MLabs
Full Stack AI Engineer
New York, New York, United States · Full-time
No sponsorship$140k-$200kDetected 23 days ago
JavaScriptTypeScriptPythonReactBackend DevelopmentFull-Stack DevelopmentMachine LearningData EngineeringLLMsRAGAgentic AIAI OrchestrationDesign SystemsResearchLeadershipCommunicationCollaboration
About the role
- This is a highly collaborative position that requires strong ownership, technical depth, and the ability to move quickly from concept to production.
- Engineering Excellence Standards & Reliability: Establish testing, observability, monitoring, and reliability standards across applications and services.
Responsibilities
- 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.
- 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.
- Optimization: Optimize system performance, scalability, and maintainability.
- Architect, develop, and maintain end-to-end applications powering AI-driven financial products.
- Build scalable backend services and APIs that support intelligent workflows and automated decision-making.
- Design systems that support real-time communication between users, data sources, and AI components.
Requirements
- 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.
- Experience deploying and operating AI agents or autonomous workflow systems in production environments.
- Familiarity with vector search technologies, retrieval-augmented generation (RAG), and asynchronous application patterns.
- Professional Attributes: Ability to operate comfortably in fast-moving environments with significant autonomy and ownership.
- Strong programming experience with Python, including modern API frameworks such as FastAPI.
Nice to have
- Performance Tuning: Strong understanding of application profiling, scalability optimization, and performance tuning.
- Track Record: A history of success within high-growth, collaborative engineering organizations.
- Digital Assets: Exposure to blockchain infrastructure, smart contracts, decentralized finance (DeFi), or digital asset ecosystems.
- Competitive compensation package.
- Opportunity to work at the intersection of cutting-edge AI and digital asset markets.
- Highly autonomous and collaborative work environment.
- 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.
Skills
- Evaluate and adopt emerging technologies across AI, software engineering, and financial infrastructure.
- Stay informed on developments in large language models, agent frameworks, financial technologies, and modern web architectures.
Compensation
- $140K - $200K We are hiring on behalf of our client, an innovative technology firm who is seeking an experienced Full-Stack AI Engineer to join a growing, AI-focused engineering team.
- The client develops advanced intelligence and analytics solutions designed to help participants in digital asset markets make more informed decisions by combining financial data, automation, and modern AI technologies to transform complex information into actionable insights.
- In this role, the successful candidate will work closely with product, research, and engineering leadership to develop next-generation, AI-powered financial applications.
- This is a highly collaborative position that requires strong ownership, technical depth, and the ability to move quickly from concept to production.
- 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.
Benefits
- AI & Data Integration Cross-Functional Collaboration: Partner with research and machine learning teams to integrate AI capabilities into production environments.
- Continuous Learning Industry Trends: Stay informed on developments in large language models, agent frameworks, financial technologies, and modern web architectures.
Company info
- At MLabs, we are committed to offer equal opportunities to all candidates.
- 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.
- 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.
This listing is sourced directly from MLabs's careers page and normalized into a canonical job model.