Gen AI Developer
Tasks
- Build LLM-based applications
- Create reusable prompt templates
- Deploy generative AI models to production
- Develop prompt engineering strategies
- Establish deployment pipelines
- Evaluate models in production
- Implement agentic framework use cases
- Implement retrieval-augmented generation pipelines
- Integrate generative AI with enterprise applications
- Store and retrieve embeddings using vector databases
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agentic Frameworks | Anthropic Claude | FastAPI | Google Gemini | Hugging Face | Knowledge graphs | Langchain | Language Models | Large Language Models | Llama | Llamaindex | MLOps | Mistral | Model Evaluation | MongoDB | Neo4j | NumPy | OpenAI | Orchestration | Pandas | Pinecone | PostgreSQL | Prompt Tuning | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | Seaborn | TensorFlow | Transformers | Vector Databases | Vertex AI
Education
N/A
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