Engineer with experience in the design, creation, and support of AI agents. The role focuses on assisting end users in building and configuring agents using modern AI frameworks and tools. The candidate should have a solid background in Python development and a good understanding of core agent components such as context, models, memory, and tools.

Knowledge in AWS bedrock This role involves designing and implementing AI agents, integrating them with APIs and enterprise systems, and troubleshooting issues across different layers of the agent architecture.

Experience with agent frameworks such as CrewAI, LangGraph, n8n, or similar technologies is desirable. The position is oriented toward agent creation, configuration, and support, rather than platform engineering or core platform development. Strong collaboration and problem-solving skills are important to help users successfully build and deploy AI agents.

Skills:• Solid understanding of LLMs, context engineering, prompt engineering, hallucinations, model limitations, and responsible AI practices.





- Hands-on experience with agent frameworks such as CrewAI, LangGraph, n8n, or similar technologies.
- Proficiency in Python for AI agent development, integration, and troubleshooting.
- Experience integrating REST and SOAP APIs, including authentication, request and response handling, error management, and testing.
- Working knowledge of HTML, JavaScript, and JSON for integration, configuration, and troubleshooting.
- Practical knowledge of AWS Bedrock, including model access, configuration, security, monitoring, and cost considerations.
- Structured troubleshooting across model, prompt, context, memory, tool, API, data, permission, and infrastructure layers, including log analysis, root-cause analysis, incident documentation, and escalation.
- Knowledge of SOPs, incident and change management, SLAs, support KPIs, GDPR principles (nice to have)

📌 DevOps Engineer OpenCloud & OnPrem Pr (México)
🏢 SOFTTEK
📍 México