Generative AI Engineer
INR 1200K-2500K (estimate) Mid-level Full Time
Tasks
- Benchmark LLMs for cost performance
- Build applications powered by large language models
- Build autonomous agents
- Deploy generative AI models on cloud
- Design reusable prompt templates
- Develop multimodal AI solutions
- Document AI frameworks best practices and risks
- Drive MLOps for ML pipelines
- Evaluate fine-tuning strategies
- Implement RAG pipelines with vector databases
- Implement drift detection and canary releases
- Implement observability security guardrails and compliance
- Integrate GenAI solutions into microservices and APIs
- Set retraining schedules
- Support proof of concepts and enterprise rollouts
- Tune prompt flows for reliability and relevance
Perks/Benefits
Skills/Tech-stack
AI Services | AWS | Amazon SageMaker | Anthropic API | Azure | Azure AI | Azure AI Services | Bedrock | CI/CD | Canary Releases | ChromaDB | Drift Detection | Embeddings | Faiss | FastAPI | Flask | GDPR | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Hugging Face | Hugging Face Transformers | Langchain | Llamaindex | LoRA | MLOps | Microservices | Milvus | OpenAI API | PEFT | PGVector | Pinecone | Prompt engineering | PyTorch | Python | Qdrant | RAG | RLHF | Responsible AI | Retraining | Transformer Architectures | Vector Databases | Vertex AI | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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