How to match your resume to an LLM Engineer job description
We are looking for a LLM Engineer to build retrieval-augmented generation features for production. You will evaluate and improve LLM output quality systematically, and optimise inference cost and latency. Required: hands-on experience with Prompt engineering, RAG pipelines, Vector databases, Fine-tuning, and working knowledge of OpenAI API, LangChain, Pinecone. Preferred: DeepLearning.AI certifications. Success in this role is measured by answer accuracy, latency per request, cost per 1k requests.
Required skills to mirror
- Prompt engineering
- RAG pipelines
- Vector databases
- Fine-tuning
- LLM evaluation
- Guardrails
- Embeddings
- Inference optimisation
Seniority ladder
- AI Engineer
- LLM Engineer
- Senior LLM Engineer
- Head of Applied AI
Title variants
- Generative AI Engineer
- Applied AI Engineer