Principal Software Engineer
Tasks
- Architect multi-agent orchestration systems
- Build context engineering solutions with reinforcement learning
- Collaborate cross functionally to deliver AI solutions
- Design LLM workflow planning and execution engines
- Develop lending AI agents and integrate real time chat interfaces
- Ensure secure isolated multi tenant environments
- Implement LLM observability and latency optimization
- Implement backend services with FastAPI
- Lead distributed microservices and event driven architecture design
- Mentor engineering talent and establish architecture best practices
- Optimize model efficiency
- Oversee migration pipelines and persistent state management
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Architecture Best Practices | Asynchronous programming | Best practices | Dspy | Event Driven | Event-driven architecture | FastAPI | LLM Observability | Langchain | Langfuse | Langgraph | Language Models | Large Language Models | Microservices | Model Context Protocol | Model Efficiency | Multi-Agent | Multi-Agent Systems | Multi-tenant | Multi-tenant architecture | PostgreSQL | Prompt Optimization | Python | Reinforcement Learning | SSE | System Architecture | Technical leadership | Tenant architecture | WebSocket | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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