Skillset Requirements
Native RAG Implementation: Custom chunking, embeddings, hybrid search, re-ranking, and retrieval logic.
Agentic Programming: Building tool-use flows, working memory, state machines, and deterministic agent orchestration.
Prompt Engineering: Crafting structured prompts, multi-shot reasoning scaffolds, and domain-specific context packing.
Python Engineering: Solid fundamentals, async programming, concurrency, and performance tuning.
FastAPI: Building transparent, debuggable AI microservices.
Structured Extraction: JSON schema design, Pydantic models, and deterministic extraction patterns.
LLM Tooling: Experience with HTTP clients, raw API calls, and minimal-framework AI development.
Testing & Debugging: Unit tests for agents, RAG regression tests, and prompt-level debugging
Observability: Instrumenting tracing, logging, and token/latency metrics for agents and RAG components.
📌 Ai Developer Canadian Citizen And Pr Brampton
🏢 Ampstek
📍 Brampton
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