Software Engineer (Full-stack)

Talantir
Spain
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Python (Programming Language) Machine Learning Natural Language Processing Software Engineering ReactJS Retrieval-Augmented Generation Large Language Models Deep Learning Backend Information Technology Data Management
+2 more
Front End Software Development Docker

Job description

Kapa makes technical knowledge instantly accessible through AI assistants. As a software engineer you will work across the stack on the Kapa systems that answer thousands of developer questions per day. Check out Docker’s documentation (https://docs.docker.com) for a live example of what Kapa is (look for the “Ask AI” button).

In This Role, You Will

  • Work directly with the founding team and our research engineers.
  • Scale the infrastructure that powers the Kapa RAG engine (Python).
  • Experiment with new features in the Kapa analytics platform (React + Python).
  • Work on the client integrations which are used to deploy Kapa for our customers (React + Python).
  • Give Kapa access to new kinds of data (Python).
  • Maintain our React SDK.

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 in both backend and frontend.
  • An affinity for machine learning, deep learning (including LLMs) and natural language processing.
  • 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.

Requirements

  • A degree in computer science, machine learning, mathematics, statistics or a related field.
  • 3+ years of software engineering experience working on complex systems in both backend and frontend.
  • An affinity for machine learning, deep learning (including LLMs) and natural language processing.
  • The ability to work effectively in a fast in a environment where things are sometimes loosely defined.

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