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Full Stack Engineer (AI)

MLabs

hybridseniorpermanentfullstackproduct-management United States Today via LinkedIn
160,000 - 200,000 USD/annual

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Tags

PythonFastAPITypeScriptNode.jsReactLLMsLangChainRAGVector DatabasesFinancial Data APIs

About the role

Role Overview

Full-Stack Engineer (AI) joining the company’s AI division. You’ll work with the Head of Product & AI and collaborate closely with the CEO and AI team to build a sophisticated financial AI agent.

Responsibilities

  • System design & architecture: Build robust full-stack systems to power a proprietary AI financial agent API.
  • Backend development: Develop scalable APIs and backend services supporting complex agent workflows.
  • Interface engineering: Create high-performance UIs that visualize agent reasoning, surface financial insights, and enable real-time interaction.
  • AI integration: Work with AI researchers to productionize agent logic and integrate LLM frameworks.
  • Data management: Connect and manage data pipelines from multiple financial data providers.
  • Operational excellence: Implement testing, monitoring, and performance best practices for reliability.
  • Innovation: Stay current with LLM frameworks, full-stack tooling, and financial/DeFi trends.

Requirements

  • 5+ years of professional full-stack development in fast-paced/emerging environments.
  • Strong proficiency in Python (FastAPI), JavaScript/TypeScript, Node.js, and React.
  • Proven experience building scalable APIs and web applications, with knowledge of relational and non-relational databases.
  • Hands-on LLM experience (e.g., LangChain or similar), including vector databases, RAG pipelines, and asynchronous programming.
  • Professional experience working with financial data and APIs.
  • Location flexibility to work from an office in Brooklyn, NY five days a week (NYC preference), including remote options working EST hours.

Preferred Qualifications

  • Production experience deploying LLM-based agents.
  • Prompt engineering, tool-use orchestration (e.g., MCP), and semantic search.
  • Experience with embedding pipelines and RAG architectures.
  • Familiarity with smart contracts, blockchain protocols, and DeFi.

Interview Process

  • 30-min recruiter/HR screening
  • 30-min discussion with Head of Product & AI
  • Technical Evaluation I: 1 hour LeetCode-style (AI tool use permitted)
  • Technical Evaluation II: 1 hour syntax/programming fundamentals (AI tool use permitted)
  • 30-min executive interview with Founder/CEO

About MLabs

MLabs is partnering with a client that builds automated, on-chain economic security systems for DeFi. The company provides high-fidelity custom EVM simulations to help crypto protocols secure and optimize assets, using data-driven insights and AI to improve risk management and capital efficiency.

Scraped 4/10/2026

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