Job Title: AI Developer

Location: Brampton, Ontario

Total Experience - 8+ Years

What You Will Do

- Build RAG Pipelines: Implement custom chunking, embeddings, hybrid search, re-ranking, and retrieval logic tailored to domain-specific semantics.
- Agentic Orchestration: Build multi-step agents with working memory, tool execution, state tracking, and deterministic control flows.
- Context Engineering: Optimize prompts, context packing, and token-economics to maximize reasoning quality while minimizing latency and cost.

Required Qualifications

- Solid software engineering fundamentals with intermediate Python.
- Experience building transparent AI systems using standard libraries and HTTP clients.
- Hands-on FastAPI server development.
- Knowledge of Google’s GECX.
- Experience with structured extraction (JSON schemas, Pydantic) and advanced prompting.

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: Strong 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

Thanks & Regards

Michael [email protected]

📌 AI Developer- (only (Brampton)
🏢 Ampstek
📍 Brampton