Principal Software Engineer - AI
Tasks
- Architect and implement multi agent orchestration systems
- Build context engineering solutions
- Collaborate with data architects and product teams to deliver AI solutions
- Create scalable backend services using FastAPI
- Design LLM driven workflow planning and execution engines
- Develop AI agents for lending functions and integrate chat interfaces
- Implement LLM observability and latency optimization
- Lead system level design across distributed microservices and event driven systems
- Mentor engineering talent and establish architectural best practices
- Oversee migration pipelines and persistent state management
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Asynchronous programming | Context engineering | Distributed Systems | Dspy | Event Driven | Event-driven architecture | FastAPI | Function Calling | LLM integration | Langchain | Langfuse | Langgraph | Microservices | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Multi-tenant | Multi-tenant architecture | PostgreSQL | Prompt Optimization | Prompt engineering | Python | Reinforcement Learning | Reinforcement Learning Informed Context Engineering | SSE | System Architecture | Tenant architecture | WebSocket | Workflow Orchestration
Education
Regions
Countries
States
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