Artificial Intelligence Engineer

Pacer Group; Toronto; Hybrid; CAD 96,000 - 103,000; Part time

Job summary

Pacer Group in Toronto, Ontario, is seeking a contract software engineer with extensive JVM experience to deliver production‑grade AI tooling. The role combines in‑office collaboration three days per week in a hybrid setup and hands‑on development across Java, Kotlin/Scala, and GenAI patterns.

The ideal candidate will design scalable JVM services, leverage Neo4j/MongoDB, Docker + Kubernetes, and build output rendering pipelines (Word, PowerPoint, PDFs) with reliable, testable rendering.

Qualifications

• 6-10 years building production software with hands-on AI delivery.
• Strong JVM engineering with Git workflows, code reviews and tests.
• Experience with GenAI patterns, tool calls, and retrieval-augmented workflows.
• Graph/Document databases (Neo4j, Cypher, MongoDB Atlas) and vector search.
• Cloud, Docker/Kubernetes, CI/CD, observability and quality gates in prod.

Skills

Java

Kotlin

Scala

Git workflows

Automated testing

Structured logging

GenAI patterns

Neo4j

Cypher

Docker

Kubernetes

Azure

Node.js

Apache POI

PDFBox

Tools

Docker

Kubernetes

Neo4j

Cypher

Azure

Git

Apache POI

PDFBox

Node.js

Job description

Location: Toronto, ON

Work Arrangement: Hybrid: 3 days a week in office

Employment Type: Contract

Duration: 06-12 Months

Pay Rate: CAD 70-75/hour Incorporated

Domain: BFSI

Application Deadline: Sept. 30th, 2026

SKILLS REQUIRED:

• 6-10 years building production software, including recent hands-on delivery of AI or large-language-model systems beyond prototypes.
• Strong JVM engineering (Java; Kotlin or Scala a plus) with solid practices: Git workflows, code review, automated testing, structured logging, and clean design.
• Hands-on experience with modern GenAI patterns: prompt engineering, structured or JSON outputs, tool and function calling, retrieval-augmented generation, and agentic workflows.
• Experience designing and querying a graph or document database (Neo4j and Cypher, or MongoDB Atlas) and using vector search and embeddings for semantic retrieval.
• Platform and reliability: a major cloud (Azure preferred), containerized deployment with Docker and Kubernetes, CI/CD, observability, and automated quality gates on a service you ran in production.
• Experience with the Model Context Protocol (MCP), building tool or resource servers and clients, and with agent-to-agent (A2A) interoperability.
• Deliverable generation and rendering: producing Word, PowerPoint, PDF, or Excel output programmatically with libraries such as Apache POI, PDFBox, or pptxgenjs, making that output deterministic and testable, and moving comfortably between a JVM service and a Node.js rendering toolchain.

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.