Gen AI
Tasks
- Automate root cause analysis
- Build multi agent systems with LangGraph
- Correlate job failures and SLA breaches across AWS and Databricks
- Design data pipelines for generative AI solutions
- Develop LLM observability for agent performance and hallucinations
- Develop human in the loop agent workflows
- Document agent architectures data pipeline integrations and deployment lifecycles
- Fine tune and optimize LLMs for domain use cases
- Implement AI guardrails and security protocols
- Implement retrieval strategies with vector databases
- Integrate LLMs with RAG frameworks
- Monitor and evaluate LLM and agent performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Asynchronous programming | Attention Mechanisms | Databricks | Delta Lake | Docker | Fine Tuning | Google ADK | Kubernetes | Langchain | Langgraph | LoRA | MLflow | Mosaic AI | PEFT | Pandas | Prometheus | Prompt engineering | PySpark | Python | RAG | Transformer Models | Vector Databases
Education
N/A
Roles
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