Senior Software Developer (AI-Driven Automation)

ServiceCentral builds software for the device repair and reverse logistics industry, serving 500+ customers across 100+ countries. This role is for a Senior Software Developer who integrates AI as a core structural component of software development, not just as a feature.

This is not a role for someone who has merely added AI features to an application. We seek an experienced engineer who has fundamentally restructured software development workflows by leveraging AI agents to automate tasks like scaffolding, refactoring, test generation, code review, and documentation. The ideal candidate has hands-on experience with MCP (Model Context Protocol) servers to connect AI systems to codebases, APIs, databases, and internal tools, ensuring reliable, scoped access. They also design and maintain knowledge repositories (vector databases, retrieval pipelines, embeddings) to provide AI systems with accurate, domain-specific grounding.

Strong software architecture and system design are the baseline. Mastery of AI tooling is the differentiator. This role sits at the intersection of both, where neither substitutes for the other.

What You'll Do

Build Software Using AI as the Primary Instrument

Design, develop, and maintain production-grade SaaS applications using AI agents and tooling as first-class parts of your workflow. Use agentic systems to automate development tasks such as scaffolding, refactoring, test generation, code review, and documentation. Build and maintain MCP servers that connect AI systems to codebases, APIs, databases, and internal tools, ensuring AI assistants have reliable, scoped access to the context they need. Design and maintain knowledge repositories (vector databases, retrieval pipelines, embeddings) that give AI systems accurate, current, domain-specific grounding. Apply these tools across the full Software Development Life Cycle (SDLC), from architecture drafting and requirements analysis through implementation, testing, and deployment.

Architect Systems, Not Just Features

Own architecture decisions end-to-end. Design service boundaries, API contracts, data models, and integration patterns with long-term maintainability in mind. Reason through tradeoffs explicitly and document them so others can understand the reasoning, not just the outcome. Design for observability, reliability, and failure from the start. Identify and address structural technical debt before it compounds.

Build and Maintain SaaS Products

Design, develop, and maintain scalable line-of-business SaaS applications. Build backend services, APIs, and data models. Ensure system performance, reliability, and security. Translate operational business needs into well-architected software solutions.

Required Qualifications

• Senior-level software development experience: you have owned architecture decisions, designed systems from scratch, and can articulate the tradeoffs you made and what you'd change
• Proven, hands-on experience building with AI agents in production: systems that use LLMs to plan, use tools, and execute multi-step tasks reliably
• Practical experience building or consuming MCPs (Model Context Protocol) to connect AI models to tools, APIs, codebases, or data sources
• Experience designing and maintaining knowledge repositories (RAG pipelines, vector databases, embedding strategies) that provide reliable grounding for AI systems
• Experience using AI coding tools (e.g., Cursor, Claude Code, GitHub Copilot) as a structured part of your development workflow, not just for autocomplete
• Strong backend development skills and experience shipping production SaaS applications
• Experience designing APIs, data models, and service integrations that other developers build on

Preferred but Not Required

• Experience with PHP or .NET development stacks
• Experience with MySQL or Oracle database engines
• Experience with distributed systems and message queues
• Experience building or maintaining vertical SaaS or B2B products
• Experience working in small, high-ownership teams

Why Join Us

• Use AI tooling at its full potential, not as a novelty or experiment
• Own architecture decisions from day one with real influence over technical direction
• Build systems real businesses depend on, not demos or proofs of concept
• Room to grow as the platform expands around AI-driven automation

About ServiceCentral

ServiceCentral builds software that runs product service after the sale, including warranty claims, repair authorization, and service execution, for everyone from local repair shops to Fortune 50 OEMs. Backed by Valsoft Corporation, a permanent-capital owner of 150+ vertical software companies, ServiceCentral builds for the next decade, not just the next funding round.