Summary
✨ AI‑Generated
A hands-on AI development role focused on building transparent, debuggable infrastructure for retrieval-augmented generation and agentic systems. You will implement custom chunking, embeddings, retrieval and re-ranking, agent state machines, structured prompts, and context-construction mechanisms, with a strong emphasis on observability, testing, and enterprise-scale performance.
Highlights
Hands-on opportunity to build AI infrastructure from the ground up, with ownership of RAG, agentic workflows, retrieval, prompting, observability, testing, and performance optimization for enterprise workloads.
Description
Role: AI Developer
Location: Brampton, Canada (Hybrid)
Job Type: Contract
Job Description:
A hands-on builder who writes the native code powering RAG pipelines,
agentic workflows, and context-engineering systems.
You will work close to
the metal: no heavy frameworks, no magic abstractions: just transparent,
debuggable AI infrastructure.
About the Role
You will implement the mechanical core of AI features: chunking logic,
embedding flows, retrieval algorithms, agent state machines, and
prompt-construction engines.
You will ensure every component is observable,
testable, and optimized for enterprise workloads.
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
Himanshu Verma | Technical Recruiter - US Staffing
Email: Himanshu.v@ampstek.com | Desk: (609)-527-8914
LinkedIn: https://www.linkedin.com/in/hv2026/
Ampstek LLC – Global IT Partner | www.ampstek.com
