Generative AI Engineer
INR 2000K-3500K (estimate) Mid-level Full Time
Tasks
- Apply security guardrails
- Benchmark LLMs for use-case fit
- Build LLM applications
- Build autonomous agents
- Deploy APIs with FastAPI
- Deploy GenAI models to cloud
- Design prompt templates
- Detect model drift
- Develop multimodal AI solutions
- Document frameworks and best practices
- Drive MLOps CI CD
- Ensure performance observability
- Evaluate fine-tuning strategies
- Implement rag pipelines
- Integrate GenAI into microservices
- Manage canary releases
- Schedule retraining
- Support GDPR compliance
- Tune prompt flows
Perks/Benefits
Skills/Tech-stack
AI Studio | AWS SageMaker | Agents | Amazon Bedrock | Anthropic API | Azure AI | Azure AI Studio | CI/CD | COT | Canary Releases | ChromaDB | Drift Detection | Embeddings | Faiss | FastAPI | Fine Tuning | Flask | GDPR | Google Vertex | Google Vertex AI | Graph-of-Thought | Hugging Face | Langchain | Llamaindex | LoRA | MLOps | Microservices | Milvus | Observability | OpenAI API | PEFT | PGVector | Pinecone | Prompt engineering | PyTorch | Python | Qdrant | RAG | RLHF | React | Responsible AI | Retraining | Transformers | Vector Databases | Vertex AI | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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