Senior GenAI Engineer
Tasks
- Build RAG architectures with vector databases
- Design and deploy Generative AI solutions
- Develop AI pipelines APIs and backend services
- Ensure production scalability security and observability
- Implement cloud native solutions on Azure and AWS
- Integrate LLM capabilities into enterprise platforms
- Monitor troubleshoot and improve AI applications
- Optimize prompts embeddings and AI workflows
- Produce technical documentation
- Set up CI CD processes and infrastructure as code
Perks/Benefits
Skills/Tech-stack
AI Search | AI Security | API Integration | AWS | Access Control | Amazon S3 | Anthropic Claude | Azure | Azure AI | Azure AI Search | Azure Blob | Azure Blob Storage | Blob Storage | CI/CD | ChromaDB | Docker | Embeddings | Faiss | FastAPI | Generative AI | Google Gemini | Injection prevention | Input Sanitization | Kubernetes | LLM | Langchain | Langgraph | NoSQL | OpenAI GPT | Prompt engineering | Prompt injection | Prompt injection prevention | Python | Retrieval-Augmented Generation | SQL | Semantic Search | Terraform | Vector Databases
Education
N/A
Roles
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