Fountain Forward - AI Engineer

AI Engineer is needed in Bogota, Colombia.

Client: Fountain Forward

Location: Bogota, DC, co

Contract: Internship

Job Description

This is a remote position. The AI Engineer will own the design and implementation of the company’s next AI product, building agent-native platforms powered by multi-agent orchestration, Retrieval-Augmented Generation (RAG), and production-grade machine learning pipelines deployed on Databricks.

Requirements

Required Qualifications

Education

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering or a closely related engineering discipline.
• Coursework or demonstrated depth in at least two of: machine learning, data structures and algorithms, databases, cloud computing, MLOps.

Professional Experience

• At least one (1) year of professional experience as a Data Engineer, AI Engineer, ML Engineer or equivalent applied role.
• Verifiable, hands-on experience shipping at least one AI or data product to production (not just notebooks or coursework).
• Experience building or contributing to agent-based systems with tool use, RAG or multi-step reasoning workflows.

Core Technical Requirements

• Advanced Python, including typed code, testing, and packaging.
• Strong SQL and practical experience modeling data on Databricks (Delta Lake, Unity Catalog, Spark).
• Production experience with LangChain and LangGraph, or a clearly equivalent agent-orchestration framework.
• Experience building and deploying machine learning models that are consumed as tools, services or scheduled jobs.
• Comfortable working on a cloud platform (Azure preferred, AWS or GCP acceptable) and with Git-based workflows.

Preferred Qualifications

• Experience designing stateless, explainable scoring or decision engines whose outputs can be audited factor by factor.
• Experience building multi-tenant or multi-entity data frameworks with automatic schema detection and entity-specific business rules.
• Experience with MLflow, Azure Pipelines and Power BI as part of an end-to-end MLOps and reporting stack.
• Experience building full-stack services (e.g. FastAPI or Django backends, Next.js or similar frontends, containerized with Docker) to expose AI capabilities.
• Exposure to NLP techniques (embeddings, classification, topic modeling) and to at least one deep learning framework such as PyTorch, TensorFlow or Keras.
• Published research, conference presentations or open-source contributions related to AI, data science or agent systems.
• Prior internship or early-career recognition (awards, honors, distinguished-student status) that signals consistent high performance.

Soft Skills We Care About

• Strong written and spoken English (B2 or higher). Additional languages are a plus.
• High ownership: comfort moving from a vague brief to a shipped feature with limited supervision.
• Clear, respectful communication with non-technical stakeholders.
• Genuine curiosity about the agentic AI landscape and a habit of tracking how the frontier is moving.

Technical Skills Summary

Must Have

• Languages and data: Python (advanced), SQL, Spark.
• Agent stack: LangChain, LangGraph, RAG patterns, vector stores.
• Data and cloud: Databricks, Azure, Delta Lake, Git, CI/CD pipelines.
• ML and MLOps: scikit-learn or equivalent, MLflow, model deployment.

Strongly Preferred

• Docker, FastAPI or Django, Next.js or a modern frontend framework.
• Power BI or Tableau for governed reporting on top of curated data.
• NLP tooling (NLTK, spaCy, Hugging Face), PyTorch, TensorFlow, Keras.
• Apache Airflow or equivalent orchestrator, DBT for transformations, Linux.
• Experience integrating external APIs (travel, hospitality, maps, enterprise SaaS).

Additional Information

Benefits

• Remote-First Culture: Work from home—or anywhere in the world.
• Flexible Schedule: Flexibility in your daily schedule to maintain a healthy work-life balance.
• Unlimited Paid Time Off: Unlimited vacation policy with two weeks’ notice and manager approval.
• Parental Leave: Support during significant life events for growing families.
• Room to Grow: Opportunities for upward mobility in a fast-growing company.
• Professional Development: Access to training in digital marketing, advertising, and leadership.
• Quarterly Performance Bonuses: Bonuses based on performance and contributions.
• Paid Referral Program: Rewards for referring great talent to join the team.
• Health & Fitness Reimbursement (upon tenure): Support for health insurance or a gym membership.