Senior software developer building AI-agent systems for ServiceCentral’s repair and reverse-logistics SaaS. Designing MCP integrations, knowledge pipelines, and scalable backend architecture.
Responsibilities
Design, develop, and maintain production-grade SaaS applications using AI agents and tooling as first-class parts of the workflow
Use agentic systems to automate scaffolding, refactoring, test generation, code review, and documentation
Build and maintain MCP servers connecting AI systems to codebases, APIs, databases, and internal tools
Design and maintain knowledge repositories, vector databases, retrieval pipelines, and embeddings for reliable domain-specific AI grounding
Apply AI tools across the full software development lifecycle, from architecture drafting and requirements analysis through implementation, testing, and deployment
Own architecture decisions end-to-end, including service boundaries, API contracts, data models, and integration patterns
Document architectural tradeoffs and design for observability, reliability, and failure
Identify and address structural technical debt
Build backend services, APIs, and data models for scalable line-of-business SaaS applications
Ensure system performance, reliability, and security
Translate operational business needs into well-architected software solutions
Requirements
Senior-level software development experience, including owning architecture decisions and designing systems from scratch
Proven, hands-on experience building with AI agents in production, using 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, including RAG pipelines, vector databases, and embedding strategies
Experience using AI coding tools such as Cursor, Claude Code, or GitHub Copilot as a structured part of the development workflow
Strong backend development skills and experience shipping production SaaS applications
Experience designing APIs, data models, and service integrations used by other developers
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