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Taktile

AI-driven risk workflow platform for finance

Senior Applied AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Three to six years of data science, software engineering, consulting, or product management experience that includes customer-facing work or product ownership.
  • A strong technical or quantitative background, preferably in Computer Science, Mathematics, Software Engineering, Physics, Data Science, or Economics.
  • Willingness to learn the customer domains of credit underwriting, financial risk assessment, and financial crime detection.
  • Proficiency in writing clean, maintainable Python and SQL and a good understanding of Representational State Transfer application programming interfaces.
  • Ability to break down complex problems and abstract them into scalable, reusable solutions.
  • Ability to build relationships with technical and business stakeholders at all levels and use a product-centric mindset to understand their needs and solve challenges at scale.
  • Ability to work in a hybrid model from the London or Berlin office at least three days per week.

Responsibilities

  • Act as the product owner for the application area and design, develop, and deploy robust, repeatable Generative Artificial Intelligence agents as configurable customer solutions.
  • Partner with Solution and Forward Deployed Engineers during critical sales and implementation projects to understand customer needs deeply.
  • Develop standard templates and reusable components that reduce time to activation and solve core customer challenges.
  • Synthesize customer feedback into a clear vision for the agents and iterate on solutions to solve concrete use cases at scale.
  • Work closely with the core product team to prioritize platform features that unblock application development.
  • Act as an expert user consultant during the development of new platform features.

Desired Qualifications

  • Experience building artificial intelligence applications within financial services.
  • Experience applying and optimizing statistical and machine learning models to solve business problems.
  • Experience with at least one major cloud platform, such as Amazon Web Services, Azure, or Google Cloud Platform.

About the Company

Taktile

AI-driven risk workflow platform for finance

Taktile builds an agentic decision platform for banks and insurers to design, monitor, and automate high-stakes risk workflows such as credit underwriting, claims, fraud, KYC/AML, and onboarding. Its platform uses AI agents that operate under business-owner control to carry out risk tasks, enabling automated decision-making while keeping governance and oversight in the hands of financial institutions. The product is geared toward regulated finance and is designed to integrate into existing workflows, providing monitoring, automation, and control over AI-driven decisions. Taktile differentiates itself by focusing on regulated financial use cases and offering agents that are under business-owner control, backed by a track record with notable customers and significant funding to scale in the US, Europe, and LATAM. The company's goal is to deepen AI solutions for regulated finance and expand its footprint across major markets.

Company size
201-500
Company stage
Series C
Total funding
$188.8M
Headquarters
Berlin, Germany
Founded
2020

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