About Stori

Stori is a fast-growing, venture-backed financial technology company, on a mission to democratize credit access for 400 million underbanked LatAm consumers. Stori currently operates in Mexico and has a global team with offices in Arlington Virginia, Mexico City, and Asia. We have quickly made our mark as one of the top digital banks in Mexico with more than two million applicants for our credit card product since launching.

Stori is one of the top-funded startups in the region with US$250 million raised to date. We are backed by top global venture capital funds, such as GGV Capital, GIC, Lightspeed Venture Partners, General Catalyst, Goodwater Capital, Mexico’s Tresalia Capital, Vision Plus Capital, BAI Capital and Source Code Capital; who have successfully invested in startups such as Affirm, Airbnb, Alibaba, Stripe, and TikTok.

Stori has a standout founder team among fintechs, leveraging 100+ years of accumulated experience in consumer finance, banking and technology across Mastercard, Intel, Capital One, Morgan Stanley, GE Capital, and HSBC in the U.S., Mexico and Asia. The team has launched and managed many multi-million-customer credit card products globally, providing a wide breadth of experience and knowledge to our team.

We welcome diversity of background, experience and thinking. Storians are passionate about our mission and take pride in the products we build. Our culture thrives off of a flat structure and an inclusive environment where all of our employees can be their authentic selves, with boundless opportunities for professional growth.

The Role

As an AI Engineer, you will help lay the foundations of how Stori uses Generative AI to bring financial services to millions of customers in Mexico and Latin America in a personalized and scalable way. Your work will play a crucial role not just in building Gen AI and LLM-based products such as conversational chatbots and voicebots; but also in the creation of a shared platform that will be leveraged by all other engineering squads at Stori as we infuse Generative AI into the core of many of our products.

Your experience building with LLMs will be critical in creating the next stage in the evolution of the banking industry in the region as we create the next generation of financial services.

Important: This is not an AI research role. You will be building production-grade AI products and shared services for real users and other developers.

What We Are Looking For

• Experience with Large Language Models (LLMs): You’ve previously built–and ideally launched– products that made use of LLMs. These could include chatbots, agents, RAG systems, classification services, analysis of unstructured data, generation of synthetic data, etc. Personal projects also count! Extra points if you’ve used open source models.
• Knowledge of Gen AI-related tools and libraries: You know your way around libraries such as LangChain and LlamaIndex and you’re familiar with tools such as Langsmith or Langfuse.Mastery of Python: You have 3-5 years of experience as a Sr Software Engineer working with Python. Comfortable doing traditional backend work: Building production-level AI features also requires traditional backend work, we expect you to be comfortable with this to make sure everything is well integrated and running smoothly.
• Technical Expertise: Strong knowledge in scalable system design, microservices (Go preferred), CI/CD pipelines, containerization technologies (e.g., Docker, Kubernetes), and cloud services.
• Problem-Solving Skills: Excellent analytical and problem-solving abilities, with a focus on practical and efficient solutions.
• Adaptability: You can work–and hopefully thrive–in a constantly changing industry where new AI developments happen weekly, model documentation is not always up to date, and best practices are constantly evolving. You’re not scared of building a prototype and throwing your code away to build a better version based on user and performance data.
• Communication Skills: Strong communication and interpersonal skills, capable of working collaboratively with cross-functional teams and effectively communicating technical concepts to non-technical team members.
• Educational Background: A Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Language Proficiency: Fluency in Spanish and English, both written and spoken.
  
  

Main Responsibilities

• Prototyping & Building LLM-based Applications: Develop LLM-based applications and shared services to be used both by Stori’s millions of users.
• AI Platform Development: Design and implement a robust developer platform that allows other Product & Engineering teams to easily use the power of AI models within other products, expanding the use of Generative AI across the whole organization.
• Release, Measure, Improve: Ensure our AI-based products are well-instrumented with the required data and observability tools. Use data to consistently improve said products.
• Testing and Deployment: Streamline the testing processes and integrate continuous integration/continuous deployment (CI/CD) pipelines to facilitate smoother and faster deployment of code into production.
• Organization-wide Collaboration: Work closely with multiple teams across the company to help infuse their products with AI.
• Documentation and Training: Create comprehensive documentation and provide training to the development team, ensuring best practices are understood and adopted.
  
  

What We Offer

• Make a positive impact on the lives of our customers via financial inclusion
• Professional development opportunities
• International exposure & work experience
• Company swag
• Legally required benefits