[Hiring] Senior Agentic AI Engineer @CodeRoad

Role Description

As a Senior Agentic AI Developer, you will serve as the technical backbone of our AI engineering initiatives, designing, building, and deploying production-ready AI agents and agentic workflows. You will architect autonomous systems leveraging cutting-edge LLM frameworks, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) to seamlessly connect AI agents with complex enterprise infrastructures and data ecosystems. This role is critical to transforming business requirements into scalable, secure, and highly reliable agentic solutions on AWS. You will anchor technical execution and architectural strategy, establishing robust evaluation, observability, and human-in-the-loop guardrails while guiding nearshore development teams through the entire lifecycle of production AI deployment.

Qualifications

• 5+ years in professional software engineering
• 2–3+ years dedicated to LLM application engineering and agentic AI systems

Requirements

• Advanced Python
• AWS (Amazon Bedrock)
• LangGraph / CrewAI
• Vector DBs (Pinecone, Weaviate)
• RAG architecture
• MCP integration
• Hands-on experience with LangSmith, Langtrace, or AgentOps
• Evaluation frameworks for LLM groundedness and accuracy
• Strong ownership mindset
• Technical leadership
• Ability to mentor developers and articulate complex architecture to non-technical stakeholders
• Advanced English (written and spoken) is mandatory

Benefits

• 100% Remote: Work from anywhere in Latin America
• Holidays Off: Observe local national holidays
• Paid Time Off: Generous PTO policies for rest and personal time
• Health Insurance Assistance: Financial support for your healthcare coverage
• Competitive USD Compensation: Earn top-tier market rates pegged to the US Dollar
• Growth Opportunities: Continuous career evolution within high-impact global projects