AI Architect for Software Development
Tasks
- Build document ingestion pipelines
- Build model serving pipelines
- Build training datasets and fine tune models
- Define agent interfaces and error handling
- Design multi-agent workflows
- Design prompt templates and controlled generation
- Develop domain aware RAG systems
- Implement guardrails and policy engines
- Implement logging tracing observability and evaluation
- Implement schema-bound LLM calls
- Implement self-critique and repair loops
Perks/Benefits
- N/A
Skills/Tech-stack
Attention | Batching | Caching | Chunking | Distillation | Embeddings | Fine Tuning | Function Calling | Huggingface | JSON | Langchain | LoRA | Logging | Observability | Prompt engineering | PyTorch | Python | QLoRA | Retrieval-Augmented Generation | Schema Validation | Streaming | TGI | Tokenization | Tool use | Tracing | Transformers | Triton | VLLM | Vector Databases | XML
Education
N/A
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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