Artificial Intelligence Engineer

Pacer Group; Toronto; On-site; CAD 150,000 - 210,000; Full time

Job summary

Pacer Group in Toronto, Canada, is seeking an accomplished engineering leader to drive innovative AI initiatives. The role requires hands-on expertise with LangChain, LlamaIndex, AWS Bedrock, and RAG architectures, plus strong command of modern LLMs and prompt engineering.

You will oversee end-to-end AI projects, guide system design, data pipelines, and integration with graph databases—ensuring scalable, secure enterprise solutions.

Qualifications

• 10+ years of progressive engineering experience.
• Experience leading emerging technology or enterprise AI initiatives.
• Deep hands-on experience with LangChain, LlamaIndex, Amazon Bedrock, and Graph/RAG architectures.
• Proficiency with commercial and open-source models (GPT, Claude, Gemini, LLaMA) and advanced prompt engineering.
• Experience with vector/graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and ETL/airflow orchestration.
• Familiarity with AWS infrastructure (EKS, Fargate, Lambda, EC2) and data services (Athena, Glue, Lake Formation).
• Knowledge of IaC (Terraform, Puppet, Docker) and SDLC/DevSecOps practices.
• Exposure to automated AI and web testing (Playwright, Selenium) and BI tools (QuickSight, Tableau).

Skills

Senior engineer

AI initiative leadership

Tools

LangChain

LlamaIndex

Amazon Bedrock

Agentic AI

MCP

Graph/RAG architectures

GPT

Claude

Gemini

LLaMA

Weaviate

Milvus

PGVector

Neo4J

Neptune

Airflow

DAGs

AWS

EKS

Fargate

Lambda

EC2

ELB

GLB

NLB

Athena

Glue

Lake Formation

Terraform

Puppet

Docker

Ragas

Playwright

Zephyr

Selenium

QuickSight

Tableau

SDLC

DevSecOps

Job description

• 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).
• 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.