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AI Engineer (Applied AI & Backend | LLMs / RAG) at DaCodes. 🌍 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. Company Location: Colombia.