GenAI Engineer
Tasks
- Build embeddings vector search and retrieval pipelines
- Build production backend services
- Create CI CD experiment tracking and model versioning
- Design build deploy ML and GenAI systems
- Develop RAG pipelines
- Develop model monitoring logging and debugging
- Implement agentic orchestration and tool use
- Implement evaluation for quality latency cost and hallucinations
- Implement privacy security and guardrails
- Integrate LLM APIs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic Systems | Azure | CI/CD | Chunking | Context Construction | Context engineering | Cost Optimization | Data Pipelines | Debugging | Django | Docker | Embeddings | Evaluation | Experiment tracking | FastAPI | Flask | GCP | Guardrails | Hallucination detection | Haystack | LLM API | Langchain | Langgraph | Latency optimization | Logging | MCP | MLOps | Model versioning | Monitoring | NoSQL | Orchestration | Privacy | Prompt engineering | Python | RAG | Relational databases | Reranking | Retrieval Pipeline | Security | Tool use | Vector Search | Vector Stores
Education
N/A
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