Full Stack AI Engineer

In this role, the successful candidate will work closely with product, research, and engineering leadership to develop next-generation, AI-powered financial applications. This is a highly collaborative position that requires strong ownership, technical depth, and the ability to move quickly from concept to production., Full-Stack Product Development

• Architecture & Maintenance: Architect, develop, and maintain end-to-end applications powering AI-driven financial products.
• Backend & APIs: Build scalable backend services and APIs that support intelligent workflows and automated decision-making.
• UI Development: Create intuitive, high-performance user interfaces that surface complex insights and enable interactive experiences.
• Real-Time Systems: Design systems that support real-time communication between users, data sources, and AI components.

AI & Data Integration

• Cross-Functional Collaboration: Partner with research and machine learning teams to integrate AI capabilities into production environments.
• Data Pipelines: Implement and maintain pipelines that ingest, process, and manage structured and unstructured financial data.
• Operationalization: Support the deployment and operationalization of AI-powered features and workflows.

Engineering Excellence

• Standards & Reliability: Establish testing, observability, monitoring, and reliability standards across applications and services.
• Optimization: Optimize system performance, scalability, and maintainability.
• Technology Evaluation: Evaluate and adopt emerging technologies across AI, software engineering, and financial infrastructure.

Continuous Learning

• Industry Trends: Stay informed on developments in large language models, agent frameworks, financial technologies, and modern web architectures.
• Best Practices: Contribute to technical discussions and help shape engineering best practices across the organization.

Do you have experience in TypeScript?, * Experience: 5+ years of professional experience building full-stack applications.

• Backend Expertise: Strong programming experience with Python, including modern API frameworks such as FastAPI. Advanced proficiency in JavaScript and TypeScript, with extensive experience developing applications using Node.js.
• Frontend Expertise: Advanced proficiency in React for building user interfaces.
• System Design: Demonstrated success building scalable web platforms, APIs, and backend services, alongside a strong understanding of both relational and non-relational database technologies.
• AI & Agent Architecture: Deep knowledge of prompt design, tool-calling architectures, Model Context Protocol (MCP), and agent orchestration patterns. Experience deploying and operating AI agents or autonomous workflow systems in production environments.
• Information Retrieval: Experience building embedding pipelines, semantic retrieval systems, and advanced search capabilities. Familiarity with vector search technologies, retrieval-augmented generation (RAG), and asynchronous application patterns.
• AI Frameworks: Hands-on experience developing solutions using large language models and AI orchestration frameworks (e.g., LangChain or comparable technologies).
• Domain Knowledge: Experience working with financial datasets, market data, or financial service APIs.
• Professional Attributes: Ability to operate comfortably in fast-moving environments with significant autonomy and ownership.

Preferred Qualifications

• Location: Located in the United States, Latin America, or Europe, with flexibility to collaborate across time zones.
• Performance Tuning: Strong understanding of application profiling, scalability optimization, and performance tuning.
• Track Record: A history of success within high-growth, collaborative engineering organizations.
• Digital Assets: Exposure to blockchain infrastructure, smart contracts, decentralized finance (DeFi), or digital asset ecosystems.

• Competitive compensation package.
• Opportunity to work at the intersection of cutting-edge AI and digital asset markets.
• Highly autonomous and collaborative work environment.
• Remote-friendly flexibility across eligible regions.