• Work on diverse projects across different industries and contribute to the design, implementation, and optimization of cloud infrastructures.
• Collaborate on projects with clients across LATAM and the United States, delivering outstanding results.
• Accelerate professional growth and have major impact on business success with access to disruptive startups and global brands.

Requirements

Design and implement AI-powered applications and services with a strong focus on **advanced RAG pipelines**, **vector databases**, **AI agents**, **PII/guardrails**, and **deployments on AWS**.
Solid full-stack engineering experience and practical mastery of AI-assisted development tools (Claude Code, Cursor, Lovable, Kiro).
Deliver prototypes, MVPs, and production-ready services that integrate generative models, agents, and light data-preparation flows while maintaining high standards in quality, security, performance, and UX.
**AI Applied (Core of the Role)**
- Design and implement **well-structured RAG pipelines** (chunking, embeddings, retrieval optimization).
- Build and orchestrate **AI agents** using LangGraph, CrewAI, or Strands Agents.
- Implement security workflows: **PII sanitization, guardrails, safety layers, model validations**.
- Integrate generative models through AWS Bedrock, Claude, Amazon Q, OpenAI, or HuggingFace.
**Backend**
- Develop APIs and serverless microservices in **Node.js or Python**.
- Implement business logic, authentication, authorization, and model/service integrations.
- Perform necessary data preparation for AI workloads (e.g., **text cleaning, normalization, embedding generation, vector data loading**).
- Manage vector databases: **Pinecone, Chroma, Qdrant, OpenSearch**.
**Frontend & User Experience**
- Build functional interfaces using **React / Next.js**, leveraging AI-generated components.
- Create lightweight dashboards or visual tools for agents, RAG flows, and internal applications.
- Rapidly prototype interfaces using Lovable, Figma Dev Mode, or similar tools.
**Cloud & DevOps**
- Deploy solutions on AWS (Lambda, Amplify, API Gateway, S3, CloudFront, Bedrock).
- Configure monitoring, logging, and metrics to evaluate model behavior and agent performance.
- Automate tests using AI-assisted tools (Claude Code, Copilot).

🔍 ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.

Hard Skills

AI-powered applications
advanced RAG pipelines
vector databases
AI agents
PII sanitization
Node.js
Python
React
Next.js
AWS

Soft Skills

collaboration
communication
problem-solving
adaptability
creativity
attention to detail
time management
critical thinking
teamwork
leadership

AI Engineer – RAG, Agents

AI Engineer

AI Engineer

Senior AI Engineer – RAG, LLMs