Gen AI Developer
Tasks
- Build LLM-based applications
- Deploy GenAI models to production environments
- Design knowledge graph integrations
- Develop prompt engineering strategies
- Evaluate models and establish deployment pipelines
- Implement agentic framework use cases
- Implement retrieval-augmented generation pipelines
- Integrate generative AI with enterprise applications using APIs
- Store and retrieve data using vector databases
- Tune prompts and create reusable prompt templates
- Use orchestration tools for LLM workflows
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agentic framework | FastAPI | Hugging Face | Knowledge graphs | Langchain | Llamaindex | MLOps | Model Evaluation | Mongo Atlas | Neo4j | NumPy | Orchestration | PGVector | Pandas | Pinecone | Prompt Tuning | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | Seaborn | TensorFlow | Transformers | Vector Databases | Vertex AI
Education
N/A
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