Software Engineer (Full-stack)

kapa.ai; Norway; On-site; NOK 1,000,000 - 1,250,000; Full time

Job summary

Join a forward-thinking company as a software engineer, where you'll collaborate with the founding team and research engineers to enhance the kapa systems. This exciting role involves driving the infrastructure for the kapa RAG engine, experimenting with new features, and working on customer integrations. If you have a strong background in software engineering, machine learning, and a passion for tackling complex systems, this is the perfect opportunity to make a significant impact in a fast-paced environment. Your contributions will help shape the future of intelligent systems at kapa.ai.

Qualifications

• 3+ years of software engineering experience on complex systems.
• Affinity for machine learning, deep learning, and NLP.

Responsibilities

• Work on the kapa systems answering thousands of developer questions daily.
• Drive the infrastructure powering the kapa RAG engine.

Skills

Software Engineering

Machine Learning

Deep Learning

Natural Language Processing

Information Retrieval Systems

Education

Degree in Computer Science

Degree in Machine Learning

Degree in Mathematics

Degree in Statistics

Job description

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-paced 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.