Applied AI Engineer
San Francisco, New York, California, New York, United States
A USD 200K-250K Senior-level Full Time
Tasks
- Build AI observability systems and agent health monitoring
- Build AI-powered features
- Build ETL pipelines for financial market data
- Build MCP connected tools and data sources
- Build agentic workflows for investment research
- Build automated summarization and research intelligence systems
- Build front-end interfaces using React
- Create command line tools and MCP servers
- Deploy and operate applications with Kubernetes
- Design AI orchestration systems and agent pipelines
- Develop AI infrastructure for internal and client use
- Develop LLM powered research automation tools
- Develop backend APIs using Python
- Implement natural language interfaces for financial datasets
- Integrate LLM APIs into production systems
Perks/Benefits
Skills/Tech-stack
Agentic AI | Azure | Cloud infrastructure | Data Pipelines | Django | ETL | FastAPI | Flask | JavaScript | Kubernetes | LLM APIs | Langchain | Langgraph | MCP | Pandas | Polars | Prompt engineering | Python | REST APIs | React | SQL | TypeScript
Education
Regions
Countries
States
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