Senior Generative AI Engineer
USD 125K-188K (estimate) Senior-level Full Time
Tasks
- Build AI agents and agent workflows
- Build LLM-powered applications
- Build monitoring and observability
- Create model evaluation pipelines
- Deploy AI services to cloud
- Design generative model algorithms
- Develop RAG pipelines
- Establish AI guardrails and security controls
- Implement MLOps workflows
- Implement prompt engineering
- Implement tool calling
- Integrate LLM model providers
- Mentor engineers and guide architecture
- Optimize model output quality
Perks/Benefits
- N/A
Skills/Tech-stack
AI Safety | AI Search | AWS Bedrock | Amazon SageMaker | Amazon Web Services | Azure | Azure AI | Azure AI Search | Azure ML | Azure OpenAI | CI/CD | Chroma | Cloud platform | Deep learning | Docker | Elasticsearch | Faiss | Google Cloud | Google Cloud Platform | Governance | JAX | Kubeflow | Kubernetes | LLM-powered Applications | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | MLflow | Model Evaluation | Natural Language | Natural Language Processing | Pinecone | Privacy | Prompt engineering | PyTorch | Python | RAG | Red Teaming | Responsible AI | Retrieval-Augmented Generation | Semantic Kernel | Structured Output | TensorFlow | Tool-Calling | Vector Databases | Vertex AI | Weaviate | Web Services
Education
Regions
Countries
States
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