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AI Engineer at Enroute. We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and try to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge. We ask questions, and we love to learn.. We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it. We care about who you are in the office and as an individual. We get involved, we like to know our people, we want every Enrouter to become part of a great community of highly driven, responsible, respectful, and above all, happy people. We want you to enjoy working with us.. • 1–2+ years of professional experience in AI/ML, Data Engineering, or related roles.. • Proficiency in Python (pandas, scikit-learn, NumPy).. • Experience with LangChain and LLM-based prompting.. • Knowledge of Databricks and distributed data processing.. • Hands-on experience with low-code/no-code tools (LangFlow, LangSmith, Flowise, n8n).. • Familiarity with building and debugging data pipelines and APIs.. • Strong problem-solving skills, curiosity, and ability to learn quickly.. Nice-to-Have:. • Exposure to cloud platforms (AWS, GCP, or Azure).. • Knowledge of vector databases (Pinecone, Weaviate, FAISS).. • Experience with CI/CD pipelines and containerization (Docker, GitHub Actions).. • Background in data visualization or BI tools.. Responsibilities: . • Data Engineering & Pipelines. • Build, optimize, and maintain scalable data pipelines.. • Work with Databricks and SQL for big data queries and transformations.. • Integrate structured/unstructured datasets into AI workflows.. • AI & ML Engineering. • Apply libraries like scikit-learn, pandas, NumPy for preprocessing and modeling.. • Design, prompt, and evaluate LLM-based workflows.. • Leverage frameworks like LangChain and vector databases for retrieval and orchestration.. • Automation & Orchestration. • Develop solutions using low-code and no-code tools such as LangFlow, LangSmith, Flowise, n8n, etc.. • Integrate APIs, connectors, and services into end-to-end pipelines.. • Create reusable components for rapid prototyping and deployment.. • Collaboration & Delivery. • Work cross-functionally with data engineers, analysts, and product teams.. • Document workflows, models, and processes for reproducibility.. • Ensure solutions are scalable, secure, and aligned with business goals.. Company Location: Mexico.