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Senior AI Engineer - Growth

KrakenUnited KingdomEngineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
28 Sept 2026
Status
Open · checked 7d ago

About this role

This role is a Senior AI Engineer position focusing on growth at Kraken, operating remotely within the United Kingdom. It suits an experienced technical builder who wants to create an AI-native growth engine rather than just supporting existing marketing workflows.

Role Overview

Kraken is seeking a Senior AI Engineer to join the Growth Foundations Group within the engineering department. Operating as the second builder on this team, the professional will work alongside the lead architect to execute, build, and ship agent orchestrations, automated workflows, and system integrations. The goal is to build an AI-native growth engine where agents make distribution decisions and generate creative content at scale across multiple channels like paid growth, lifecycle, organic search, CRO, and referrals.

Key Responsibilities

Design and implement agent orchestration workflows across various growth use cases, automating decisions and executions for paid media, lifecycle messaging, organic content, and conversion optimization.
Build robust integrations between the AI reasoning layer, growth execution platforms, data infrastructure, experimentation systems, and analytics tools.
Develop shared agent infrastructure components, including reusable workflow patterns, prompt libraries, and integration clients.
Establish monitoring and audit logging to ensure every agent action is traceable, versioned, and queryable.
Create and manage content generation pipelines that automate the brief-to-variant-to-distribution loop.
Maintain high integration reliability and document every workflow clearly so domain specialists can tune them independently.

Requirements

Three or more years of professional experience building automation workflows, integrations, or agentic systems utilizing AI orchestration platforms or automation tools.
Strong expertise in API integrations, covering REST, webhooks, authentication patterns, and error handling at scale.
Practical experience working with LLM APIs, including prompt engineering, structured outputs, tool use, and agent chaining.
Ability to work independently from a technical spec without requiring constant supervision.
Familiarity with growth or marketing context to understand the strategic direction of the systems being built.
A balanced approach that values rapid shipping speed alongside high code quality.

Nice to Have

Background working with paid media platforms, marketing automation, CRM, or lifecycle messaging systems.
Familiarity with data warehouse query patterns and event tracking infrastructure.
Previous professional experience in a high-growth fintech, consumer tech, or multi-product technology environment.
Exposure to designing multi-agent architectures or complex agent-to-agent workflows.

Skills and Tools

Large Language Models (LLM)
AI orchestration platforms
API integrations (REST, webhooks)
Prompt engineering and agent chaining
Automation tools and workflow systems

About the Company

Payward is the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services, and CF Benchmarks. For the past fifteen years, the organization has developed financial infrastructure platforms designed to advance an open, global financial system. Kraken itself was founded in 2011 and operates as a long-standing crypto platform trusted by over ten million users globally, offering spot trading, margin, futures, staking, and OTC services.

How to Apply

Interested candidates should review the company culture page and submit their application directly on the official Kraken careers page. Applications are reviewed on an ongoing basis unless a specific deadline is provided.

Skills and tech stack

LLMPrompt Engineering

Questions candidates ask

Is this a remote position?

Yes, this role is listed as remote within the United Kingdom.

What department does this role belong to?

The position sits within the Engineering department, specifically inside the centralized Growth Foundations Group.

What technical experience is required?

Candidates need 3+ years of experience building automation workflows, integrations, or agentic systems using AI orchestration platforms or workflow automation tools, alongside strong API integration and LLM API skills.

What will I be building in this role?

You will build agent orchestration workflows, system integrations, shared agent infrastructure components, monitoring and audit logging, and content generation pipelines for growth.

How do I apply for this position?

You can apply directly through the official Kraken careers page.

Ready to apply?

The application is on the official Kraken careers page.

Apply on company site