AI Developer
Tasks
- Build LLM-powered applications
- Collaborate on AI capability requirements
- Conduct model and system evaluation
- Conduct technical reviews and validation
- Create scalable AI services
- Deploy and monitor AI models
- Design production AI systems
- Develop AI agents
- Develop RAG pipelines
- Develop prompt engineering solutions
- Ensure safe AI system design
- Implement AI model lifecycle management
- Implement embedding models
- Manage AI context and document processing
- Mentor engineers on AI development
- Optimize inference and pipeline performance
- Perform model fine-tuning
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic Systems | Azure | Cloud platform | Containerization | Distributed Computing | Embeddings | Fine Tuning | Google Cloud | Google Cloud Platform | Hugging Face | Hugging Face Transformers | LLMOps | Langchain | Llamaindex | Microservices | Model Evaluation | Prompt engineering | PyTorch | Python | RAG | REST APIs | Retrieval-Augmented Generation | Secure Architecture | Serverless | TensorFlow
Education
Roles
AI | AI Developer | Developer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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