AI ENGINEER (LLMs & Generative AI) You will work with Cadre AI, joining a dynamic team focused on the development and optimization of AI-powered platforms. This role requires strong technical expertise in machine learning, artificial intelligence, and large language models (LLMs), with a proven track record of building scalable AI solutions. You will play a key role in designing, building, and deploying AI systems, working with technologies such as OpenAI GPT-4, Anthropic Claude, Google Gemini, and open-source models like Llama, while staying at the forefront of advancements in generative AI.

Position: AI Engineer (Full-Time | Remote) Responsibilities:

- Design and implement machine learning models and AI algorithms for applications such as OCR, retrieval-augmented generation (RAG), conversational agents, and content generation.
- Develop and optimize prompts for LLMs to improve model outputs and align with business objectives.
- Evaluate and fine‑tune ML models and LLMs using rigorous testing and validation methodologies.
- Collect, preprocess, and manage large datasets to support AI model training and deployment.
- Collaborate with software engineers, data scientists, and product teams to integrate AI models into products and services.
- Stay updated on the latest advancements in generative AI, LLMs, and machine learning frameworks.




- Deploy AI models into production environments and monitor performance, making necessary adjustments over time.

Requirements

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field; 5+ years of experience as an AI/ML Engineer or similar role.
- Hands‑on experience with LLMs (OpenAI GPT-4, Anthropic Claude, Google Gemini, Llama).
- Strong expertise in building RAG systems, agent frameworks, and LLM chains.
- Proficiency in Python and experience with machine learning frameworks such as PyTorch.
- Solid understanding of machine learning algorithms, deep learning, and NLP.
- Experience evaluating ML models and LLMs using metrics and validation methodologies.
- Experience with SQL (Postgres) and data warehouse management (Snowflake preferred); Strong problem‑solving and analytical skills.
- Excellent communication skills and ability to work in a multidisciplinary environment.

Nice to Have

- Experience deploying AI models on cloud platforms (AWS, Google Cloud, Azure).
- Open‑source contributions in AI projects or participation in AI research communities.
- Experience with big data technologies (Hadoop, Spark).
- Domain knowledge in industries such as finance, healthcare, retail, or technology.

📌 AI Engineer (Colombia)
🏢 The Global Talent
📍 Colombia