Software Engineer III – AI-Native Systems & Tools Engineering

The hiring client is confidential. The Software Engineer III will design and build AI-native systems and agentic workflows that automate business operations, integrating enterprise data and platforms with full-stack applications and LLM capabilities. The role also supports reliable, secure production tools through monitoring, evaluation, and operational troubleshooting.

Responsibilities:

• Design, develop, and deploy agentic workflows that interact with enterprise systems and operational data, including tool and function calling, retrieval strategies, context management, evaluation frameworks, and appropriate safety guardrails
• Build and maintain full-stack applications and internal developer tools that support AI-powered automation and intelligent business processes
• Design and implement entity models, object schemas, and ORM-based data frameworks, incorporating authorization, validation, and governance rules
• Develop and maintain GraphQL APIs, PHP-based services, and data integration layers that enable applications and AI agents to interact with enterprise systems
• Build modern web applications using TypeScript, JavaScript, React, and Next.js, including interfaces that allow users to review, approve, monitor, and correct AI-generated actions
• Develop and extend integrations with enterprise platforms, including CRM systems, custom objects, automation triggers, reporting capabilities, and business logic
• Establish API contracts, data migration strategies, rollback procedures, and conflict-resolution mechanisms to support reliable system transitions
• Leverage AI-assisted development tools, such as Claude Code, Cursor, GitHub Copilot, or equivalent technologies, throughout implementation, code review, debugging, and refactoring
• Partner with cross-functional and operations stakeholders to identify manual, inefficient workflows and develop automated or AI-driven solutions
• Implement monitoring, logging, observability, and evaluation mechanisms to ensure the reliability, accuracy, and security of autonomous systems
• Participate in an on-call rotation, troubleshoot production issues, and maintain the performance and reliability of internally developed tools and applications

Requirements:

• Strong proficiency in JavaScript and TypeScript, with experience developing modern full-stack applications
• Hands-on experience with Tools Engineering, including building application tools, APIs, integrations, and backend services
• Experience with GraphQL, PHP, and ORM frameworks, including data modeling, schema design, and application-to-database interactions
• Demonstrated experience integrating LLM-powered features into production applications, including tool/function calling, retrieval-augmented generation (RAG), prompt engineering, context management, and AI output evaluation
• Strong understanding of SQL, relational databases, and data modeling
• Experience integrating enterprise or third-party APIs into production systems
• Practical experience using AI-assisted development workflows to accelerate software implementation, testing, code reviews, and refactoring
• Ability to evaluate where AI-driven autonomy is appropriate and where human approval, validation, or intervention is necessary
• Strong problem-solving skills and the ability to translate complex operational requirements into scalable technical solutions
• 1. Tools Engineering (Full Stack): Experience building full-stack tools, APIs, backend services, and enterprise integrations
• 1. GraphQL / PHP / ORM Frameworks: Hands-on experience with GraphQL, PHP, ORM-based architectures, and structured data modeling
• 1. AI Development Workflows: Practical experience leveraging AI-assisted development tools and building production-ready LLM-powered applications
• Experience with Next.js, React, and Vercel for modern full-stack web application development and deployment
• Familiarity with Salesforce, CRM platforms, and enterprise business systems
• Experience designing and deploying AI agents that perform actions against enterprise systems of record
• Knowledge of application observability, automated testing, evaluation harnesses, and production monitoring
• Experience modernizing legacy workflows and replacing manual operational processes through automation
• 1. Next.js / Vercel: Experience building and deploying modern web applications using Next.js and Vercel
• 1. Salesforce / CRM Knowledge: Familiarity with Salesforce, CRM data structures, custom objects, integrations, and workflow automation