Position: Software Engineer AI Location: Remote Work
Shift: Monday through Friday 09:00 am to 06:00 pm Benefits: ·
Christmas Bonus · Vacation Bonus · Versátil 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 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 Key
Responsabilities: · 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 Contact Details: [email protected] This is a
high-visibility opportunity where your software engineering
expertise will directly impact our Customer’s engineering user
experiences.

📌 Software Engineer AI - Artificial Intelligence (Ciudad de México)
🏢 CRH Talento de IT
📍 Ciudad de México