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: allison.salazar@crhit.com This is a high-visibility opportunity where your software engineering expertise will directly impact our Customer’s engineering user experiences.