Senior Applied Artificial Intelligence Engineer

Taktile; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Taktile seeks an Applied AI Engineer to build advanced agentic products for financial crime and credit risk, acting as product owner for AI agents and delivering reusable applications at scale.

You will write clean Python and SQL, work with REST APIs, and collaborate with Solution and Forward Deployed Engineers to understand customer needs and deliver value. A hybrid model with NYC presence is offered, and diverse candidates are encouraged to apply.

Qualifications

• Strong experience applying AI to real-world financial decisioning.
• Experience turning AI work into reusable products or agents.
• Ability to write clean, maintainable Python and SQL and work with REST APIs.
• Familiarity with cloud platforms (AWS/Azure/GCP) and data-driven decisioning.

Responsibilities

• Build reusable AI products by acting as product owner for AI agents.
• Partner with engineers to understand customer needs and reduce time-to-activation.
• Define and iterate on agent-focused product vision with customer outcomes.
• Collaborate with core product to prioritize platform features for agent development.

Skills

Python

SQL

REST APIs

Cloud platforms

Machine Learning

Data Science

Product ownership

Financial services domain

Analytical thinking

Communication

Job description

• 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, 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
• 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
• Build Reusable AI Products: 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
• Drive Scalable Value: 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
• Product Vision and Iteration: 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
• Collaborate with Core Product: 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

You are open to a hybrid work model and can work from our NYC office at least three days per weekYou bring 3-6 years of data science, software engineering, consulting, or product management experience that includes customer-facing work or product ownershipYou build strong relationships with both technical and business stakeholders at all levels, driven by a product-centric mindset to understand their needs and solve their challenges at scaleYou write clean, maintainable Python and SQL, and have a good understanding of REST APIsYou are eager to dive into the domain of our customers, including credit underwriting, financial risk assessment, and financial crime detectionYou excel at breaking down complex problems and abstracting them into scalable, reusable solutionsYou have a strong technical or quantitative background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, Data Science, or EconomicsWe’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 applyYou have experience with at least one of the major cloud platforms (AWS, Azure, GCP)You have experience in applying and optimizing statistical and machine learning models to solve business problemsYou have experience in building AI applications within financial services