Staff Platform Engineer

Job Description

Job Description

Platform Staff Engineer Great people. Greater business impact.

 

About CAI

CAI Software builds digital work execution platforms and software solutions that help manufacturing businesses operate with greater clarity and control. Our people bring structure to complexity by replacing fragmented, paper-based processes with connected digital workflows that improve visibility, compliance, and decision-making in real industrial environments. With 45+ years of experience and a presence across 10+ countries, CAI combines deep industry understanding with practical technology. Our teams work across 15 core industries and support 5,000+ customers, guided by sound judgment, long-term thinking, and outcomes that endure.

 

CAI Business Units and the Markets We Serve

CAI Software is organized into three business units - Graphic Communications, Process Manufacturing, and Discrete Manufacturing – aligned to the markets we serve. This structure allows our teams to stay 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.

 

 

About the 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 DevOps 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 DevSecOps 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., LangGraph, AutoGen, CrewAI), and AI model APIs to accelerate delivery and maintain competitive platform capabilities

 

What We’re Looking For

• 8+ years experience delivering customer-facing platforms at scale
• 5+ years experience architecting, building and releasing production-grade within a SaaS environment
• 5+ years experience developing backend services capabilities leveraging Go and/or Node (Typescript)
• Demonstrated, hands-on mastery of the AWS suite of tools including Lambda, API Gateway, AppSync, EventBridge, ECS, S3, DynamoDB, DocumentDB, and AuroraDB
• Deep experience building product capabilities in a microservices architecture
• Ability to assert and defend opinions on the merits of differing solutions
• Ability to clearly explain technical concepts to non-technical audiences
• Hands-on experience designing and deploying agentic AI workflows, including multi-step reasoning pipelines, tool-use patterns, and autonomous agent orchestration in production environments
• Proficiency with LLM APIs (e.g., Anthropic Claude, OpenAI) and agentic frameworks such as LangChain, LangGraph, AutoGen, or CrewAI; experience implementing MCP servers and tool-calling integrations
• Strong understanding of prompt engineering, RAG (Retrieval-Augmented Generation) architectures, vector databases, and context management strategies for LLM-powered applications
• Experience building observability and evaluation frameworks for agentic systems, including monitoring for hallucination, latency, cost, and agent decision quality in production

 

 

Why Join Us
You’ll have the opportunity to drive some of the most critical transformation initiatives in our company’s history. This is a highly visible role working directly with senior leadership to shape the future operating model of CAI. You’ll bring clarity, discipline, and execution focus to complex cross-functional programs while gaining exposure across every function of the business.

 

Equal Employment Opportunity  

 

CAI Software  is an Equal Opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, sex (including pregnancy, sexual orientation, and gender identity or expression), religion, disability, , genetic information, marital status, veteran status, or any other basis protected by local, state or federal law.

 

Disability Accommodation  

CAI Software  endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use the online application process and need an alternative method for applying, please contact us at View email address on us.fitly.work or send an e-mail with your specific accommodation request.

 

Work Authorization  

Applicants must be authorized to work in the United States. CAI Software does not unlawfully discriminate on the basis of citizenship or immigration status in accordance with the  Immigration Reform and Control Act of 1986 (IRCA) .

 

Pay Transparency Nondiscrimination  

CAI Software  will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c).