AI Developer
Tasks
- Apply responsible AI safety guardrails
- Build LLM-powered applications
- Build RAG pipelines
- Build inference services and monitoring
- Conduct model experimentation and prototyping
- Create multi-agent workflows
- Design LLM orchestration logic
- Develop AI microservices
- Develop end-to-end AI solutions
- Implement evaluation metrics for models
- Implement predictive machine learning models
- Implement prompt strategies and context management
- Implement vector database retrieval systems
- Integrate AI models with APIs and enterprise systems
- Optimize model performance for inference
- Participate in code reviews
- Perform input sanitization and content filtering
- Use containerization and deployment automation
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Agent systems | Azure | CI/CD | Cloud Computing | Data Ingestion | Data Processing | Deep learning | Docker | Document processing | Embeddings | GCP | Hugging Face | Hugging Face Transformers | Kubernetes | LLM orchestration | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Multi-Agent | Multi-Agent Systems | Prompt engineering | PyTorch | Python | REST APIs | Responsible AI | Retrieval-Augmented Generation | Serverless computing | TensorFlow | Vector Databases
Education
Roles
AI | AI Developer | Developer | Engineer | Learning Engineer | Machine Learning Engineer
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