Staff Platform Engineer
Listed on 2026-08-11
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Software Development
AI Engineer (Applied/Software)
CAI Software builds purpose-built solutions that help manufacturers, processors, and distributors accelerate performance. Our mission is to enable manufacturers to transform performance through a connected, AI-assisted ecosystem that delivers visibility, control, and continuous improvement. We bring the deep operational expertise and enterprise infrastructure to be a true long-term performance partner.
With 6,200+ active customers worldwide and a market-leading position in every vertical we serve, CAI combines 45+ years of industry expertise with modern AI-driven execution - helping businesses move faster, operate smarter, and perform at their peak. We work across 15+ industries and 10+ countries, guided by three values built into our name:
Candor, Accountability, and Impact.
CAI Software is organized into three business units:
Graphic Communications, Process Manufacturing, and Discrete Manufacturing - aligned to the industries we serve. This structure keeps our teams close to customer needs while operating with the scale and support of a global software company.
This role is part of our Process Manufacturing business unit, which provides ERP and operational software to manufacturers that transform raw materials into finished goods through formulas, recipes, or batch-driven processes. We work with small to enterprise manufacturers across industries such as food and beverage, bottling, pharmaceuticals, nutraceuticals, chemicals, paint, paper, tile, and supply chain logistics—supporting end-to-end operations from sourcing through production and distribution.
Aboutthe Role
CAI Software is looking for an experienced Staff Platform Engineer to join our Technology organization in support of our Parsable product. Process Manufacturing is on a mission to unlock the data and insights industrial leaders need to improve their operations and build a more sustainable future.
What You’ll Do- Responsible for the execution of architecture, development, implementation and quality practices in support of delivery of CAI Parsable’s cloud platform
- Implementation of cloud platform, operational and architectural patterns and practices to enable key features and drive new feature development
- Participate in the selection of technology enablers to deliver performant, reliable and cost-optimized solutions
- Design, build, and maintain cloud platform capabilities, aligned with Dev Ops and operational practices to rapidly and safely deploy new features to our platform
- Collaborate with Product, Professional Services, and other stakeholders to develop new cloud-platform features and products
- Create technical documentation for accessing, integrating, and using CAI Parsable platform capabilities
- Act as a senior technical team member in the delivery of CAI Parsable’s cloud platform; gain and consistently maintain deep knowledge of our cloud platform and implementation technologies
- Serve as a senior technical team member and subject matter expert within the platform engineering team and the larger engineering organization
- Improve and build observability, uptime, and readiness metrics to detect problems and maintain our SLAs with our customers
- Implement Dev Sec Ops tooling, processes and procedures to promote rapid iteration and reliable delivery of new and updated features
- Deliver quality work in an agile delivery model within a team environment
- Share your work and engineering best practices across the organization
- Design, develop, and operate agentic workflow infrastructure, including orchestration pipelines, tool-calling frameworks, and multi-agent coordination systems that power CAI Parsable’s AI-driven platform capabilities
- Establish platform patterns and guardrails for integrating LLM-based agents into production services, including prompt management, context window optimization, and safe tool execution
- Build and maintain MCP (Model Context Protocol) servers and API integrations that expose CAI Parsable’s platform capabilities as tools and context sources for AI agents
- Evaluate and adopt emerging agentic tooling, frameworks (e.g., Lang Graph, Auto Gen, CrewAI), and AI model APIs to accelerate…
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