Agentforce Engineer

Possible 3 Month CTH Role Name:

Agentforce Engineer Work Site:

Toronto, CA Remote Start Date:

Immediate Availability

Role Overview

We are seeking an experienced

Data & AI Engineer / Agentforce Engineer

to support ongoing Employee Success initiatives. The engineer will work closely with engineering and business stakeholders to design, develop, test, and maintain data-driven and AI-powered solutions. The ideal candidate should be comfortable working independently, understanding business requirements, troubleshooting complex issues, and delivering end-to-end technical solutions across development, data engineering, AI/Agentforce, and

Model Context Protocol (MCP)

integrations. Key Responsibilities

Design, develop, and maintain solutions using

Apex, Flow, and Agentforce .

Develop and enhance

AI agent workflows, actions, and integrations .

Work with

Data Cloud

for data modeling, querying, and integration.

Develop and maintain integrations between

Slack, APIs, and external services .

Use

Snowflake and SQL

for data querying, validation, transformation, and analysis.

Troubleshoot application, integration, data, and AI-agent issues across environments.

Develop unit tests and maintain appropriate Apex test coverage.

Support code reviews, deployment, QA/UAT validation, and production releases.

Collaborate with engineering, product, and business stakeholders to translate requirements into technical solutions.

Document technical implementations and provide knowledge transfer as required.

Independently own assigned features and technical issues from analysis through production support.

Required Skills

Solid





Python

development experience, including the ability to develop

MCPs .

Experience with

data serialization and validation packages in Python .

Experience with

networking and transport layers in Python .

Experience with

Data Cloud .

Experience with

Agentforce / AI solutions .

Strong

SQL

skills.

Hands-on experience with

Snowflake .

Experience with

REST APIs and system integrations .

Experience with Git-based development and deployment processes.

Strong debugging and problem-solving capabilities.

Ability to work independently with client engineering and business stakeholders.

Good to Have

Apex and Flow

experience.

Salesforce development experience.

Preferred Skills

Experience with

Slack integrations / Slack APIs .

Strong Python development experience.

Experience building

AI/LLM-powered applications or integrations .

Experience with

MCP or similar AI integration frameworks .

Understanding of data engineering and data modeling concepts.

Experience working in

Agile software development environments .

Candidate Profile

The ideal candidate is a hands-on engineer with experience across

software development, data engineering, AI/Agentforce solutions, and MCP integrations . The candidate should have experience building or supporting

MCP-based services

and integrating AI agents with enterprise data and systems. They should be capable of independently owning technical requirements from initial analysis through implementation, testing, deployment, and production support while collaborating directly with engineering and business stakeholders.

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📌 Agentforce Engineer (Winnipeg)
🏢 Querentia
📍 Winnipeg