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Camplight

Python Engineer – Conversational AI

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    Tech Stack / Requirements

    Are you a Python expert ready to build real-time AI-powered systems in the cloud?

    Join Camplight, where your backend expertise will directly impact the next generation of conversational AI pipelines and help shape cutting-edge AI-driven experiences.

    What you’ll be working on

    We are developing a real-time audio processing backend that powers complex conversational AI pipelines. Our systems integrate with a wide range of third-party services, providing unique challenges and opportunities to grow professionally in a fast-paced startup environment. You will be part of a team designing and deploying scalable, robust AI pipelines for order-taking scenarios, working closely with ML engineers to bring Generative AI solutions into production.

    Your Role

    • Design, implement, and integrate configurable conversational pipelines for various real-time scenarios.
    • Collaborate with ML engineers to deploy Generative AI pipelines in production.
    • Triage and analyze production AI performance issues.
    • Debug complex conversational flows.
    • Own and maintain data analysis pipelines and tools.
    • Implement and maintain automated testing infrastructure for AI pipelines to ensure stability and accuracy.

    About Camplight

    We build self-organizing technical teams and work with businesses to develop innovative software products. With over 300 successful projects and a cooperative, transparent culture, we value ownership, collaboration, and long-term growth. Joining Camplight also opens the door to becoming a co-owner of the cooperative, sharing in both decision-making and collective success.

    What we’re looking for

    • 5+ years of experience in Python development
    • Strong backend development and software architecture skills
    • Proven track record of deploying multiple production projects
    • Strong data analysis skills
    • Experience with cloud platforms (AWS/GCP/Azure), Linux, Docker, Kubernetes
    • Experience with data pipelines and ETL processes
    • Hands-on experience in Data Science or ML
    • Experience with conversational AI applications

    What we offer

    • Fully remote work with flexible hours
    • Competitive salary
    • Opportunity to become a co-owner of the cooperative
    • Individual career development plan
    • Friendly, collaborative team culture
    • Prioritization of mental and physical health

    Interview Process

    Initial Interview: 45-minute cultural and technical conversation with two team members.

    Technical Deep Dive (choose one):

    Homework Assignment: ~2-hour assignment followed by a 1-hour technical review

    Pair Programming: 2-hour live technical deep dive

    Constructive feedback will be provided regardless of the outcome.