Modern Role · 01
AI / Machine Learning Engineering
Engineers who build, train, deploy, and operate modern AI systems — from foundation models and agents to evaluation, safety, and AI infrastructure.
14 Roles
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| Role | What They Do | Find |
|---|---|---|
| AI Engineer | Builds AI-powered applications, agents, copilots, chatbots, and automation tools. | Search → |
| Machine Learning Engineer | Builds, trains, deploys, and monitors machine learning models. | Search → |
| Deep Learning Engineer | Works with neural networks, computer vision, speech, NLP, and generative AI systems. | Search → |
| Generative AI Engineer | Builds apps using large language models, image models, audio models, and multimodal AI. | Search → |
| LLM Engineer | Fine-tunes, evaluates, and deploys large language models. | Search → |
| AI Agent Engineer | Builds autonomous agents that can plan, reason, search, use tools, and complete workflows. | Search → |
| Prompt Engineer | Designs prompts, system instructions, workflows, and evaluations for AI models. | Search → |
| AI Workflow Engineer | Connects AI models with business processes, APIs, databases, and automation tools. | Search → |
| AI Automation Engineer | Uses AI to automate customer service, operations, research, trading, marketing, and admin tasks. | Search → |
| AI Product Engineer | Builds AI features directly into software products. | Search → |
| AI Safety Engineer | Tests and reduces harmful, biased, unsafe, or unreliable AI behavior. | Search → |
| AI Evaluation Engineer | Designs tests to measure AI accuracy, reasoning, reliability, and performance. | Search → |
| AI Model Optimization Engineer | Improves model speed, cost, latency, and memory efficiency. | Search → |
| AI Infrastructure Engineer | Builds the compute systems, GPUs, clusters, and pipelines needed to run AI models. | Search → |
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