Sr. Applied AI Engineer

Taktile is looking for an Sr. Applied AI Engineer to build advanced agentic products that solve high-value problems in financial crime or credit risk. You will act as a product owner for the AI agents you create, turning them into reusable applications that solve concrete customer problems at scale.

What you'll do

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

What you'll need

• 3-6 years of data science, software engineering, consulting, or product management experience that includes customer-facing work or product ownership.
• Strong technical or quantitative background, preferably in Computer Science, Mathematics, Software Engineering, Physics, Data Science, or Economics.
• Eager to dive into the domain of financial customers, including credit underwriting, financial risk assessment, and financial crime detection.
• Write clean, maintainable Python and SQL, and have a good understanding of REST APIs.
• Excel at breaking down complex problems and abstracting them into scalable, reusable solutions.
• Build strong relationships with both technical and business stakeholders at all levels, driven by a product-centric mindset.
• Open to a hybrid work model and can work from our London or Berlin office at least three days per week.

Nice to have

• Experience building AI 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 (AWS, Azure, GCP).

What they offer

• Top-of-market equity and cash compensation package.
• Self-development budget for conferences, books, and classes.
• Equipment of your choice including meaningful home office set-up.
• Flat hierarchy with direct access to founding team members.
• Mentorship from experienced advisors and investors.