AI Engineer
Job Description
Enroute is seeking an AI Engineer to join their innovative and socially conscious technology team. This role combines cutting-edge AI/ML engineering with practical data pipeline development, offering an exciting opportunity for someone early in their career to make a significant impact.
The position requires expertise in Python, with a focus on machine learning libraries and modern AI tools like LangChain. You'll be working with state-of-the-art technologies including LLMs, vector databases, and low-code/no-code platforms to build scalable AI solutions. The role bridges the gap between traditional data engineering and modern AI applications, making it perfect for someone passionate about both fields.
Enroute offers an exceptional work environment with comprehensive benefits including medical insurance, work-from-home options, and professional development opportunities. They emphasize work-life balance and foster a community of driven, respectful professionals. The company culture promotes continuous learning, with access to language classes and certifications.
The ideal candidate will have 1-2+ years of experience in AI/ML or data engineering, strong problem-solving skills, and a desire to learn and grow. You'll be working on challenging projects while collaborating with cross-functional teams to deliver scalable, secure solutions aligned with business goals. This is an excellent opportunity for someone looking to advance their career in AI engineering while working for a company that values both technological innovation and employee well-being.
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
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
- Certifications
- Work-from-home Bonus
- Laptop Policy
