At a Glance
- Tasks: Build advanced AI products that solve real-world financial challenges.
- Company: Join Taktile, a fast-growing company redefining AI in finance.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: We value diverse backgrounds and encourage all to apply.
- Why this job: Make a tangible impact in the financial sector using cutting-edge AI technology.
- Qualifications: 3-6 years in data science or software engineering; strong Python and SQL skills.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- You bring 3-6 years of data science, software engineering, consulting, or product management experience that includes customer-facing work or product ownership.
- You have a strong technical or quantitative background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, Data Science, or Economics.
- You are eager to dive into the domain of our customers, including credit underwriting, financial risk assessment, and financial crime detection.
- You write clean, maintainable Python and SQL, and have a good understanding of REST APIs.
- You excel at breaking down complex problems and abstracting them into scalable, reusable solutions.
- You 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 scale.
- You are open to a hybrid work model and can work from our NYC office at least three days per week (Desirable).
- You have experience in building AI applications within financial services (Desirable).
- You have experience in applying and optimizing statistical and machine learning models to solve business problems (Desirable).
- You have experience with at least one of the major cloud platforms (AWS, Azure, GCP).
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.
What the job involves
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.
Senior Applied Artificial Intelligence Engineer in London employer: Deepstreamtech
At Taktile, we pride ourselves on being an innovative employer that champions a collaborative and inclusive work culture. Our NYC office offers a dynamic environment where you can thrive as a Senior Applied Artificial Intelligence Engineer, with opportunities for professional growth and the chance to work on cutting-edge AI applications in the financial sector. We value diverse perspectives and encourage all candidates to apply, ensuring that every team member contributes to our mission of transforming financial decision-making through technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applied Artificial Intelligence Engineer in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even casual coffee chats. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving AI applications in finance. This will give potential employers a taste of what you can do.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to AI and financial services. Be ready to discuss how you've tackled complex problems and how you can add value to their team.
✨Apply Through Our Website
We love seeing candidates who are genuinely interested in joining us! Apply directly through our website to show your enthusiasm and make sure your application gets the attention it deserves.
We think you need these skills to ace Senior Applied Artificial Intelligence Engineer in London
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 3-6 years of experience in data science, software engineering, or product management. We want to see how your background aligns with our needs, especially if you've worked on customer-facing projects or have product ownership experience.
Be Technical and Specific:When you mention your skills, be specific about your technical background. If you're proficient in Python, SQL, or working with REST APIs, let us know! We love seeing clean, maintainable code examples or projects that showcase your abilities.
Connect with Our Mission:We’re all about redefining AI in financial services, so show us your passion for applying AI to real-world problems. Share any relevant experiences you have in financial crime detection or credit risk assessment to demonstrate your understanding of our domain.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we can’t wait to meet you!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and REST APIs. Be ready to discuss how you've used these skills in past projects, especially in the context of AI applications within financial services. The more specific examples you can provide, the better!
✨Understand the Business Context
Dive deep into the financial sector, particularly credit underwriting and risk assessment. Familiarise yourself with the challenges these industries face and think about how your skills can help solve them. This will show that you're not just a tech whiz but also someone who understands the bigger picture.
✨Showcase Your Problem-Solving Skills
Prepare to discuss complex problems you've tackled in the past. Break down your thought process and how you arrived at scalable solutions. This is key for demonstrating your ability to abstract problems and create reusable applications.
✨Build Relationships, Even Virtually
Since this role involves collaboration with both technical and business stakeholders, think about how you've built relationships in previous roles. Be ready to share examples of how you’ve engaged with different teams and how you can bring that collaborative spirit to the table, even in a hybrid work model.
