Generative AI Applications Engineer (Agents & RAG)
Tasks
- Apply zero trust and audit ready controls for secure environments
- Build agentic workflows and RAG systems
- Create retrieval pipelines and vector search
- Define SLI SLO and run incident response
- Design and ship generative AI applications
- Implement platform integrations without model training
- Instrument metrics logs traces and run experiments
- Select and evaluate large language models
- Ship reusable SDKs and CI CD templates
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | AWS Bedrock | Amazon Kendra | Azure OpenAI | B testing | Bash | CI/CD | Chroma | Docker | Document AI | Evaluation | Faiss | FinOps | Gemini | Gemma | Generative AI | Google Vertex | Google Vertex AI | Incident Response | Infrastructure as Code | Kubernetes | Langchain | Language Models | Large Language Models | Linux | Llamaindex | Observability | OpenSearch | PGVector | Pinecone | Powershell | Prompt engineering | Python | RAG | SLI | SLO | Semantic Kernel | Terraform | Vector Search | Vertex AI | Weaviate | Zero Trust | “as-code”
Education
N/A
Regions
Countries
States
Cities
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