Applied AI Engineer

Applied AI Engineer About The Role Taktile is redefining how financial institutions use AI to make critical decisions, and we're growing fast. As an Applied AI Engineer, you'll be at the heart of that transformation, helping to build advanced agentic products that solve high-value problems. You will take ownership of the AI agents you create, turning them into reusable applications that solve concrete customer problems at scale in the credit underwriting and financial risk space. If you're passionate about applying AI to real-world financial decisioning, stay current on advances in generative AI, and bring a solid foundation in Python, SQL, and working with APIs, you'll thrive here. What You'll Do as an Applied AI Engineer - Build reusable AI products: Design, develop, and deploy robust Generative AI agents that serve as configurable solutions to our customers. - Drive scalable value: Collaborate with Solution and Forward Deployed Engineers during sales and implementation projects to understand customer needs. Contribute to standard templates and reusable components that reduce time-to-activation. - Product vision and iteration: Synthesize customer feedback to improve your agents. Iterate on your solutions to solve use cases at scale. - Collaborate with core product teams: 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. About You - You bring 1-4 years of engineering, data science, or product management experience - You are eager to dive into the domain of our customers, including credit underwriting and financial risk assessment. - You are eager to develop a strong product sense by learning how to break down complex problems and turn customer needs into scalable, reusable solutions. - You have a strong technical or quantitative background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, Data Science, or Economics. - You build strong relationships with stakeholders, driven by a curiosity to understand their needs and solve their challenges. - You write clean, maintainable Python and SQL, and have a good understanding of REST APIs. - You are open to a hybrid work model and can work from your local office at least three days per week. Ideal Qualifications (but not required) - You have relevant internship or project experience in consulting, fintech, or investing; B2B SaaS experience is a plus. - You have experience applying statistical and machine learning models to solve real-world problems. What We Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Make an impact and meaningfully shape an early-stage company. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - 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 you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recogni ... (truncated, view full listing at source)