AI Engineer
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Job Description
Agentic AI Engineer building production-grade agents and RAG applications for CodeRoad. Deploying and monitoring LLM solutions for US client teams from Latin America.
Responsibilities:
- Develop production-grade AI agents, state management mechanisms, and multi-agent workflows
- Connect AI agents to enterprise tools, APIs, and external platforms via Model Context Protocol and structured function calling
- Implement and maintain high-performance RAG pipelines using vector databases, semantic search, chunking, and grounding strategies
- Execute automated evaluations, regression testing, task-success metrics, and safety guardrails
- Defend against prompt injection and sensitive-data exposure
- Deploy LLM applications on AWS using Amazon Bedrock
- Use observability platforms such as LangSmith, Langtrace, or AgentOps to troubleshoot failures and optimize performance
- Write clean, maintainable, and testable Python code
- Maintain comprehensive technical documentation
- Collaborate with senior engineers, MLOps, and product teams
Requirements:
- 3+ years of professional software development experience
- Direct, hands-on experience building LLM-based, RAG, or agentic AI applications
- Mastery of advanced Python
- Mastery of AWS, including Amazon Bedrock
- Experience with agentic frameworks such as LangGraph, CrewAI, or ADK
- Experience with vector databases such as Pinecone or Weaviate
- Knowledge of Model Context Protocol (MCP)
- Hands-on experience testing, evaluating, and monitoring LLM execution using LangSmith, Langtrace, or AgentOps
- Strong ownership mindset and analytical troubleshooting capabilities
- Advanced English skills, written and spoken, mandatory
- Collaborative approach to delivering high-impact software within cross-functional teams
Benefits:
- Agentic AI tools and training
- Coursera Enterprise
- Studio practice labs
- High-touch onboarding
- Transparent leadership communication
- Community recognition
- Psychological safety
- Holidays off
- Paid time off
- Health insurance assistance program
- Opportunity to work with high-growth US-based companies and cutting-edge tech stacks
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