Senior Backend Engineer (AI Conversational Systems)

About the Company:
A tech-driven company revolutionizing the quick-service restaurant industry through conversational AI. Their product suite supports real-time voice ordering, personalized experiences, and ML-powered automation that improves service speed and customer satisfaction. The engineering team embraces autonomy, curiosity, and performance in a high-impact, production-focused environment.

About the Role:
We’re seeking a Senior Backend Engineer to help design and scale backend infrastructure supporting real-time conversational AI. You’ll work at the intersection of software engineering and machine learning, building flexible conversational pipelines and optimizing AI/ML workflows in production. You will collaborate with ML engineers, product managers, and infrastructure teams to deliver reliable AI-powered experiences.

Responsibilities:

  • Architect and implement configurable conversational pipelines for real-time voice interactions
  • Integrate ML/AI systems into scalable production infrastructure
  • Monitor and improve performance of AI pipelines in live environments
  • Lead debugging and issue resolution across the stack
  • Maintain test coverage and tooling for AI system reliability
  • Collaborate with cross-functional teams to optimize user experience and model performance

    Qualifications:

  • BSc in Software Development or equivalent industry experience
  • 5+ years experience in Python
  • Strong backend development and software architecture skills
  • Experience in developing and deploying multiple projects used in production
  • Experience with CI/CD, Clouds (AWS/GCP/Azure), Linux, Docker, Kubernetes.
  • Experience with Data Pipelines, ETL.
  • Prior experience working in startups.
  • 2+ years of experience as a tech lead or team lead.

    Bonus:

  • Experience with conversational AI applications.
  • Knowledge of concurrency.
  • Experience with React.

Required languages

English B2 - Upper Intermediate
Python, CI/CD, Clouds (AWS/GCP/Azure), Linux, Docker, Kubernetes, Data Pipelines, ETL, AI
Published 8 July · Updated 4 November
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