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Protocol Intelligence
Data-driven signals on your job's competitivenessGeneric mid-level title, metro locations, and common experience band make competition high despite niche AI requirements.
Requires POS/payment domain knowledge and LLM integration, reducing cross-industry transferability.
Explicit 5+ years and 2+ senior years plus mandatory LLM, cloud, and PCI skills make filters strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and deploy AI-powered, intelligent POS systems with real-time analytics and automation workflows for retail and hospitality.
Lead development of scalable, cloud-native AI-enabled POS platforms integrating generative AI and large language models focused on performance and safety.
Collaborate cross-functionally and mentor engineering teams on AI integration, secure payment handling, and resilient system design across Windows, Linux, and cloud environments.
Minimum Requirements
5+ years software engineering experience, including 2+ years at Senior Engineer level in high-availability transactional systems.
Proven experience building intelligent automation systems with workflow orchestration, context management, and real-time decision pipelines.
Expertise in at least two of: Pascal (Delphi), JavaScript, C# programming languages.
Experience deploying and managing scalable cloud-based systems (AWS, GCP, or Azure) with containerization, CI/CD, and observability tooling.
Ideal Candidate Profile
Experienced in integrating large language models and generative AI into production POS or retail systems with focus on prompt engineering and RAG techniques.
Skilled in building secure, PCI-compliant systems handling payment data and fraud prevention in complex transactional environments.
Able to lead technical initiatives end-to-end and effectively collaborate with product, UX, operations, and business stakeholders in agile settings.