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Spruce InfoTech Inc.

Prompt Engineer

Toronto, ON, Canada

Contract

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Job type: Contract
Apply by: Nov 25, 2026
Posted: Oct 26, 2026

Original job description

Prompt Engineer

6+ Months

Toronto, ON – Hybrid

Mandatory: Prompt Engineering, Gen AI, RAG

Job Description:

5+ years of experience in Prompt Engineering, Generative AI, and Retrieval-Augmented Generation (RAG) solutions, delivering enterprise AI applications using LLMs and foundation models.
Strong expertise in designing, testing, and optimizing prompts, prompt chains, and orchestration workflows to improve accuracy, relevance, safety, and user experience.
Hands-on experience building RAG pipelines involving document ingestion, chunking, embeddings, vector databases, retrieval optimization, and knowledge grounding.
Experience developing Agentic AI systems, including multi-agent orchestration, tool/function calling, planning, reasoning workflows, and autonomous task execution.
Proficient in designing and implementing LLM evaluation (Evals) frameworks, covering quality assessment, hallucination detection, prompt benchmarking, safety testing, and performance monitoring.

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More about this job

Responsibilities

Design, test, and optimize prompts, prompt chains, and orchestration workflows for enterprise AI applications using large language models and foundation models. Build RAG and agentic AI systems, and implement evaluation frameworks to assess quality, detect hallucinations, test safety, and monitor performance.

Requirements

Requires 5+ years of experience in prompt engineering, generative AI, and RAG solutions. Candidates should have hands-on experience with RAG pipelines, agentic AI systems, and LLM evaluation frameworks.

Skills

Prompt Engineering
Generative AI
Retrieval-Augmented Generation
Large Language Models
Foundation Models
Prompt Design
Prompt Optimization
Prompt Chains
Workflow Orchestration
RAG Pipelines
Vector Databases
Agentic AI
Multi-Agent Orchestration
Tool and Function Calling
LLM Evaluation
Hallucination Detection

Visa sponsorship

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Keywords

Prompt Engineering
Generative AI
Retrieval-Augmented Generation
Enterprise AI Applications
Large Language Models
Foundation Models
Prompt Design
Prompt Testing
Prompt Optimization
Prompt Chains
Orchestration Workflows
RAG Pipelines
Document Ingestion
Chunking
Embeddings
Vector Databases
Retrieval Optimization
Knowledge Grounding
Agentic AI
Multi-Agent Orchestration
Tool Calling
Function Calling
Planning
Reasoning Workflows
Autonomous Task Execution
LLM Evaluation Frameworks
Hallucination Detection
Prompt Benchmarking
Safety Testing
Performance Monitoring

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