
Senior Agentic AI Developer
Posted Oct 13

Posted Oct 13
This is a fully remote position, open to applicants in Argentina, +4 more countries.
• Create, develop, and manage intelligent workflows and conversational agents on a large scale.
• Design and implement conversational solutions, custom copilots, and agentic workflows utilizing Microsoft Copilot Studio, Power Automate, and tailored Python architectures.
• Integrate AI agents and automated workflows with enterprise data ecosystems, particularly Snowflake and SharePoint.
• Architect and maintain resilient, large-scale cloud infrastructures on Azure.
• Oversee deployments through CI/CD pipelines employing YAML and GitOps methodologies.
• Formulate monitoring, logging, and auditing strategies using Splunk to assess agent performance, latency, and operational bottlenecks.
• Utilize Cursor IDE and GitHub Copilot to expedite coding, enhance code quality, and set team best practices.
• Collaborate with global, cross-functional teams while providing technical guidance.
• Engage in client discussions and propose emerging AI technologies.
• Manage the complete lifecycle of mission-critical AI solutions.
• Over 5 years of experience in Software Engineering, Cloud Engineering, or Automation roles with proven impact at an enterprise level.
• At least 4 years of hands-on experience in Python development, creating robust backend services, APIs, and data integrations.
• More than 2 years of experience in designing and deploying solutions using Microsoft Copilot Studio or Power Virtual Agents and Power Automate.
• Demonstrated experience in building agentic workflows or AI pipelines, incorporating Large Language Models (LLMs) into business operations.
• Strong cloud expertise, particularly in Azure; AWS experience is a plus.
• Experience in integrating applications or agents with Snowflake.
• Proven track record in establishing high-volume logging and monitoring ecosystems, such as Splunk, with multi-region ingestion and automated reporting.
• Daily active user of AI-assisted development tools like GitHub Copilot, Cursor IDE, and ChatGPT.
• Bilingual in English.
• Hands-on experience with Azure DevOps, including pipelines, repos, artifacts, and YAML is desirable.
• Familiarity with contemporary AI agent frameworks such as LangChain, Semantic Kernel, and AutoGen is a plus.
• Experience with SharePoint integrations, reusable modules, and reproducible infrastructure standards is advantageous.
• Fully remote work environment.
• High-impact strategic position offering autonomy and ownership.
• Chance to enhance cloud and automation practices in global settings.
• Collaborative culture among senior engineers with strong technical leadership.
• Clear pathways for growth and access to leadership opportunities.
• Inclusive and challenging atmosphere with genuine growth prospects.
• Competitive compensation.
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