[Hiring] Senior Software Developer @Valsoft Corporation

Role Description

We are looking for a senior software developer who has made AI a structural part of how they build software — applying agentic systems, knowledge pipelines, and AI-connected tooling not as features, but as engineering fundamentals.

• 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: scaffolding, refactoring, test generation, code review, documentation.
  • Build and maintain MCP servers that connect AI systems to codebases, APIs, databases, and internal tools.
  • Design and maintain knowledge repositories (vector databases, retrieval pipelines, embeddings) for AI systems.
  • Apply these tools across the full 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.
  • 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.

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.

Requirements

• Experience with PHP or .NET development stacks (preferred but not required).
• Experience with MySQL or Oracle database engines (preferred but not required).
• Experience with distributed systems and message queues (preferred but not required).
• Experience building or maintaining vertical SaaS or B2B products (preferred but not required).
• Experience working in small, high-ownership teams (preferred but not required).

Benefits

• Use AI tooling at the level it's actually capable of, not as a novelty or an 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.
• Remote work.
• Competitive salary (salary range of $130k-$150k CAD).
• Bonus structure based on performance.
• Health & benefits plan available.
• Unlimited flexible paid time off.