Ai Engineer

Overview

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.

Requirements

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.

Benefits

Monetary compensation

Year-end Bonus

IMSS, AFORE, INFONAVIT

Major Medical Expenses Insurance

Minor Medical Expenses Insurance

Life Insurance

Funeral Expenses Insurance

Preferential rates for car insurance

TDU Membership

Holidays and Vacations

Sick days

Bereavement days

Civil Marriage days

Maternity & Paternity leave

English and Spanish classes

Performance Management Framework

Certifications

TALISIS Agreement : Discounts at ADVENIO, Harmon Hall, U-ERRE, UNID

Taquitos Rewards

Amazon Gift Card on your Birthday

Work-from-home Bonus

Laptop Policy

Equal employment

Enroute is committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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