These are the ATS keywords, credentials, and software terms that recur across current ai engineer job descriptions — organized so you can scan for what your resume is missing. Placement matters as much as presence: an ATS keyword buried in a skills list ranks lower than the same term used in context inside an experience bullet.
Title variants
- AI Engineer
- LLM Engineer
- Generative AI Engineer
- AI Developer
- Prompt Engineer
- AI Software Engineer
- ML Engineer (for cross-discipline roles)
LLMs and providers
- OpenAI
- GPT-4
- Claude
- Anthropic
- Gemini
- Llama
- Mistral
- Hugging Face
Frameworks
- LangChain
- LlamaIndex
- LangGraph
- CrewAI
- AutoGen
- DSPy
Vector databases
- Pinecone
- Weaviate
- Chroma
- Qdrant
- pgvector
- FAISS
Techniques
- RAG
- retrieval-augmented generation
- embeddings
- semantic search
- prompt engineering
- fine-tuning
- LoRA
- QLoRA
- agentic AI
- multi-agent systems
- tool calling
- function calling
Evaluation
- RAGAS
- DeepEval
- LangSmith
- Arize AI
- evaluation pipelines
- hallucination detection
Infrastructure
- FastAPI
- Docker
- Kubernetes
- AWS SageMaker
- GCP Vertex AI
- Redis
- streaming
- prompt caching
Long-tail phrases
- AI engineer resume examples
- how to write an AI engineer resume
- LLM engineer resume
- generative AI engineer cv
- AI developer skills for resume
Pasting these terms into your resume verbatim without matching context can read as keyword stuffing to a human reviewer, even if it passes the ATS. The full AI Engineer resume guide shows where each category belongs and how to work it into real experience bullets.