Senior AI/ML Engineer

Job Summary

To build and deploy production-ready machine learning and generative AI solutions, the full-time Senior AI/ML Engineer will focus on developing intelligent systems using LLMs, agent-based architectures, and scalable MLOps practices in a remote environment.

Key responsibilities

• Build, deploy, and optimize ML and generative AI solutions in production
• Develop Retrieval Augmented Generation (RAG) pipelines and AI agents
• Design MLOps pipelines for model training, deployment, monitoring, and feedback loops

Required qualifications

• 5 years of experience in data science or machine learning
• Strong experience with LLMs, generative AI, and prompt/context engineering
• Hands-on experience with RAG and vector databases
• Proficiency in Python, PyTorch, and/or TensorFlow
• Solid MLOps experience, including CI/CD and model versioning