AI Engineer
Job Description
Enroute is seeking an AI Engineer to join their innovative and socially conscious team. This role combines cutting-edge AI/ML engineering with practical data pipeline development. The position offers a unique opportunity to work with modern AI technologies including LLMs, LangChain, and various data processing tools.
The ideal candidate will have 1-2+ years of experience in AI/ML or Data Engineering, with strong Python skills and familiarity with modern AI frameworks. You'll be responsible for building and maintaining scalable data pipelines, implementing AI solutions, and working with both traditional ML libraries and newer LLM-based approaches.
The company offers a comprehensive benefits package including medical insurance, work-from-home options, and professional development opportunities. Enroute prides itself on maintaining a positive work culture with flexible schedules and strong work-life balance.
As an AI Engineer at Enroute, you'll collaborate with cross-functional teams, contribute to innovative projects, and have the opportunity to work with cutting-edge technologies. The company emphasizes continuous learning and provides resources for professional growth through certifications and training programs.
The position is remote-based in Mexico, offering the flexibility of working from home while being part of a dynamic team. Enroute maintains a strong commitment to equal employment opportunities and fostering an inclusive workplace environment. This role is perfect for someone who is passionate about AI technology and wants to work in a supportive, growth-oriented environment.
Responsibilities For AI Engineer
- 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
- 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
- Develop solutions using low-code and no-code tools
- 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 for reproducibility
- Ensure solutions are scalable, secure, and aligned with business goals
Requirements For AI Engineer
- 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
- Exposure to cloud platforms (AWS, GCP, or Azure) (Nice to have)
- Knowledge of vector databases (Pinecone, Weaviate, FAISS) (Nice to have)
- Experience with CI/CD pipelines and containerization (Docker, GitHub Actions) (Nice to have)
- Background in data visualization or BI tools (Nice to have)
Benefits For AI Engineer
- 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
- Work-from-home Bonus
- Laptop Policy
- Amazon Gift Card on Birthday
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