Global Talent Co. logo

AI Engineer

Job Overview

Location

Colombia

Job Type

Full-time

Category

Software Engineering

Date Posted

April 24, 2026

Full Job Description

đź“‹ Description

  • • AI Engineer focused on building and scaling AI-powered products by designing, developing, and deploying AI-driven features within real-world applications, not just experimenting with models.
  • • Day-to-day responsibilities include designing and deploying AI-powered features, developing backend services and APIs that integrate LLMs, building and optimizing LLM-based workflows (prompt engineering, RAG, agent frameworks), owning end-to-end delivery of AI features, collaborating with cross-functional teams, contributing to system architecture, evaluating LLM performance, managing data for AI features, and staying current with generative AI advancements.
  • • Join a dynamic team at Global Talent Co. dedicated to building and optimizing AI-powered platforms using cutting-edge technologies and strong engineering practices to deliver scalable, high-impact AI solutions that solve real-world problems.
  • • Opportunity to ship AI-powered functionality using LLMs like GPT-4, Claude, Gemini, and Llama, work on production systems, influence technical decisions, and grow expertise in applied AI while making a tangible impact on product development.

Skills & Technologies

Python
PostgreSQL
AWS
Azure
GCP
Data Science
Remote
Degree Required

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About Global Talent Co.

Global Talent Co. is a Singapore-based recruitment and talent acquisition company that connects employers across Asia-Pacific with mid- to senior-level professionals. Founded in 2020, it operates a distributed model combining local market knowledge with technology-driven sourcing, screening and matching. Services include retained and contingency search, interim management, and talent advisory across finance, technology, consumer, healthcare and industrial sectors. The firm serves multinational corporations, growth-stage companies and private equity portfolio businesses, emphasizing speed, cultural fit and long-term performance outcomes.

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