Agentforce Engineer

Role Name:- Agentforce EngineerWork site: San Francisco, CA (Remote)Duration: Long TermJob Description:Data & AI Engineer – Job DescriptionRole OverviewWe 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 ResponsibilitiesDesign, 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 SkillsStrong experience **with Python** - to be able to develop MCPsExperience Data Serialization & Validation packages in PythonExperience with Networking & Transport Layers in PythonApex and Flow** good to haveExperience with * Data Cloud**Experience with **Agentforce / AI solutions**Strong **SQL** skillsExperience working with **Snowflake**REST API and system integration experienceExperience with Git-based development and deployment processesStrong debugging and problem-solving skillsAbility to work independently with client engineering and business stakeholdersPreferred SkillsExperience with **Slack integrations / Slack APIsPython development experienceExperience building AI/LLM-powered applications or integrationsExperience with MCP or similar AI integration frameworksUnderstanding of data engineering and data modeling conceptsExperience working in Agile software development environmentsCandidate ProfileThe 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.