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CRH Talento en IT

Consultores expertos en el desarrollo de empresas, especializados en la búsqueda y selección de perfiles IT.

Software Engineer – AI, Artificial Intelligence

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 11-50Since 2017H1B No SponsorCompany SiteLinkedIn

Location

Mexico

Posted

126 days ago

Salary

$85K / month

Seniority

Senior

Bachelor Degree5 yrs expSpanishAssemblyDockerJavaPython

Job Description

Software Engineer – AI, Artificial Intelligence

CRH Talento en IT

• Design and Deploy Production AI Agentic Systems: Architect, build, and deploy autonomous AI agents using state-of-the-art frameworks like ADK (Agentic Design Kit) and LangGraph that leverage LLMs to automate code reviews, quality analysis, and development workflow optimization at scale • Architect Advanced Context Engineering Solutions: Design sophisticated context engineering strategies including dynamic context assembly, agentic retrieval patterns, memory systems (episodic and working memory), and multi-hop reasoning pipelines for complex code analysis tasks • Develop AI-Powered Automation Tools: Build intelligent backend services in Python and Java that leverage GenAI to detect anti-patterns, suggest improvements, and standardize development workflows • Establish AI-Enhanced Engineering Excellence: Define and implement coding standards and best practices specifically for GenAI systems, including LLM evaluation metrics, guardrails, and responsible AI principles • Lead AI-Powered Code Reviews: Conduct comprehensive code reviews using state-of-the-art GenAI tools and agents, providing architectural guidance on performance, security, and AI system design

Job Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, Machine Learning, or related technical field
  • 5+ years of professional software engineering experience with strong proficiency in Python and experience with Java
  • 2+ years of hands-on production GenAI experience, including:
  • Building and deploying AI Agentic systems or autonomous agents in production environments
  • Architecting context engineering solutions including dynamic context assembly, memory systems, and agentic retrieval patterns
  • Designing multi-agent orchestration and multi-hop reasoning pipelines
  • Implementing agent planning strategies, tool orchestration, and human-in-the-loop patterns
  • Prompt engineering, function calling, and tool-use implementations
  • Proven track record of shipping production-grade AI/ML systems that delivered measurable business value
  • Strong experience with agentic frameworks, particularly ADK (Agentic Design Kit) and LangGraph, or similar modern agent orchestration tools
  • Strong understanding of software design patterns, SOLID principles, and clean architecture applied to AI systems
  • Experience with CI/CD pipelines, containerization (Docker), and cloud infrastructure

Benefits

  • Christmas Bonus
  • Vacation Bonus
  • Flexible Compensation
  • Food Vouchers
  • Saving Fund
  • Work Tools
  • Employee Profit Sharing
  • Performance Bonus
  • Birthday Leave
  • Major Medical Insurance
  • Life Insurance
  • Retirement Plan
  • Company Cafeteria Service
  • Reliable Transportation

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