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# Full Stack AI Engineer

- **Company:** Ai-powered
- **Location:** Spain (Remote available)
- **Salary:** €140,000.0 - €200,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Automated Storage and Retrieval Systems, Computer Programming, Data Integration, Decision-Making Software, Design of User Interfaces, Information Retrieval, Python (Programming Language), Machine Learning, Node.Js, Performance Tuning, Search Technologies, Software Engineering, TypeScript, Web Platforms, WebRTC, Real Time Systems, Large Language Models, Multi-Agent Systems, Prompt Engineering, Software Application Programming, Generative AI, Backend, Fastapi, Non-relational Database, Front End Software Development, Data Pipelines
- **Published:** August 11, 2026
- **Apply:** https://es.trabajo.org/oferta-9000-81ee8d0f20a8e4b9287b2a65cb76c4e7

## About the Role

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 Requirements Required Qualifications - 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 applicati

## Description

Responsibilities 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 &


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