that our systems operate at peak efficiency. Plus, you'll stay on top of the latest AI advancements, fostering a culture of innovation within the team. With your strong Python programming skills and a solid foundation in machine learning, you'll contribute to building scalable solutions that amplify our mission. Here at Kraken, diversity is crucial, and we celebrate talent over everything else, so if you're excited about crypto and eager to make an impact, we want to hear from you! Join us, and help accelerate the global adoption of crypto technologies!

Frequently Asked Questions (FAQs) for AI Engineer II Role at Kraken
What are the responsibilities of an AI Engineer II at Kraken?

As an AI Engineer II at Kraken, your primary focus will be on developing AI agents for task automation, designing intelligent task planning systems, and enhancing collaboration between humans and AI. You will also be responsible for monitoring agent performance and developing AI/ML pipelines for model training and evaluation, ensuring that our systems run efficiently across the organization.

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What qualifications do I need to apply for the AI Engineer II position at Kraken?

To qualify for the AI Engineer II role at Kraken, it’s essential to have experience in building and deploying machine learning systems in production, particularly with LLMs and RAG systems. Proficiency in Python, familiarity with workflow orchestration tools, and experience with ML lifecycle tools like MLFlow or Kubeflow are also highly valued.

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How does collaboration work for AI Engineer II roles at Kraken?

Collaboration is key for an AI Engineer II at Kraken. You'll work closely with product teams and site reliability engineers to guarantee that our AI platform meets performance standards. Effective communication and teamwork will ensure that we can tackle complex problems together and innovate new solutions in the crypto space.

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What skills will I develop as an AI Engineer II at Kraken?

As an AI Engineer II at Kraken, you will sharpen your programming skills and deep dive into advanced machine learning concepts. You'll gain hands-on experience with deploying AI systems, developing CI/CD pipelines, and collaborating within a cross-functional team, all while enhancing your problem-solving capabilities in a fast-paced environment.

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Is Kraken open to remote applicants for the AI Engineer II position?

Yes! Kraken is a fully remote company which means that the AI Engineer II role can be pursued by applicants from anywhere. We embrace diversity and look for skilled individuals who are passionate about crypto, regardless of their location.

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Common Interview Questions for AI Engineer II
Can you describe your experience with AI/ML systems deployment?

To effectively answer this question, share specific projects where you’ve built, fine-tuned, and deployed AI/ML systems in a production environment. Discuss the tools, frameworks, and methodologies you used, and highlight any challenges faced during deployment and how you overcame them.

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How do you handle decision-making in AI task automation?

This question seeks to understand your thought process. Explain how you analyze tasks that can be automated by AI, consider risks, and evaluate potential benefits. It’s beneficial to provide examples from past projects where you had to make similar decisions.

Join Rise to see the full answer
What is your approach to monitoring AI models?

Discuss your familiarity with monitoring tools and your strategies for performance tracking. You can mention key performance indicators you find important and any experience with building monitoring systems that help maintain efficiency.

Join Rise to see the full answer
Can you explain a complex problem you solved in your previous AI/ML role?

Choose a significant problem that illustrates your problem-solving skills. Detail the situation, what methodologies you used to analyze it, the solution you implemented, and the impact it had on the team or project.

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What steps do you take to ensure collaboration between AI systems and human operators?

Talk about your experience in designing systems that facilitate human-AI collaboration. You can discuss strategies that promote effective interaction, such as user-friendly interfaces and feedback mechanisms to enhance workflows.

Join Rise to see the full answer
How do you stay updated with the latest AI and machine learning developments?

This is a great opportunity to showcase your passion for the field. Mention specific resources, conferences, or online communities you participate in, and how you apply what you've learned to your work.

Join Rise to see the full answer
Describe your experience with building CI/CD pipelines for ML services.

Share any relevant experience you have with CI/CD pipelines, mentioning the tools you utilized and the challenges you faced. Make sure to emphasize how these pipelines improved the deployment and management of ML services.

Join Rise to see the full answer
What role do workflow orchestration tools play in your projects?

Explain your understanding of workflow orchestration tools like Prefect and Airflow, and describe how you’ve used them to streamline processes in your projects. Provide examples where possible to depict practical applications.

Join Rise to see the full answer
How do you prioritize tasks in complex AI engineering projects?

Discuss your approach to task prioritization, including factors you consider such as urgency, team dependencies, and project goals. Illustrate this with a real-world scenario you've navigated.

Join Rise to see the full answer
What is one project you're particularly proud of, and why?

Choose a project that showcases your skills relevant to the AI Engineer II role. Provide context, your role in the project, and the results achieved, emphasizing both your technical contributions and any collaboration aspects.

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Full-time, remote
DATE POSTED
December 7, 2024

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