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Metro location plus an Engineer title increases competition, moderated by specialized AI/cloud requirements.
Core cloud, API, and Python skills are transferable, but client-facing and telephony specifics add some domain bias.
Mandatory cloud, language, and LLM integration skills create moderate screening filters for candidates.
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Design, build, and maintain integrations between the Blue Machines platform and client systems using APIs and cloud services.
Develop production-grade solutions integrating AI/LLM frameworks such as LangChain and OpenAI SDKs.
Collaborate with clients and internal teams for deployment, debugging, automation, documentation, and optimization of integrations.
Proficient in Python or Java for backend and integration development.
Mandatory hands-on experience with cloud platforms, preferably Google Cloud Platform (GCP).
Strong knowledge of web technologies, REST APIs, WebSockets, webhooks, and authentication protocols like OAuth2 and JWT.
Experience with AI/LLM ecosystems including prompt design or LangChain-style orchestration.
Experienced engineer capable of delivering reliable, production-grade AI integrations across diverse client systems and cloud environments.
Technically proficient in API integration and cloud-native development with a focus on AI/LLM frameworks.
Comfortable engaging directly with clients to troubleshoot, optimize, and support deployment efforts.