AI Engineer

Talento; Colombia; On-site; COP 60,000,000 - 120,000,000; Full time

Job summary

Talento in Colombia seeks an Applied AI Engineer to turn business questions into reliable insights using structured data. You will build apps powered by LLMs and AI Agents, design semantic models, KPIs, and metrics, and create Text-to-SQL solutions over enterprise data.

Requirements include strong Python and SQL, knowledge of data modeling and data warehousing, and experience with business metrics and semantic layers.

Qualifications

• Strong experience with Python and SQL.
• Solid understanding of Data Modeling and Data Warehousing concepts.
• Experience working with business metrics, KPIs, and semantic layers.
• Hands-on experience developing solutions with LLMs and AI Agents.
• Ability to translate business requirements into AI and data-driven solutions.

Responsibilities

• Develop applications powered by LLMs and AI Agents.
• Design and maintain semantic models, business metrics, and KPIs.
• Build Text-to-SQL solutions over enterprise data.
• Define business rules, dimensions, relationships, and calculations.
• Work with structured data, SQL, and analytics platforms.
• Create conversational AI experiences for business users.

Skills

Python

SQL

Data Modeling

LLMs and AI Agents

Business Metrics/KPIs

Tools

Snowflake

Semantic Layer

MetricFlow

LookML

Cube

Job description

We are looking for an Applied AI Engineer with a strong background in AI, SQL, and Data Modeling to build intelligent solutions that transform business questions into reliable insights using structured data.

Key Responsibilities

• Develop applications powered by LLMs and AI Agents.
• Design and maintain semantic models, business metrics, and KPIs.
• Build Text-to-SQL solutions over enterprise data.
• Define business rules, dimensions, relationships, and calculations.
• Work with structured data, SQL, and analytics platforms.
• Create conversational AI experiences for business users.

Requirements

• Strong experience with Python and SQL.
• Solid understanding of Data Modeling and Data Warehousing concepts.
• Experience working with business metrics, KPIs, and semantic layers.
• Hands-on experience developing solutions with LLMs and AI Agents.
• Ability to translate business requirements into AI and data-driven solutions.

Nice to Have

• Snowflake, Cortex Analyst, or Semantic Views.
• Semantic Layer, MetricFlow, LookML, Cube, or similar technologies.

If you're passionate about creating AI-powered products that solve real business challenges, we'd love to hear from you.