AI Engineer (contract) Remote but local to Bogotá, Colombia About the Role We are seeking an AI Engineer to lead our AI initiatives by developing and integrating AI/ML solutions across our products and services. This role involves designing, implementing, and maintaining AI models, with a focus on Large Language Models (LLMs) and other advanced AI technologies. You will collaborate with cross-functional teams to identify use cases, provide technical guidance, and ensure scalable, efficient AI solutions aligned with business goals. Key Responsibilities AI Model Development & Optimization: Design, fine-tune, and deploy LLMs and other AI/ML models to address business challenges. Optimize models for efficiency, scalability, and performance. Implement prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning strategies as needed. Software Development & Engineering: Write clean, efficient, and well-documented Python code, utilizing frameworks such as TensorFlow, PyTorch, or Hugging Face. Develop and maintain APIs and integrations for AI models, ensuring robust testing, debugging, and performance tuning. AI Strategy & Guidance: Provide technical leadership on AI best practices. Collaborate with product managers, data engineers, and stakeholders to align AI initiatives with business objectives. Keep abreast of emerging AI technologies and trends. AI Infrastructure & Deployment: Deploy and manage AI models in production environments on cloud platforms like Azure. Implement MLOps practices, ensuring continuous monitoring, retraining, and version control. Manage data pipelines for training and inference, ensuring data quality and security. Ethics & Compliance: Ensure AI models adhere to ethical standards, privacy laws, and company policies. Conduct regular audits for bias, fairness, and explainability. Qualifications & Skills Required: At least 2+ years of experience in AI/ML engineering, with hands-on work with LLMs. Strong Python programming skills and experience with AI frameworks like TensorFlow, PyTorch, Hugging Face, LangChain, OpenAI API. Experience deploying AI models in cloud environments (Azure or AWS). Familiarity with MLOps tools for deployment, monitoring, and lifecycle management. Knowledge of NLP, deep learning, and generative AI techniques. Strong problem-solving skills and ability to work independently as an AI engineering lead. Excellent communication skills for collaboration and guidance. Nice to Have: Experience with LLM fine-tuning and customization (LoRA, RLHF, PEFT). Hands-on experience with AI-driven automation, chatbots, or search augmentation. Background in data engineering for AI training. Experience with vector databases (e.g., Pinecone, FAISS, ChromaDB) for RAG, containerization (Docker), and CI/CD pipelines. Understanding of ethical AI principles, privacy laws (GDPR, CCPA), and compliance best practices. Why Join Us? Lead and own AI engineering efforts in an innovative environment, working with cutting-edge AI technologies and contributing to strategic initiatives. Enjoy a growth-oriented culture with learning opportunities, competitive salary, benefits, and flexible work arrangements. About Us IANS is an information security advisory and consulting firm serving Fortune-class organizations. Through our Faculty, we provide insights and decision support to enhance security practices and risk management. Learn more at http://www.iansresearch.com . #J-18808-Ljbffr