Enroute

Enroute

Enroute provides comprehensive IT services including QA & Testing, Software Development, 3D Printing, Data Management, and more, delivering tailored solutions for partners.

Internet Software & Services
51-250
Founded 2005

Description

  • Build, optimize, and maintain scalable data pipelines.
  • Work with Databricks and SQL to perform big data queries and transformations.
  • Integrate structured and unstructured datasets into AI workflows.
  • Apply Python libraries such as pandas, scikit-learn, and NumPy for preprocessing and modeling.
  • Design, prompt, and evaluate LLM-based workflows.
  • Leverage LangChain and vector databases for retrieval and orchestration.
  • Develop solutions using low-code and no-code tools such as LangFlow, LangSmith, Flowise, and n8n.
  • Integrate APIs, connectors, and services into end-to-end pipelines.
  • Create reusable components for rapid prototyping and deployment.
  • Work cross-functionally with data engineers, analysts, and product teams.
  • Document workflows, models, and processes to support reproducibility.
  • Ensure solutions are scalable, secure, and aligned with business goals.

Requirements

  • 1–2+ years of professional experience in AI/ML, Data Engineering, or a related role.
  • Proficiency in Python, including pandas, scikit-learn, and NumPy.
  • Experience with LangChain and LLM-based prompting.
  • Knowledge of Databricks and distributed data processing.
  • Hands-on experience with low-code/no-code tools such as LangFlow, LangSmith, Flowise, and n8n.
  • Familiarity with building and debugging data pipelines and APIs.
  • Strong problem-solving skills, curiosity, and the ability to learn quickly.
  • Exposure to cloud platforms such as AWS, GCP, or Azure is preferred.
  • Knowledge of vector databases such as Pinecone, Weaviate, or FAISS is preferred.
  • Experience with CI/CD pipelines and containerization tools such as Docker and GitHub Actions is preferred.
  • Background in data visualization or BI tools is preferred.

Benefits

  • Monetary compensation and a year-end bonus.
  • IMSS, AFORE, and INFONAVIT coverage.
  • Major medical expenses insurance, minor medical expenses insurance, life insurance, and funeral expenses insurance.
  • Holidays, vacations, sick days, bereavement days, and civil marriage days.
  • Maternity and paternity leave.
  • English and Spanish classes.
  • Certifications and access to the TALISIS agreement discounts.
  • Amazon gift card on your birthday and Taquitos Rewards.
  • Work-from-home bonus and laptop policy.
  • Equal employment opportunity and an inclusive, non-discriminatory workplace policy.

Interested in this position?

Apply directly on the company website

Apply Now

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