Generative AI Engineer
INR 1800K-3300K (estimate) Mid-level Full Time
Tasks
- Benchmark LLMs
- Build applications with large language models
- Deploy generative AI models on cloud
- Design prompt templates
- Detect model drift
- Develop autonomous agents
- Develop multimodal AI solutions
- Document best practices
- Drive MLOps with CI CD
- Ensure compliance
- Evaluate fine-tuning strategies
- Implement rag pipelines
- Implement security guardrails
- Integrate solutions into microservices and APIs
- Manage canary releases
- Schedule model retraining
- Tune prompt flows
Perks/Benefits
Skills/Tech-stack
AI Studio | AWS SageMaker | Amazon Bedrock | Anthropic API | Azure AI | Azure AI Studio | CI/CD | Canary Releases | Chain-of-Thought | ChromaDB | Drift Detection | Faiss | FastAPI | Flask | Google Vertex | Google Vertex AI | Graph-of-Thought | Hugging Face | Langchain | Llamaindex | LoRA | MLOps | Milvus | Model Drift | Model Drift Detection | OpenAI API | PEFT | PGVector | Pinecone | Prompt engineering | PyTorch | Python | Qdrant | RAG | RLHF | React | Transformer Models | Vector embeddings | Vertex AI | Weaviate
Education
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