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TH
The Global Talent Co

AI Engineer

LocationColombia
Work moderemote
Typefull-time
DepartmentAdmin & Support Functions
Company size51+ people
First seen1w ago
Last seen1d ago
AI ENGINEER (LLMs & Generative AI) – Full-Stack / Product-Focused
The role:
You will join a dynamic team focused on building and scaling AI-powered products. This role is centered around designing, developing, and deploying AI-driven features within real-world applications, not just experimenting with models.
We are looking for a strong software engineer with hands-on experience integrating LLMs into production systems, working across backend services, APIs, and AI workflows.
You will play a key role in shipping AI-powered functionality using technologies such as OpenAI GPT-4, Anthropic Claude, Google Gemini, and open-source models like Llama, while staying at the forefront of generative AI advancements.
Position: AI Engineer (Full-Time | Remote)
Seeking a talented AI Engineer to drive the development, integration, and deployment of AI solutions into production environments. The ideal candidate has strong software engineering fundamentals, experience working with LLMs and RAG systems, and thrives in building scalable, production-ready systems.
Responsibilities:
•
Design, build, and deploy AI-powered features within production-grade applications.
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Develop backend services and APIs that integrate LLMs into real-world products.
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Build and optimize LLM-based workflows, including prompt engineering, tool usage, RAG systems, and agent frameworks.
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Own end-to-end delivery of AI features, from ideation to deployment and monitoring.
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Collaborate with software engineers, data scientists, and product teams to integrate AI capabilities into scalable systems.
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Work with large codebases and contribute to system architecture and technical decisions.
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Evaluate and improve LLM performance using testing frameworks, metrics, and iteration.
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Collect, preprocess, and manage data required for AI-powered features (not heavy model training).
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Stay up to date with advancements in generative AI and apply them to product development.
Requirements:
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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4-5 years of experience as a Software Engineer, AI Engineer, or similar (product-focused) role.
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Located in COLOMBIA (only).
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B2+ or C1 English Level.
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Strong software engineering fundamentals (data structures, system design, clean code).
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Proficiency in Python and experience building backend systems (APIs, services, integrations).
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Hands-on experience integrating LLMs (OpenAI GPT-4, Anthropic Claude, Gemini, Llama) into applications.
👉 Claude experience is a strong plus.
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Experience building RAG systems, agent frameworks, or LLM-based applications.
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Experience working in production environments and with large codebases.
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Experience shipping features or products end-to-end (from development to deployment).
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Familiarity with SQL (Postgres) and data handling.
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Strong problem-solving and analytical skills.
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Excellent communication skills and ability to work in a multidisciplinary environment.
Nice to Have:
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Experience deploying applications or AI services on cloud platforms (AWS, GCP, Azure).
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Experience with modern backend or full-stack frameworks.
•
Familiarity with big data tools (Hadoop, Spark).
•
Contributions to AI-related projects (open-source or applied).
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Experience building AI features in industries such as finance, healthcare, retail, or tech.
Important Note:
This role is not focused on academic research or purely statistical modeling.
We are specifically looking for engineers who build and ship AI-powered products into production environments, working on real-world applications and scalable systems.
About us:
We are focused on building and optimizing AI-powered platforms, bringing together cutting-edge technologies and strong engineering practices. The team is dedicated to delivering scalable, high-impact AI solutions that solve real-world problems.
If you’re passionate about building AI products and want to make a tangible impact, this is an opportunity to help shape the future of applied AI. 🚀
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