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AI Engineer Applied AI Backend LLMs RAG

Job Description

🌍 About the Role

We are looking for an AI Engineer with a strong foundation in backend development and applied AI to join our team.

This role is ideal for someone who has already worked with LLMs, RAG, or AI-powered features, and is looking to grow into building more advanced AI systems such as agent-based architectures and production-grade AI platforms.

You will collaborate with experienced engineers and cross-functional teams to design and build intelligent solutions, while continuing to deepen your expertise in modern AI systems.

🚀 What You’ll Do

  • Build and improve AI-powered features using LLMs (e.g. chatbots, copilots, internal tools)
  • Contribute to the development of RAG pipelines (document ingestion, embeddings, retrieval)
  • Develop backend services and APIs to support AI applications
  • Work with vector databases and semantic search systems
  • Collaborate on designing scalable AI solutions (with guidance from senior team members)
  • Support deployment and monitoring of AI systems in production environments
  • Experiment with new AI tools and frameworks to improve development speed and quality

✅ What We’re Looking For (Must-have)

  • 5+ years of software engineering experience
  • Strong backend skills (Python and/or TypeScript)
  • Hands-on experience with LLMs (OpenAI, Anthropic, etc.)
  • Experience building AI-powered features or applications
  • Basic understanding of RAG concepts (embeddings, retrieval, vector search)
  • Experience working with APIs and modern backend architectures
  • Solid problem-solving skills and willingness to learn

⭐ Nice to Have

  • Experience with LangChain, LangGraph, or similar frameworks
  • Exposure to AI agents or multi-step workflows
  • Experience with vector databases (Pinecone, Weaviate, etc.)
  • Familiarity with cloud platforms (AWS, Azure, GCP)
  • Experience deploying applications (Docker, CI/CD)
  • Interest in prompt engineering or AI evaluation techniques

🧠 What This Role Is (and Is Not)

This role is:

✔ A strong engineering role with exposure to AI systems

✔ A growth path toward advanced AI architectures

✔ A hands-on position building real products

This role is not:

✖ A pure research or data science position

✖ A senior AI architect role (yet)

✖ A prompt-only or no-code AI role

🚀 Integration with global brands and disruptive startups.

🏡 Remote work / Home office.

📍 If a hybrid or on-site modality is required, you will be informed from the first session.

⏳ Schedule aligned with your assigned project/team.

📅 Monday to Friday work schedule.

🎉 Day off on your birthday.

🏥 Major medical insurance (applies to Mexico).

🛡️ Life insurance (applies to Mexico).

🌎 Multicultural teams.

🎓 Access to courses and certifications.

📢 Meetups with special guests from the IT industry.

📡 Virtual integration events and interest groups.

📢 English classes.

🏆 Opportunities within our different business lines.

🏅 Proudly certified as a Great Place to Work.

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