AI Engineer

Responsibilities

• Design, develop, and deploy AI/ML solutions with a focus on Generative AI and LLMs
• Fine-tune and customize foundation models for specific domain or business requirements
• Develop intelligent systems using Python and modern ML frameworks
• Collaborate with cross-functional teams to integrate AI into core products
• Evaluate, test, and implement third-party APIs, libraries, and models
• Optimize model performance, latency, and scalability for production use
• Stay up to date with the latest advancements in AI, machine learning, and GenAI technologies

Requirements

• 9+ years of professional experience in AI/ML roles
• Strong expertise in Generative AI, LLMs, and natural language processing (NLP)
• Proficient in Python and libraries like TensorFlow, PyTorch, Hugging Face Transformers
• Solid background in machine learning algorithms, deep learning, and model evaluation techniques
• Experience deploying and maintaining ML models in production
• Strong problem-solving skills

Preferred Qualifications

• Experience with prompt engineering and few-shot/fine-tuning techniques
• Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)
• Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines
• Cloud experience (AWS, GCP, or Azure)