AI Engineer
Core
Build and deploy functional AI products (chatbots, AI agents, automation tools) by integrating existing foundation models, building data pipelines, and optimizing for real-world production.
Role type
AI Engineer (Applied AI / MLOps)
Builds
AI-powered chatbots, AI agents, automation tools, and RAG pipelines
Domain
Enterprise technology, Cloud Infrastructure, Generative AI
Deliverable
production ML models
Required skills
Python, JavaScript, Go, Java, PyTorch, TensorFlow, Hugging Face, LangChain, vector databases, AWS SageMaker, Google Cloud Vertex AI, Microsoft Azure, API design, data pipeline construction
Preferred skills
None stated
Technologies
Python, JavaScript, Go, Java, PyTorch, TensorFlow, Hugging Face, LangChain, vector databases, AWS SageMaker, Google Cloud Vertex AI, Microsoft Azure
Responsibilities
Select, configure, and fine-tune pre-trained foundation models; Expose AI models as APIs or microservices; Design agentic applications, RAG pipelines, and smart workflows; Build data pipelines to ingest, clean, and format data; Monitor AI systems for accuracy, reliability, and cost-effectiveness
Seniority
Mid-level, hands-on IC