Sr. Applied AI Engineer

Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for an Applied AI Engineer. This role will be at the heart of that transformation, building advanced agentic products that solve high-value problems. 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 in the financial crime or credit risk space.

Responsibilities

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; act as an expert user consultant during the development of new features

Requirements

Passionate about applying AI to real-world financial decisioning; stay current on advances in generative AI; solid foundation in Python, SQL, and working with APIs; 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 fields such as Computer Science, Mathematics, Software Engineering, Physics, Data Science, or Economics; eager to dive into the domain of our 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; open to a hybrid work model and can work from NYC office at least three days per week

Nice to have

Experience in building AI applications within financial services; experience in applying and optimizing statistical and machine learning models to solve business problems; experience with at least one of the major cloud platforms (AWS, Azure, GCP)

Benefits

Work with colleagues that lift you up, challenge you, celebrate you and help you grow; make an impact and meaningfully shape an early-stage company; experience a truly flat hierarchy and communicate directly with founding team members; learn from experienced mentors and achieve tremendous personal and professional growth; get to know and leverage our network of leading tech investors and advisors around the globe; receive a top-of-market equity and cash compensation package; get access to a self-development budget to attend conferences, buy books or take classes; use the equipment of your choice including a meaningful home office set-up