Gen AI Engineer
Tasks
- Apply responsible AI principles
- Build RAG systems with vector databases
- Build scalable data pipelines
- Deploy and manage generative AI solutions on cloud
- Design data lakes and lakehouse architectures
- Design end to end generative AI pipelines
- Develop retrieval and generation applications
- Ensure scalability, reliability, and security
- Fine tune and evaluate LLM outputs
- Implement CI CD pipelines and AI monitoring
- Implement data governance and data lineage
- Implement real-time and batch processing
- Integrate structured and unstructured data
- Translate financial services requirements into solutions
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Azure OpenAI | BigQuery | CI/CD | Data Lakes | Databricks | Delta Lake | Docker | Embeddings | Event Hub | GCP | Generative AI | Git | Kafka | Kubernetes | Kubernetes optional | Lakehouse | Langchain | Language Models | Large Language Models | Llamaindex | MLflow | Microservices | Prompt engineering | PySpark | Python | REST APIs | Retrieval-Augmented Generation | SQL | Snowflake | Spark | Terraform | Terraform optional | Vector Databases
Education
N/A
Roles
AI Engineer | Data Engineer | Engineer | Generative AI Engineer
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