Job description
7+ years of strong software engineering experience building scalable, maintainable, production-grade systems
- 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 Hybrid- Guadalajara