GenAI/Agentic AI specialists
Tasks
- Build generative AI solutions
- Build vector database retrieval systems
- Create prompt engineering pipelines
- Deploy AI agents in production
- Design AI agents
- Develop machine learning models
- Develop reinforcement learning and planning methods
- Ensure agent safety with guardrails
- Evaluate autonomous decision making
- Fine-tune large language models
- Implement retrieval-augmented generation
- Integrate large language models
- Optimize memory and tool use
- Orchestrate multi-agent workflows
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Autogen | Azure | Azure OpenAI | Cloud platform | CrewAI | Deep learning | Fine Tuning | GenAI framework | Google Cloud | Google Cloud Platform | Guardrails | Image Generation | Keras | Langchain | Langgraph | Language Model | Language Processing | Large Language Model | Llamaindex | LoRA | Machine Learning | Natural Language | Natural Language Processing | OpenAI GPT | PEFT | Pinecone | Prompt engineering | PyTorch | Python | QLoRA | Qdrant | R | RAG | Reinforcement Learning | Retrieval-Augmented Generation | Stable Diffusion | TensorFlow | Text-to-Image | Text-to-Image Generation | Transformer | Vector Database | Web Services
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