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About the Role We are seeking a highly skilled Senior Backend Engineer to build the core infrastructure of our next-generation SaaS platform. In this role, you will not only engineer the robust, multi-tenant architecture that supports our enterprise customers, but you will also pioneer the integration of production AI agents into our most complex workflows. You will be responsible for orchestrating LLMs, building critical integration layers, and designing rules engines that allow our customers to ship new products without writing a single line of code. This is a high-impact position for a developer who is already living in the future—someone who uses agentic AI tools daily to accelerate development and architect complex solutions. If you thrive under hard deadlines, love solving intricate data mapping challenges, and want to build at the bleeding edge of AI and SaaS development, we want to meet you. Our tools & stack Python, MySQL, AWS Claude, Codex, Cursor, Copilot, LangChain, LangGraph, LangFuse, OpenRouter, FastMCP What you'll do Push production AI agents into the platform's most complex flows. Build the MCP servers that orchestrate them: tool layer, context handling, model routing through OpenRouter. Build the integration layer that powers the platform and the AI agents on top of it: identity, e-signature, real-time data services. Every call has a user or an agent on the other end. Build the rules engines, configuration runtime, and AI Copilots that turn the platform into a product factory. Customers ship entirely new products without us touching the code. Bring whole companies onto the platform: importer pipelines, schema mapping, hard go-live dates. Every customer's data shape is different. Every cutover has a deadline that doesn't move. Engineer the multi-tenant infrastructure companies run on. Async workers, document pipelines, scheduled jobs touching every site. The AI agent fleet is joining them tenant by tenant. Design the public APIs the entire customer ecosystem runs on, with AI agents as first-class consumers and the contracts that let new endpoints ship at speed. Requirements Must have Bachelor’s Degree or higher in Computer Science or a related field. 5+ years of experience in Python web development. 3+ years with SQL databases (e.g., MySQL, PostgreSQL). 3+ years of SaaS product development, including cloud-based solutions. 3+ years of hands-on experience with Django or another Python framework. 2+ years of proven experience building and consuming APIs. Daily, deliberate use of agentic AI coding tools such as: Claude, Cursor, Codex. Experience with spec-driven development: using AI to generate tests, scaffolding, or architecture from requirements. Proven ability to direct AI agents on multi-file, long-horizon tasks. Professional experience working with Docker for containerization and AWS. Excellent verbal and written communication skills. Nice to have 2+ years of experience working at a scaling startup. Hands-on experience with frontend frameworks like Vue.js or React. Hands-on experience building production AI agents or multi-step LLM pipelines using LangChain, LangGraph, or equivalent orchestration frameworks. Proven use of Agent Teams in Claude Code, multi-agent orchestration via Codex, or similar parallel agentic workflows.
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In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.