MLabs is seeking a Full-Stack Engineer to develop their financial AI agent, which is part of their automated, on-chain economic security system for crypto protocols. This system aims to optimize risk management, capital efficiency, and safeguard user funds by analyzing protocol mechanics and scenario implications using custom EVM simulations.
Requirements
- 5+ years of full-stack development experience.
- Strong proficiency in Python (FastAPI), JavaScript/TypeScript, and Node.js.
- Strong proficiency in React.
- Proven experience building scalable APIs and web applications.
- Solid knowledge of relational and non-relational databases.
- Hands-on experience with LLMs and frameworks like LangChain or similar.
- Familiarity with vector databases, RAG pipelines, and async programming.
Responsibilities
- Design and build end-to-end full-stack systems for our AI financial agent.
- Develop scalable APIs and backend services to support agent workflows.
- Build high-performance, user-facing interfaces to visualize agent reasoning and surface insights, and enable real-time interaction.
- Collaborate with AI researchers to integrate and productionize agent logic.
- Connect and manage data pipelines from financial sources.
- Implement testing, monitoring, and performance best practices.
- Stay up to date with LLM frameworks, full-stack tools, and financial trends.
Other
- Remote USA to work EST hours - Will accept LATAM region to work EST hours and also Tel Aviv.
- Comfortable working in fast-paced, self-directed environments.
- Ability to work from our Brooklyn Office 5 days a week (mandatory for NYC-based candidates).
- Experience building LLM-based agents in production environments.
- Familiarity with prompt engineering, tool use orchestration (MCP), and AI agent design.
