Full Stack AI Engineer
Tasks
- Architect end to end AI financial applications
- Build embedding pipelines and semantic retrieval systems
- Build scalable backend services and APIs
- Deploy and operate AI agents
- Design real-time communication systems
- Develop high-performance user interfaces
- Establish testing and observability standards
- Evaluate and adopt emerging technologies
- Implement and maintain data pipelines
- Implement retrieval-augmented generation pipelines
- Integrate AI capabilities into production
- Operationalize AI powered features
- Optimize system performance and scalability
- Profile and tune application performance
Perks/Benefits
- Autonomous work environment
- Collaborative work environment
- Opportunity to work on AI and digital asset markets
- Remote friendly flexibility
Skills/Tech-stack
API Development | Agent Orchestration | Application Profiling | Asynchronous programming | Data Pipelines | Data integration | Embedding pipelines | FastAPI | JavaScript | Langchain | Language Models | Large Language Models | Machine Learning | Model Context Protocol | Model Context Protocol MCP | Monitoring | NoSQL Databases | Node.js | Observability | Performance optimization | Prompt engineering | Protocol MCP | Python | React | Real Time | Real-Time Communication | Relational databases | Reliability Engineering | Retrieval systems | Retrieval-Augmented Generation | Semantic Search | System Performance | System Performance Optimization | System Scalability | Testing | Tool-Calling | TypeScript | Vector Search
Education
N/A
Roles
AI Engineer | Engineer | Full Stack | Full Stack AI Engineer
Regions
Countries
States
Cities
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