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: allison.salazar@crhit.com

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