Talent · AI and Data
AI Engineer (LLM and Agents)
An engineer who builds LLM features, agents and document search that give the same good answer on the hundredth try.
What they do
- Builds agents with tools, memory and limits on what they may do
- Sets up search over your documents and databases
- Writes prompts, test sets and regression checks
- Cuts response time and cost with caching and model routing
- Adds AI features to your web and mobile apps
When to bring one in
- You are adding AI features to a product
- Your chatbot gives a different answer each time
- You need tests for AI features before release
Specification
- Core skills
- Prompt and context engineering, Agent frameworks, Retrieval and embeddings, Evaluation design, Python, TypeScript
- Tools
- Claude, OpenAI, Gemini, LangGraph, LlamaIndex, MCP, Langfuse, Qdrant, pgvector
Seniority
Mid level3 to 5 years
Builds AI features with a senior reviewing
Senior5 to 8 years
Designs and ships AI features on their own
Lead8+ years
Sets AI engineering practice across teams
Request
Request an AI Engineer (LLM and Agents)
Tell us about the project, stack and domain. We will share matched profiles, usually within one to two weeks.
Often works with
Start a conversation
Tell us what you are trying to build.
Share the problem in a short call. You leave with a clear view of the approach, the team and the cost.
Or get a ballpark proposal in two minutes
A specialist replies within one working day. The first conversation is free.