Full Stack Engineer (AI) position at MLabs.| United States Of America

_{2026-04-10T10:09:02.107Z} bot

MLabs Full Stack Engineer (AI)

Experience: 5-years

Pattern: full-time

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New York....United States Of America

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Full-Stack Engineer, (AI) Location: Based in the United States with the ability to work remote or from our Brooklyn office, LATAM or Europe. Remote | Full-time Compensation: $160K - $200K Our client is a pioneer in automated, on-chain economic security systems, providing high-fidelity custom EVM simulations to protect and optimize decentralized finance (DeFi) protocols. Trusted by the industry’s leading platforms to secure and manage billions of dollars in assets, our client enables crypto protocols to refine risk management and capital efficiency through actionable, data-driven insights. The organization is seeking a proactive and results-driven Full-Stack Engineer to join their AI division. Reporting directly to the Head of Product & AI, this individual will play a critical role in collaborating with the CEO and the AI team to develop a sophisticated financial AI agent. The ideal candidate thrives in high-velocity, self-directed environments and possesses the technical breadth to manage everything from scalable backend services to high-performance, user-facing interfaces. Key Responsibilities System Design: Architect and build robust full-stack systems to power a proprietary AI financial agent. API & Backend Development: Develop scalable APIs and backend services designed to support complex agent workflows. Interface Engineering: Build high-performance user interfaces that visualize agent reasoning, surface deep financial insights, and enable real-time interaction. AI Integration: Collaborate closely with AI researchers to productionize agent logic and integrate Large Language Model (LLM) frameworks. Data Management: Connect and manage complex data pipelines sourced from various financial providers. Operational Excellence: Implement rigorous testing, monitoring, and performance best practices to ensure system reliability. Innovation: Stay at the forefront of LLM frameworks, full-stack development tools, and evolving financial trends to maintain a competitive edge. Interview Process Initial Screening: 30-minute call with Recruiter / HR. Hiring Manager Interview: 30-minute discussion with the Head of Product & AI. Technical Evaluation I: 1-hour session focused on LeetCode-style challenges (AI tool usage permitted). Technical Evaluation II: 1-hour session focused on syntax and programming fundamentals (AI tool usage permitted). Executive Interview: 30-minute final discussion with the Founder / CEO. Experience: 5+ years of professional full-stack development experience, preferably in fast-paced or emerging technology sectors. Technical Stack: Strong proficiency in Python (FastAPI), JavaScript/TypeScript, Node.js, and React. Backend Expertise: Proven experience building scalable APIs, web applications, and a solid knowledge of both relational and non-relational databases. AI & LLM Proficiency: Hands-on experience with LLMs and frameworks such as LangChain or similar; familiarity with vector databases, RAG pipelines, and asynchronous programming. Domain Knowledge: Professional experience working with financial data and APIs. Location: Ability to work from the Brooklyn, NY office five days a week. Preferred Qualifications: Previous experience building and deploying LLM-based agents in production environments. Familiarity with prompt engineering, tool use orchestration (MCP), and semantic search. Experience with embedding pipelines and RAG architectures. Exposure to smart contracts, blockchain protocols, and DeFi systems. Based in the United States with the ability to work remote or from our Brooklyn office, LATAM or Europe.

Full Stack Engineer (AI) job opportunity at MLabs.

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