AI Engineer

Design, train, and deploy machine learning and AI models in production

• Build LLM-powered features including classification, extraction, and generation

• Develop evaluation frameworks to measure model quality and performance

• Collaborate with data engineers to ensure clean, well-structured training data

• Monitor deployed models for drift, degradation, and edge case failures

Strong foundation in machine learning, NLP, or applied AI

• Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn)

• Experience building and deploying LLM integrations or fine-tuned models

• Familiarity with model serving infrastructure (e.g., SageMaker, Vertex AI, BentoML)

• Solid understanding of vector databases, embeddings, and retrieval systems

• Ability to communicate technical findings clearly to non-technical stakeholders