What our llm engineers do
LLM engineering is the discipline of making language models behave predictably. It covers retrieval design, prompt and tool schemas, evaluation datasets, model selection, caching, batching and deployment of open-source models on your own infrastructure.
Our LLM engineers are useful when a first version exists but quality, latency or cost is not good enough, or when you need a model that runs privately inside your own cloud.
What you can build with our llm engineers
- Hybrid search (keyword + vector) with re-ranking
- Evaluation datasets and automated regression tests for prompts
- Self-hosted models with vLLM, Ollama or managed endpoints
- Model routing between large and small models to control cost
- Fine-tuned models for classification, extraction and tone
- Tracing and analytics with LangSmith, Langfuse or OpenTelemetry
Flexible ways to hire
- Dedicated engineer: a full-time llm engineer working only on your product, in your tools and sprints.
- Part-time or on demand: expert hours for reviews, architecture or a specific feature.
- Managed team: a small cross-functional team that delivers a defined project end to end.
