Senior Machine Learning Engineer (LLMs - Agentic Workflows)
Tasks
- Add error handling and self correction
- Apply guardrails and human in the loop checkpoints
- Architect agent workflows
- Build evaluation frameworks for workflow success
- Develop plan and execute patterns
- Implement short term memory for long running tasks
- Integrate LLM with external systems databases and APIs
- Set up monitoring for workflow failures
- Standardize tool calling function execution and sandboxed Python
Perks/Benefits
- Annual company retreat
- Company paid time off
- Education bonus
- Equity participation
- High-performance culture
- Optional events and meetups
- Tailored career roadmap
- Winter break
Skills/Tech-stack
API Integration | AWS | Agentic Workflows | Algorithms | Azure | Claude API | Data Structures | Error Handling | GCP | Human-in-the-loop | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Milvus | Monitoring | Object-Oriented | Object-oriented programming | OpenAI API | Pinecone | Prompt engineering | Python | Qdrant | RAG | React | Retrieval-Augmented Generation | State management | System design | The Loop | Vector Databases
Education
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