AI Engineer
Core
Design, develop, and deploy AI-powered applications and machine learning solutions, including LLM workflows, automation systems, and intelligent assistants.
Role type
AI Engineer (IC)
Builds
AI automation systems, chatbots, copilots, and intelligent assistants integrated into SaaS products and platforms.
Domain
Artificial Intelligence, Large Language Models (LLMs), Automation, SaaS
Deliverable
production ML models | product features
Required skills
Python, TensorFlow, PyTorch, LangChain, Hugging Face, API integration, cloud platforms, vector databases, embeddings, RAG pipelines, prompt engineering, SQL, data pipelines, model evaluation, backend development, scalable architecture, MLOps, Docker, Kubernetes, AWS, GCP, Azure
Preferred skills
Conversational AI, NLP, computer vision, CRM integration, workflow automation platforms, remote collaboration with international teams
Technologies
OpenAI, Claude, Gemini, TensorFlow, PyTorch, LangChain, Hugging Face, Docker, Kubernetes, AWS, GCP, Azure, SQL
Responsibilities
Design, develop, and deploy AI and machine learning models for real-world applications; Build and optimize LLM-powered workflows; Develop AI automation systems, chatbots, copilots, and intelligent assistants; Integrate AI solutions into existing platforms, APIs, and SaaS products; Fine-tune prompts and improve AI model performance through testing and iteration; Work with structured and unstructured datasets for training and inference tasks; Monitor AI system performance, reliability, and accuracy.
Seniority
Mid-level, hands-on IC