AI Engineer II
Tasks
- Apply unsupervised learning for anomaly detection
- Build Agentic AI workflows
- Build and evaluate ML models
- Deploy LLM features on AWS
- Deploy and monitor models on AWS
- Evaluate LLM outputs
- Implement guardrails and output validation
- Implement rag pipelines
- Orchestrate LLM tasks
- Perform prompt engineering
- Set up LLM monitoring and observability
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS CloudWatch | AWS Lambda | Amazon SageMaker | Anomaly Detection | CI/CD | Clustering | Embeddings | Faiss | GitHub Actions | HuggingFace Transformers | Jenkins | LLM Evaluation | Langchain | Langfuse | Langgraph | Language Models | Large Language Models | Malware Detection | NumPy | OpenSearch | Pandas | Pinecone | Prompt engineering | Promptfoo | PyTorch | Python | RAG | React | S3 | Scikit-learn | Supervised Learning | Tool-Calling | Unsupervised Learning | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
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