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Python Software Engineer

Tecnología
Onhires
Estado De México, MéxicoHace 1 mesesHasta 10/6/2026

Descripción del puesto

Team SummaryOur team is focused on creating a seamless and personalized user experience through agentic AI workflows and improved knowledge experiences.

Our work helps customers get more relevant support and information in a way that feels cohesive and effective.

We are a highly independent and self-sufficient team with committed delivery timelines, and we value transparency, effective communication, and continuous improvement.Job SummaryWe are looking for an experienced Python Software Engineer with experience in building robust services and automation capabilities.

In this role, you will work closely with other engineering teams to develop AI-driven services and workflow automation as part of a broader product and platform ecosystem.Responsibilities and DutiesDevelop new features and improve existing ones for AI agentic workflowsWrite unit tests, integration tests, and participate in code reviewsEvaluate industry standards and best practices to drive architectural and process enhancementsCollaborate with other engineering teams to ensure the highest quality of solutionQualifications and Skills5+ years of commercial software development experienceStrong proficiency in asynchronous Python (asyncio, aiohttp)Hands-on experience with AWS services (Lambda, IAM, S3, SQS/SNS, EC2, ECS)Experience with CI/CD pipelines, continuous delivery, and DevOps practicesProficiency in designing RESTful APIs with best practices for security practice, documentation, versioning, error handling, and data formatsSolid understanding of design patterns, data structures, and software architectureExperience with AI productivity tools (Cursor, CLine, Claude Code, etc.)Excellent communication and collaboration skills, with a focus on working in distributed teamsUpper-intermediate written and verbal EnglishNice to haveProven experience implementing Agentic workflowsFamiliarity with Bedrock AgentCore and Strands SDKFamiliarity with containerization technologies (Docker, Kubernetes)

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