Pyramid Systems Inc

Principal AI Software Developer

Remote, US$166,000-$210,000Posted 7 days ago

Job Description

Description

The Senior Principal Full Stack AI Engineer serves as a senior, hands-on full-stack AI engineer, leading the design, development, and delivery of large-scale mission-critical AI systems supporting the AIR Platform. This role combines senior technical leadership, hands-on expertise in AI and LLM systems built on a modern cloud stack (Next.js, Terraform, GitHub, AWS, Azure, and GCP), and ownership of enterprise architecture, governance, and innovation. This is a full-time position under Nexus for Pyramid Systems.

Responsibilities

  • Serve as a senior technical lead, defining AI and application architecture for the AIR Platform in partnership with and under the direction of the Director
  • Establish enterprise modernization roadmaps aligned to mission outcomes, compliance, and scalability
  • Lead architecture for distributed, cloud-native, and hybrid AI systems
  • Define and enforce reference architectures, standards, and reusable frameworks
  • Drive cross-program technical decision-making to ensure interoperability, security, and long-term sustainability
  • Lead design, development, and deployment of advanced AI solutions, including large language models (LLMs) and foundation models, Retrieval-Augmented Generation (RAG) systems, agentic workflows, and orchestration frameworks
  • Architect and implement scalable AI applications and services using Next.js, cloud-native APIs, and managed AI services across AWS, Azure, and GCP
  • Build full-stack AI applications end to end, from user-facing interfaces to back-end services, APIs, and data layers
  • Integrate AI and LLM capabilities into existing enterprise applications and legacy platforms (e.g., content management, case management, and records systems) via APIs, middleware, and event-driven patterns
  • Oversee the full AI solution lifecycle: data pipelines, evaluation, deployment, and monitoring
  • Drive LLM performance and cost optimization (e.g., caching, prompt and context optimi

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