Gen AI Developer
Tasks
- Build LLM-based applications
- Deploy GenAI models to production
- Design and integrate knowledge graphs
- Develop prompt engineering strategies
- Establish production deployment pipelines
- Implement agentic framework use cases
- Implement rag pipelines
- Integrate generative AI with enterprise applications via APIs
- Set up model evaluation processes
- Store and retrieve data using vector databases
- Tune prompts and reusable prompt templates
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Agentic Frameworks | CI/CD | Claude | FastAPI | Google Gemini | Hugging Face | Knowledge graphs | Langchain | Llama | Llamaindex | MLOps | Mistral | Model Evaluation | MongoDB | Neo4j | NumPy | OpenAI | Orchestration | Pandas | Pinecone | PostgreSQL | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | Seaborn | TensorFlow | Transformers | Vector Databases | Vertex AI
Education
N/A
Roles
AI | AI Developer | Developer | Engineer | Learning Engineer | Machine Learning Engineer
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