Research Engineer, Agentic Retrieval
EMEAFull-Time
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Required Skills
- LLM
Requirements
- You read and reason about LLM behavior directly.
- You treat memory as a systems design problem.
- You understand tool and skill systems as retrieval problems.
- You have a working theory of context engineering.
- You build evals before features.
- You know vector search internals at a decent level.
- You write precisely.
Responsibilities
- Define what good agentic retrieval looks like.
- Treat agent memory as a systems problem.
- Investigate skill and tool retrieval as a first-class problem.
- Design and run experiments on retrieval inside agent loops.
- Build evaluation infrastructure for agentic retrieval.
- Profile agent retrieval traces end to end.
- Study how real agent stacks use Qdrant in production.
- Pair with design-partner teams running serious agent workloads in production.
- Influence the roadmap.
View Full Description & ApplyYou'll be redirected to the employer's site