Full Stack AI Engineer

Location: Remote - If based in NYC, will require office presence 2/3 days a week, for LATAM and European regions will be expected to work EST hours with a 5 hour overlap. Remote/Hybrid | Full-time Compensation: $140K - $200K We are hiring on behalf of our client, an innovative technology firm who is seeking an experienced Full-Stack AI Engineer to join a growing, AI-focused engineering team. The client develops advanced intelligence and analytics solutions designed to help participants in digital asset markets make more informed decisions by combining financial data, automation, and modern AI technologies to transform complex information into actionable insights. 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. Key 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 & 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. 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 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. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing View email address on click.appcast.io. 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