Senior Gen AI Engineer (R-19088)
Tasks
- Build agentic workflows and autonomous agents
- Build distributed data pipelines
- Collaborate with data scientists to productionize proofs of concept
- Contribute to CI CD workflows for AI model deployment testing and monitoring
- Deploy scalable agent pipelines with monitoring and evaluation
- Develop APIs and integration layers for AI applications
- Develop GenAI applications using large language models
- Implement governance and guardrails for GenAI
- Implement retrieval augmented generation using vector search
- Optimize systems for performance and scalability in cloud environments
- Orchestrate prompts and evaluate model performance
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Agent Framework | Azure | Bedrock | CI/CD | Cloud platform | Data Processing | Distributed data | Distributed data processing | Docker | Embeddings | Google Cloud | Google Cloud Platform | Hallucination detection | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Model Evaluation | OpenAI | Prompt engineering | Prompt orchestration) | PySpark | Python | RAG | Retrieval-Augmented Generation | Tool-Calling | Transformers | Vector Search | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Engineer | Gen AI Engineer
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