Sr. AI Automations Developer
E
EngineFinTech
Latin America onlyContractSenior
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- PythonArtificial IntelligenceJavascriptMachine LearningSalesforceJiraLLM
Requirements
- 3+ years of experience in automation engineering, process automation, or a related technical role.
- Proficiency with automation platforms (Workato, Zapier, Make, or similar).
- Proficiency with scripting languages (Python, JavaScript).
- Proficiency with API integrations.
- Experience with AI/ML tools and LLM-based automation (highly valued).
- Strong grasp of Salesforce data model, APIs, and integration patterns.
- Ability to configure actions, connect data sources, and troubleshoot agent workflows in Salesforce.
- Familiarity with Salesforce, JIRA, and common business systems (HRIS, ERP, finance tools) is a plus.
- Strong analytical mindset with the ability to break down complex processes and design scalable, elegant solutions.
- Excellent communication skills with the ability to partner with non-technical stakeholders and translate business needs into technical requirements.
- 1+ year(s) of Agentforce (or equivalent agent building experience) preferred.
Responsibilities
- Design, develop, and deploy automation workflows that reduce manual effort and improve accuracy across back-office functions.
- Apply artificial intelligence, machine learning, and modern automation tools to solve complex operational challenges and unlock new efficiencies.
- Collaborate with Client Operations, Finance, People, and other G&A teams to identify automation opportunities, gather requirements, and deliver solutions that meet business needs.
- Build and maintain integrations between platforms (Salesforce, JIRA, HRIS, ERP, etc.) to enable seamless data flow and process automation.
- Develop robust, well-documented solutions with proper error handling, monitoring, and testing to ensure long-term stability.
- Monitor automation performance, identify optimization opportunities, and iterate on solutions based on user feedback and data.
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