Senior Applied AI Engineer — Production LLMs, RAG, Hybrid

Fulfillment IQ; Toronto; Hybrid; CAD 135,000 - 170,000; Full time

Benefits offered by this job

Employee health

Time Off

Retirement

Professional Growth

Flexible Work

Perks

Community Engagement

Job summary

Fulfillment IQ is seeking a Senior Engineer, Applied AI in Toronto, Ontario. This onsite/hybrid role requires building production-ready AI systems, owning end-to-end features, and guiding architecture with a focus on speed, accuracy, and scalability.

You will design RAG systems, evaluate models, and implement robust APIs while mentoring newer engineers. Join a high-ownership team shaping the future of logistics technology.

Qualifications

• Strong backend/software engineering foundation (Python, APIs, system design).
• Proven experience shipping LLM-powered features to production.
• Deep expertise in RAG systems, LLM evaluation methodologies, prompt engineering, and agent architectures.
• Strong understanding of trade-offs (cost, latency, scalability).
• Ability to work independently in ambiguous, fast-moving environments.

Responsibilities

• Design and build production-grade LLM systems (RAG, agents, APIs).
• Architect systems that minimize rework in fast-evolving environments.
• Own end-to-end delivery of critical AI features.
• Define and implement evaluation frameworks.
• Optimize systems for cost, latency, and reliability.
• Collaborate across teams where needed.

Skills

Python

LLM systems

RAG systems

Agent architectures

API design

System architecture

Cost optimization

Independent work

Education

Bachelor's or Master's in CS

Tools

Docker

Git

CI/CD

Langfuse

LangSmith

vLLM

llama.cpp

Job description

Fulfillment IQ is seeking a Senior Engineer, Applied AI in Toronto, Ontario. This onsite/hybrid role requires building production-ready AI systems, owning end-to-end features, and guiding architecture with a focus on speed, accuracy, and scalability.

You will design RAG systems, evaluate models, and implement robust APIs while mentoring newer engineers. Join a high-ownership team shaping the future of logistics technology.