Closed listing
Agentforce Engineer
- Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
We are looking for an experienced Data & AI Engineer to support ongoing Employee Success initiatives within the environment. The engineer will work closely with engineering and business stakeholders to design, develop, test, and maintain data-driven and AI-powered solutions.
The role requires someone who can work independently, understand business requirements, troubleshoot complex issues, and deliver end-to-end technical solutions.
**Key Responsibilities**
The ideal candidate is a hands-on engineer who is comfortable working across development, data engineering, AI/Agentforce solutions, and Model Context Protocol (MCP) integrations. The individual should have experience building or supporting MCP-based services and integrating AI agents with enterprise data and systems.
The candidate should be able to independently own technical requirements from initial analysis through implementation, testing, deployment, and production support while collaborating directly with engineering and business stakeholders.
The role requires someone who can work independently, understand business requirements, troubleshoot complex issues, and deliver end-to-end technical solutions.
**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.
- Work with 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 directly with engineering, product, and business stakeholders to understand requirements and translate them into technical solutions.
- Document technical implementations and provide knowledge transfer when required.
- Work independently and take ownership of assigned features and technical issues.
- Required Skills**
- Strong experience with Python to be able to develop MCPs
- Experience Data Serialization & Validation packages in Python
- Experience with Networking & Transport Layers in Python
- Apex and Flow good to have
- Experience with Data Cloud
- Experience with Agentforce / AI solutions
- Strong SQL skills
- Experience working with Snowflake
- REST API and system integration experience
- Experience with Git-based development and deployment processes
- Strong debugging and problem-solving skills
- Ability to work independently with client engineering and business stakeholders
- Experience with Slack integrations / Slack APIs
- 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
The ideal candidate is a hands-on engineer who is comfortable working across development, data engineering, AI/Agentforce solutions, and Model Context Protocol (MCP) integrations. The individual should have experience building or supporting MCP-based services and integrating AI agents with enterprise data and systems.
The candidate should be able to independently own technical requirements from initial analysis through implementation, testing, deployment, and production support while collaborating directly with engineering and business stakeholders.
More about this job
Responsibilities
Design, develop, and maintain AI-powered solutions and data-driven workflows using Agentforce, Apex, and Flow. Collaborate with stakeholders to integrate AI agents with enterprise data systems and external services like Slack.
Requirements
Requires strong proficiency in Python, SQL, and experience with AI/LLM-powered applications and Model Context Protocol (MCP). Candidates should have experience with Snowflake, Data Cloud, and Git-based deployment processes.
Skills
- Python
- Apex
- Flow
- Agentforce
- Data Cloud
- SQL
- Snowflake
- REST API
- Git
- Model Context Protocol
- Slack API
- AI Agent Workflows
- Data Modeling
- System Integration
- Debugging
- Problem Solving
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
- Consulting
Keywords
- Agentforce
- AI Engineer
- Data Engineer
- Python
- Apex
- Salesforce Flow
- Data Cloud
- Snowflake
- SQL
- REST API
- Model Context Protocol
- MCP
- LLM
- Slack API
- Git
- Data Modeling
- AI Agents
- System Integration
- Agile
- QA/UAT
- Unit Testing
- Data Serialization
- Networking
- Transport Layers
- IT Consulting
- Software Development