Important IT company
Technology
SeniorSoftwareEngineers
Neural analysis suggests this role is
optimal for experienced candidates.
“Senior Software Engineers at Important IT company. Skills: Generative AI, Agentic design, Cloud-native development, AI system design. Build scalable systems. Build maintainable systems”
Industry & Context.
Problem-solving skills; Analytical skills; Break down ambiguity
Valid INE, Valid CURP, Valid NSS, Valid RFC
What They're Looking For.
Must Have
7+ years software engineering experience, Hands-on experience building applications or platforms using Generative AI, Experience taking AI-enabled solutions from prototype to production, Experience improving PDLC and SDLC efficiency through automation, Programming skills in Java and Python, Experience building services in cloud-native environments, Good understanding of APIs, Good understanding of distributed systems, Good understanding of event-driven architectures, Good understanding of data pipelines, Good understanding of enterprise integration patterns, Experience with modern AI frameworks, Experience with AI SDKs, Experience with AI tools, Problem-solving and analytical skills, Proficiency in Java, Proficiency in Python, Hands-on experience building agentic or AI-enabled, Experience with React, Experience with Next.js, Experience with cloud-native development using Kubernetes, Experience with managed cloud platforms, Experience with CI/CD, Experience with automation, Experience with engineering productivity, Familiarity with modern AI frameworks, Familiarity with AI SDKs, Familiarity with AI tools, Advanced conversational English, Advanced conversational Spanish
Nice to Have
Experience with React and/or Next.js, Familiarity with inference APIs, Familiarity with embeddings, Familiarity with retrieval-augmented generation, Familiarity with model evaluation, Familiarity with AI safety controls
What You'll Do.
Build scalable systems
Build maintainable systems
Build production-grade systems
Build applications using Generative AI
Build platforms using Generative AI
Build applications using agentic design
Build platforms using agentic design
Manage agent orchestration
Manage prompt management
Manage context management
Manage memory patterns
Manage AI system design trade-offs
Take AI-enabled solutions to production
Ensure reliability of AI solutions
Ensure observability of AI solutions
Ensure low latency of AI solutions
Ensure cost efficiency of AI solutions
Ensure security of AI solutions
Ensure governance of AI solutions
Use AI coding assistants
Use AI engineering assistants
Improve PDLC efficiency
Improve SDLC efficiency
Implement automated testing
Write high-quality code
Write well-tested code
Write production-ready code
Build services in cloud-native environments
Use managed cloud services
Build services on AWS
Build services on Azure
Understand distributed systems
Understand event-driven architectures
Understand data pipelines
Understand enterprise integration patterns
Build AI applications
Build agent workflows
Build developer productivity solutions
Turn ideas into practical solutions
Turn ideas into scalable solutions
Learn new technologies
Evaluate emerging tools
Apply tools where they create value
Drive initiatives from concept to delivery
Collaborate across engineering
Collaborate across product
Collaborate across AI
Collaborate across business
How You'll Work.
Team & Collaboration
Across engineering; Across product; Across AI; Across business stakeholders
Communication Scope
Collaboration; Communication
Process & Methodology
CI/CD, Automation
Full Job Description
Important IT company At the Latin American level, growth requires: Senior Software Engineers * 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 * Experien
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