We are seeking a talented and driven Senior AI Engineer to join our growing team focused on building the next generation of customer-facing products powered by Large Language Models (LLMs). This is a unique opportunity to contribute to high-impact initiatives that directly enhance the customer experience, from conversational AI and voice agents to intelligent automation. In this role, you will be instrumental in developing, deploying, and optimizing LLM-driven solutions that will revolutionize how our customers interact with financial services. Looking ahead, this team will also be pivotal in building a robust GenAI platform to empower all Stori product teams to integrate generative AI capabilities into their offerings.

• LLM Product Development. At least 1-2 years of professional experience building and deploying conversational AI chat and/or voice agents. Familiarity with prompt engineering techniques and strategies for optimizing LLM outputs. Understanding of agentic frameworks and architectures, vector databases and retrieval-augmented generation (RAG) techniques, MCP Servers, and writing evals.

• AWS Cloud Engineering. 5 years of experience developing and deploying scalable solutions on AWS cloud services using a wide range of services (e.g., EC2, S3, RDS, Lambda, VPC, IAM) managing infrastructure-as-code with CDK or Cloudformation.

• Design, develop, and implement robust, scalable, and secure cloud infrastructure solutions

• Knowledge of Gen AI-related tools and libraries: You know your way around libraries such as LangChain, LlamaIndex, and Pydantic. Bonus points if you’re familiar with tools such as ElevenLabs and n8n.

• Python mastery. Proficiency in Python and relevant AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers). Experience with Golang is desired.

• Problem-Solving Skills: Excellent analytical and problem-solving abilities, with a focus on practical and efficient solutions.

• Collaboration & Communication: 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: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Strong knowledge of mathematics and algorithm development.

• Language Proficiency: Fluency in Spanish and English, both written and spoken

• Design and Develop LLM-Powered Products: Architect, build, and deploy conversational chat and voice agents and other automated systems that leverage state-of-the-art LLMs to deliver seamless and intelligent customer interactions.

• Prompt Engineering & Model Optimization: Craft effective prompts, fine-tune LLMs, and implement strategies to optimize model performance, accuracy, and efficiency for specific FinTech use cases.

• Integrate AI with Existing Systems: Seamlessly integrate LLM-based solutions with Stori's existing infrastructure, APIs and data sources.

• Evaluate and Monitor Performance: Establish metrics, evals, and implement monitoring tools and continuously evaluate the performance of deployed AI systems, iterating for improvement.

• Research & Innovation: Stay up to date on the latest advancements in LLMs, generative AI and conversational AI, identifying opportunities to apply new techniques and technologies to Stori's products.

• Platform Development: Contribute to the design and development of a GenAI platform that will enable other Stori product teams to easily leverage generative AI capabilities.

• Collaboration: Work closely with product managers and designers, data scientists and other engineering teams to translate business requirements into technical specifications and deliver impactful solutions.

• Ethical AI & Responsible Innovation: Ensure the development and deployment of AI systems that adhere to ethical guidelines, privacy regulations and responsible AI principles.