AI Engineer (RAG & Agents)

Work at DaCodes!
We are a firm of experts in high-impact software and digital transformation.
For 10 years, we have built solutions focused on technology and innovation thanks to our team of 220+ talented #DaCoders, including developers, architects, UX/UI designers, PMs, QA testers, and more. Our team collaborates on projects with clients across LATAM and the United States, delivering outstanding results.

At DaCodes, you’ll have the opportunity to accelerate your professional growth, work on diverse projects across different industries, and contribute to the design, implementation, and optimization of cloud infrastructures.

Our DaCoders have a major impact on the success of our business and our clients’ businesses. You will be the expert contributing to our projects, 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.

This role requires solid full-stack engineering experience and practical mastery of AI-assisted development tools (Claude Code, Cursor, Lovable, Kiro). The engineer will be responsible for delivering 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.
🔧 Key Responsibilities

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 only the necessary data preparation for AI workloads (e.g., text cleaning, normalization, embedding generation, vector data loading).
• Manage vector databases at a practical level: 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 unit, integration, and end-to-end tests using AI-assisted tools (Claude Code, Copilot).
  
  🧠 Core Technical Skills
• Deep understanding of RAG: chunking strategies, embeddings, retrieval patterns, evaluation.
• Vector Databases: Pinecone, Chroma, Qdrant, or OpenSearch.
• AI Agents: LangGraph, CrewAI, Strands Agents.
• Security & Guardrails: PII handling, safe prompting, compliance workflows.
• AWS AI Services: Bedrock, Comprehend, Amazon Q.
• Node.js or Python (3+ years).
• React / Next.js (3+ years).
• Claude Code (mandatory); plus Cursor, Copilot, Lovable, Kiro.
• API integrations, event-driven architectures, and microservices.

🎓 Background & Experience

• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• 4–7 years as a Full-Stack Engineer.
• 1–3 years building GenAI solutions (RAG, agents, vector databases).
• Demonstrated experience using AI-assisted development tools.

Benefits

Benefits

🚀 Integración a marcas globales y startups disruptivas.

🏡 Trabajo remoto/Home office.

📍 En caso de requerir modalidad híbrida o presencial, serás informado desde la primera sesión.

⏳ Horario ajustado a la célula de trabajo/proyecto asignado.

📅 Trabajo de lunes a viernes.

⚖️ Beneficios legales (aplican para México).

🎉 Día off en tu cumpleaños.

🏥 Seguro de gastos médicos mayores (aplica para México).

🛡️ Seguro de vida (aplica para México).

🌎 Equipos de trabajo multiculturales.

🎓 Acceso a cursos y certificaciones.

📢 Meetups con invitados especiales del área de IT.

📡 Eventos virtuales de integración y grupos de interés.

📢 Clases de inglés.

🏆 Oportunidades dentro de nuestras diferentes líneas de negocio.

🏅 Orgullosamente certificados como Great Place to Work