Software Engineer AI - Artificial Intelligence

Position: Software Engineer AI 

Location: Remote 

Work Shift: Monday through Friday 09:00 am to 06:00 pm

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

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: Ver el correo electrónico en mx.fitly.work

This is a high-visibility opportunity where your software engineering expertise will directly impact our Customer’s engineering user experiences.