LLM Engineer
Tasks
- Automate workflows
- Build LLM powered features
- Build MCP servers
- Build RAG systems
- Collaborate with stakeholders end to end delivery
- Debug and optimize production systems
- Deploy autonomous agents
- Design and implement REST APIs
- Develop backend services
- Develop event-driven architectures
- Develop multi-agent systems
- Implement authentication and data protection
- Implement semantic search
- Integrate vector databases
- Optimize retrieval performance
- Use AI-assisted coding tools
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Anthropic API | Authentication | Autonomous Agents | Best practices | Data Protection | Debugging | Event Driven | Event-driven architecture | FastAPI | Language Models | Language Processing | Large Language Models | MCP servers | Machine Learning | Messaging Systems | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | OpenAI API | Optimization | Python | RAG | REST APIs | Retrieval-Augmented Generation | Security best practices | Semantic Search | Server Side | Server Side Events | Vector Databases
Education
N/A
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