-
kapa.ai

Software Engineer (Full-stack)

kapa.ai
Germany · Full-time · Entry

As a software engineer you will work across the stack on the kapa systems that answer thousands of developer questions a day. Check out Docker’s documentation for a live example of what kapa is.

In This Role, You Will

  • Work directly with the founding team and our research engineers.
  • Drive forward the infrastructure that powers the kapa RAG engine.
  • Experiment with new features in the kapa analytics platform.
  • Work on the integrations which are used to deploy kapa for our customers.

You May Be a Good Fit If You Have

  • A degree in computer science, machine learning, mathematics, statistics or a related field.
  • 3+ years of software engineering experience working on complex systems.
  • An affinity for machine learning, deep learning (including LLMs) and natural language processing.
  • Prior experience working on information retrieval systems.
  • The ability to work effectively in a fast in a environment where things are sometimes loosely defined.
  • This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to kapa.ai, please reach out.

Key Skills

Ranked by relevance

c ha machine learning natural language processing deep learning docker lan san nat ai
Login to Apply
Posted
Dec 11, 2024
Type
Full-time
Level
Entry
Location
Germany
Company
kapa.ai

Industries

Software Development

Categories

Engineering Information Technology

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
Adobe
Related

Software Development Engineer - Adobe Sites Optimizer

2026-06-18

Full-time
Not Applicable
Romania
Software Development
Engineering
View Job Details
JetBrains
Related

Research Engineer (Agentic Models)

2026-06-17

Full-time
Not Applicable
Germany
Software Development
Engineering
View Job Details
JetBrains
Related

Research Engineer (Agentic Models)

2026-06-17

Full-time
Not Applicable
Germany
Software Development
Engineering