Full Stack AI Engineer

MLabs

Full Stack AI Engineer developing AI-driven financial applications for technology firm. Collaborating with product and engineering teams to transform data into actionable insights.

Posted 6/9/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

JavaScriptNode.jsPythonReactTypeScript

About the role

Key responsibilities & impact

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: 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: 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: 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

What you’ll need

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.

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

full-stack developmentPythonFastAPIJavaScriptTypeScriptNode.jsReactAI frameworksdata pipelinessystem design

Soft Skills

autonomyownershipadaptabilitycollaborationcommunicationproblem-solvingcritical thinkingtechnical discussionsengineering best practicescontinuous learning