Senior Backend Engineer: Python, TypeScript, AWS & LLMs

CoolPeople Technology

Stockholms kommun

On-site

SEK 900,000 - 1,100,000

Full time

5 days ago
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Job summary

CoolPeople Technology is seeking a Senior Backend Developer / Backend Engineer with production experience in Python and hands-on AI/LLM solutions. This backend role supports a property/real-estate platform, developing scalable services using Python and TypeScript and running containerized workloads on AWS.

A key portion involves implementing LLM-based functionality, with practical experience deploying LLMs in real-world environments.

Qualifications

  • Senior backend developer with production experience in Python and hands-on AI/LLM solutions.
  • Backend focus for a property/real-estate platform using Python and TypeScript on containerized workloads on AWS.
  • Experience building and deploying LLM-based functionality in real-world environments.

Responsibilities

  • Design, develop, and maintain backend services using Python and TypeScript.
  • Operate containerized applications on AWS, ideally ECS.
  • Develop and integrate LLM-based functionality.
  • Design and maintain data pipelines and DAG-based workflows.
  • Handle large-scale document and data processing.
  • Contribute to technical architecture and improve structure of a growing tech environment.
  • Identify improvements and propose proactive solutions.
  • Take ownership from design to production.
  • Collaborate with the responsible manager and grow as a trusted technical expert.

Skills

Python
TypeScript
LLMs
Data pipelines
DAG workflows
Containerization
AWS ECS
Backend development
Real estate domain

Tools

AWS ECS
Docker

Job description

CoolPeople Technology is seeking a Senior Backend Developer / Backend Engineer with production experience in Python and hands-on AI/LLM solutions. This backend role supports a property/real-estate platform, developing scalable services using Python and TypeScript and running containerized workloads on AWS.

A key portion involves implementing LLM-based functionality, with practical experience deploying LLMs in real-world environments.

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