Senior Python Backend Engineer – AI/LLM for CRM (Remote)

Resumonk

United States

On-site

USD 120,000 - 190,000

Full time

3 days ago
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Benefits offered by this job

Flexible schedules
Remote work option
Training and development programs
Corporate English school

Job summary

Emerging Travel is seeking a Senior Backend Engineer (Python) to join the HQ Automation division and the AI/LLM Team. The role focuses on automating customer service workflows using Python (Django/Aiohttp/RQ), PostgreSQL, and on-prem Camunda.

You will design APIs, work with Camunda and LLM models, and help scale high-load systems while collaborating with cross-functional teams globally.

Qualifications

  • 5+ years of professional software development experience.
  • Experience with Python/Django or FastAPI.
  • Strong PostgreSQL knowledge and raw SQL skills.
  • Experience designing APIs and integrations.
  • Experience with high-load systems and large databases.
  • Familiarity with GitFlow, CI/CD, Docker and Kubernetes.
  • English at least B1 level, spoken.

Responsibilities

  • Backend development of CRM/ERP product using Python (Django).
  • Support Camunda infrastructure and integration efforts.
  • Integrate with LLM models and develop related services.
  • Design service architecture, decompose tasks, and participate in code reviews.
  • Collaborate with Analysis, QA, and Support teams.
  • Lead development projects within the stream and coordinate resources.

Skills

Python development
Django
FastAPI
PostgreSQL
SQL queries
API design
Docker
Kubernetes
GitFlow
CI/CD
Camunda
pyzeebe
LLM model integration
English (B1+)

Tools

Camunda
pyzeebe

Job description

Emerging Travel is seeking a Senior Backend Engineer (Python) to join the HQ Automation division and the AI/LLM Team. The role focuses on automating customer service workflows using Python (Django/Aiohttp/RQ), PostgreSQL, and on-prem Camunda.

You will design APIs, work with Camunda and LLM models, and help scale high-load systems while collaborating with cross-functional teams globally.

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