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

• 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.

Our client provides a comprehensive benefits package designed to support professional growth and personal well-being:

• Time Off: Competitive PTO (21 days), sick leave (7 days), and 8 observed US company holidays.
• Health & Wellness: 100% employer-paid medical, dental, and vision insurance for employees and their dependents; access to FSA or HSA options.
• Family Support: A thoughtful and inclusive Parental Leave Policy.
• Corporate Wellness: Access to premium programs including OneMedical, Teladoc, Talkspace, and Employee Assistance Programs (EAP).
• Professional Growth: Career advancement opportunities within a rapidly expanding global technology firm, including personalized professional development.
• Commuter Benefits: Pre-tax commuter benefits to support office-based work.

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 human-resources@mlabs.city.

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

Salary : $160,000 - $200,000