MLabs
Financial Services
FullStackAIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Full Stack AI Engineer at MLabs. Skills: Full-Stack Development, AI Engineering, Financial Technology. Architect end-to-end applications. Develop end-to-end applications”
Industry & Context.
Office presence 2/3 days a week (NYC), Work EST hours (LATAM/Europe), 5 hour overlap (LATAM/Europe)
What They're Looking For.
Must Have
5+ years professional experience, 5+ years building full-stack applications, Python programming experience, Modern API frameworks experience, Advanced JavaScript proficiency, Advanced TypeScript proficiency, Extensive Node.js experience, Advanced React proficiency, Scalable web platforms experience, Scalable APIs experience, Scalable backend services experience, Relational database understanding, Non-relational database understanding, Deep prompt design knowledge, Deep tool-calling architectures knowledge, Deep Model Context Protocol knowledge, Deep agent orchestration patterns knowledge, Experience deploying AI agents, Experience operating AI agents, Experience deploying autonomous workflows, Experience operating autonomous workflows, Experience building embedding pipelines, Experience building semantic retrieval systems, Experience building advanced search capabilities, Vector search technologies familiarity, Retrieval-augmented generation familiarity, Asynchronous application patterns familiarity, Experience developing with LLMs, Experience with AI orchestration frameworks, Experience with financial datasets, Experience with market data, Experience with financial service APIs, Ability to operate autonomously, Ability to operate with ownership
Nice to Have
Located in US, LATAM, or Europe, Flexibility to collaborate across time zones, Application profiling understanding, Scalability optimization understanding, Performance tuning understanding, Success in high-growth organizations, Success in collaborative engineering organizations, Exposure to blockchain infrastructure, Exposure to smart contracts, Exposure to decentralized finance, Exposure to digital asset ecosystems
What You'll Do.
Architect end-to-end applications
Develop end-to-end applications
Maintain end-to-end applications
Build scalable backend services
Create intuitive user interfaces
Create high-performance user interfaces
Design real-time systems
Integrate AI capabilities
Implement data pipelines
Maintain data pipelines
Support deployment of AI features
Support operationalization of AI features
Establish testing standards
Establish observability standards
Establish monitoring standards
Establish reliability standards
Optimize system performance
Optimize system scalability
Optimize system maintainability
Evaluate emerging technologies
Adopt emerging technologies
Stay informed on LLM developments
Stay informed on agent framework developments
Stay informed on financial technology developments
Stay informed on web architecture developments
Contribute to technical discussions
Shape engineering best practices
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Partner with research teams; Partner with machine learning teams; Work with product leadership; Work with research leadership; Work with engineering leadership
Full Job Description
**Location: **Remote - If based in NYC, will require office presence 2/3 days a week, for LATAM and European regions will be expected to work EST hours with a 5 hour overlap. **Remote/Hybrid | Full-time** **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. **Key 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. **AI & Data Integration** * **Cross-Functional Collaboration:** Partner with research and machine learning teams to integrate AI capabilities into production environments. * **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.
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