Senior Agentic AI Engineer
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Job Description
Senior Agentic AI Engineer designing production-ready agentic AI systems for CodeRoad’s end-to-end software development services. Building AWS, RAG, MCP, and multi-agent solutions.
Responsibilities:
- Design, develop, and scale autonomous agentic workflows and multi-agent systems using LangGraph, CrewAI, or Agent Development Kit (ADK)
- Own cloud deployment and security architecture of LLM-powered applications on AWS using Amazon Bedrock and scalable microservices
- Connect AI agents to enterprise APIs, data sources, and deterministic tools via Model Context Protocol (MCP) and workflow platforms such as n8n
- Build high-performance RAG pipelines and vector database integrations using Pinecone or Weaviate for contextual retrieval and reranking
- Implement end-to-end evaluation, guardrails, and security measures, including task-success metrics, hallucination checks, and prompt-injection protection
- Lead system observability using LangSmith, Langtrace, or AgentOps
- Mentor engineering PODs in Python and AI development best practices
- Transform business requirements into scalable, secure, and reliable agentic solutions on AWS
- Guide nearshore development teams through the production AI deployment lifecycle
Requirements:
- 5+ years in professional software engineering
- 2–3+ years dedicated to LLM application engineering and agentic AI systems
- Advanced Python
- AWS and Amazon Bedrock
- LangGraph / CrewAI
- Vector databases including Pinecone or Weaviate
- RAG architecture
- MCP integration
- Hands-on experience with LangSmith, Langtrace, or AgentOps
- Experience with evaluation frameworks for LLM groundedness and accuracy
- Strong ownership mindset and 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
- Observe local national holidays
- Generous PTO policies for rest and personal time
- Financial support for healthcare coverage
- Competitive USD compensation pegged to the US Dollar
- Continuous career evolution within high-impact global projects
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