GenAI engineer

Technical skills requirement \- Experienced Gen\-AI Engineer* Strong proficiency in Python for data processing and automation. Ability to write efficient and well\-structured

code.* Experienced with generative AI models and their integration into data workflows.

• Experienced with prompt engineering and LLM models (Opensource and licensed. Ex Llama, OpenAI)
• Experienced with Application development framework like LangChain or similar frameworks.
• Experienced working with REST frameworks like Fast API, Flask and Django.
• Good understanding of machine learning workflows and deployment.
• Knowledge of ETL processes, data modeling, and data warehousing principles.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes).
• Familiarity with Snowflake for data warehousing and analytics.
• Experienced with cloud platforms (AWS, GCP, Azure) and related services is a plus.
• Strong communication and collaboration skills.
• Excellent problem\-solving skills and attention to detail.

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Key Responsibilities

1\. Data Pipeline Development

o Design and implement scalable data pipelines using Python to ingest, process, and transform log data from various sources.

2\. Generative AI Integration

o Collaborate with data scientists to integrate generative AI models into the log analysis workflow.

o Develop APIs and services to deploy AI models for real\-time log analysis and insights generation.

3\. Data Monitoring and Maintenance

o Set up monitoring and alerting systems to ensure the reliability and performance of data pipelines.

o Troubleshoot and resolve issues related to data ingestion, processing, and storage.

4\. Collaboration and Documentation

o Work closely with cross\-functional teams to understand requirements and deliver solutions that meet business needs.

o Document data pipeline architecture, processes, and best practices for future reference and knowledge sharing.

Evaluation and Testing

o Conduct thorough testing and validation of generative models

Snowflake Utilization

o Design and optimize data storage and retrieval strategies using Snowflake.

o Implement data modeling, partitioning, and indexing strategies to enhance query performance.

Research and Innovation

o Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities.

o Experiment with different architectures and approaches like Agentic AI