Staff Platform Engineer

CAI Software, LLC

Staff Platform Engineer developing CAI Parsable cloud platform to improve manufacturing operations. Engaging with cross-functional teams to implement cloud solutions and enhance platform features.

Posted 7/11/2026full-timeSalt Lake City • Utah • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in architecting and delivering customer-facing cloud platforms, with a strong focus on DevOps practices and agentic AI workflows. Proficient in leveraging AWS tools and microservices architecture to build reliable, scalable solutions.

Highest-signal resume keywords

AWS Suite MasteryGo And/Or Node (Typescript) DevelopmentAgentic AI Workflow DesignMicroservices Architecture ExperienceObservability Frameworks Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud Platform ImplementationBackend Services DevelopmentMicroservices ArchitecturePrompt EngineeringRAG ArchitecturesAPI IntegrationObservability MetricsAgentic FrameworksMCP Server ImplementationTool-Calling Integrations

Soft Skills

Technical CommunicationOpinion DefenseCollaboration

Tools & Technologies

AWS LambdaAPI GatewayEventBridgeDynamoDBOpenAILangChainLangGraphAutoGenCrewAIDocumentDB

Industry Keywords

SaaS EnvironmentCustomer-Facing PlatformsAgile Delivery ModelCloud Platform CapabilitiesAI-Driven Platform

Tech Stack

Tools & technologies

AWSCloudDynamoDBGoMicroservicesNode.jsTypeScript

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

Equal Employment Opportunity employer
Reasonable accommodations for applicants with disabilities