Artificial Intelligence Engineer

Job summary

Lead emerging technology or enterprise AI initiatives and develop AI solutions using agentic AI, large language models, and graph or retrieval-augmented generation architectures. Build and support cloud-based AI applications, data pipelines, and web applications, applying SDLC best practices and DevSecOps protocols.

Job details

Job Title: Sr AI Engineer Location: Toronto, ON Work Arrangement: Hybrid-4 days/ week Employment Type: Contract Pay Rate: CAD 75-78/hour Domain: BFSI Application Deadline: Oct. 30th, 2026 Skills: 10 + years of progressive engineering experience. Should have experience leading emerging technology or enterprise AI initiatives. Deep hands-on experience with LangChain, LlamaIndex, Amazon Bedrock, Agentic AI, MCP, and Graph/RAG architectures. Core proficiency with commercial and open-source models (GPT, Claude, Gemini, LLaMA), advanced prompt engineering, and LLM fine-tuning techniques. Proven experience with Vector and Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune), query optimization, and ETL orchestration using Apache Airflow/DAGs. Comprehensive knowledge of AWS infrastructure, including computation (EKS, Fargate, Lambda, EC2), networking/load balancing (ELB, GLB, NLB), data analytics (Athena, Glue, Lake Formation), and Infrastructure as Code (Terraform, Puppet, Docker). Strong proficiency in Python (NumPy, Pandas, Matplotlib, Boto3) alongside modern web application development using Next.js, React, and TypeScript/JavaScript. Familiarity with automated AI and web testing frameworks (Ragas, Playwright, Zephyr, Selenium) and Business Intelligence tools (QuickSight, Tableau). Strong familiarity with the full Software Development Life Cycle (SDLC) best practices and DevSecOps protocols. EEOC Compliance: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.

What you’ll do

Lead emerging technology or enterprise AI initiatives and develop AI solutions using agentic AI, large language models, and graph or retrieval-augmented generation architectures. Build and support cloud-based AI applications, data pipelines, and web applications, applying SDLC best practices and DevSecOps protocols.

Requirements

Requires 10 or more years of progressive engineering experience, including experience leading emerging technology or enterprise AI initiatives. Candidates should have hands-on expertise in AI frameworks and models, AWS infrastructure, databases, data orchestration, Python, modern web development, testing, and SDLC and DevSecOps practices.

Listed skills

• prompt engineering · Preferred
• Amazon Web Services · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Artificial Intelligence
• LangChain
• LlamaIndex
• Amazon Bedrock
• Agentic AI
• Model Context Protocol
• Graph and Retrieval-Augmented Generation Architectures
• Large Language Models
• Prompt Engineering
• LLM Fine-Tuning
• Vector and Graph Databases
• Apache Airflow
• AWS
• Python
• React and Next.js
• DevSecOps

Job areas

• Technology
• Software
• Data & Analytics
• Engineering

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