7+ years of strong software engineering experience building scalable, maintainable, production-grade systems.
Qualifications Hands‐on experience building applications or platforms using Generative AI, or agentic design patterns.
Strong understanding of agent orchestration, tool use, prompt and context management, memory patterns, evaluation, and AI system design trade‐offs.
Experience taking AI‐enabled solutions from prototype to production with sound engineering discipline across reliability, observability, latency, cost, security, and governance.
Practical experience using AI coding and engineering assistants to improve productivity across the software development lifecycle.
Experience improving PDLC and SDLC efficiency through automation, CI/CD, automated testing, and AI-assisted engineering workflows.
Strong programming skills in one or more backend languages such as Java and Python, with the ability to write high‐quality, well‐tested, production‐ready code.
Experience building services in cloud‐native environments using Kubernetes and managed cloud services on AWS, Azure.
Good understanding of APIs, distributed systems, event‐driven architectures, data pipelines, and enterprise integration patterns.
Experience with modern AI frameworks, SDKs, and tools for building AI applications, agent workflows, and developer productivity solutions.
Strong problem‐solving and analytical skills,



with the ability to break down ambiguity and turn ideas into practical, scalable solutions.
Demonstrated innovative mindset with curiosity to learn new technologies, evaluate emerging tools, and apply them where they create value.
Strong sense of ownership and accountability, with the ability to independently drive initiatives from concept to delivery.
Excellent collaboration and communication skills, with experience working across engineering, product, AI, and business stakeholders.
Experience with modern front‐end frameworks such as React and/or Next.js is beneficial.
Familiarity with inference APIs, embeddings, retrieval‐augmented generation, model evaluation, and AI safety controls is preferred.
Must-Have Strong proficiency in Java, Python, or similar backend languages.
Hands‐on experience building agentic or AI-enabled applications.
Strong understanding of APIs, distributed systems, event‐driven architectures, and enterprise integration patterns.
Experience with React or Next.js.
Experience with cloud-native development using Kubernetes and managed cloud platforms such as AWS or Azure.
Experience with CI/CD, automation, and engineering productivity tooling.
Familiarity with modern AI frameworks, SDKs, and tools for building intelligent applications and agent workflows.
Advanced English
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📌 Senior Software Engineers (Jalisco)
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