Technical Architect (Python + AI)
Tasks
- Build LLM and agentic AI applications using orchestration frameworks
- Design conversational and agentic AI systems
- Ensure data privacy regulatory compliance and ethical AI
- Evaluate and select AI frameworks and tools
- Implement MLOps processes and best practices
- Lead end-to-end solution architecture
- Mentor engineering teams on AI technology adoption
- Oversee machine learning model development and deployment
- Own nonfunctional requirements for latency cost and observability
- Prepare technical documentation and architectural diagrams
- Select LLMs and implement retrieval and tool calling
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Azure | CI/CD | Cost Optimization | Data Governance | Data Privacy | Deep learning | Docker | Docker Compose | Ethical AI | Google Cloud | Hugging Face | Java | JavaScript | Keras | Kubernetes | LLM | Langchain | Latency optimization | Llamaindex | MLOps | MLflow | Machine Learning | Model Deployment | Model Management | Observability | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | TensorFlow Serving
Education
Roles
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