About Keyloop
Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers. We empower car dealers and manufacturers to fully embrace digital transformation by creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs. We use cutting-edge technology to link our clients’ systems, departments and sites, providing an open technology platform that’s shaping the industry for the future.
The Role
As a Senior Software Engineer, you'll be at the heart of product development and delivery. Building customer-facing AI agents that drive our platforms and creating omnichannel communication experiences that puts agentic conversations in the hands of consumers. You'll work across the full stack, from backend services and agent orchestration logic to the interfaces customers experience. You’ll play a hands-on role in defining how we architect and scale our platform using cloud technologies and you'll be working close to the cutting edge of agentic AI, designing agents that reason, take action, and handle complex, multi-step interactions.
What You'll Be Doing
- Design, build, and iterate on customer-facing AI agents using Python and Node.js, including orchestration, tool use, memory, and conversation logic.
- Contribute to backend services using NestJS, and PostgreSQL, and Vector databases with a focus on reliability, maintainability, and scale.
- Help develop our omnichannel platform that enables seamless conversations across multiple communication channels (web, messaging, voice, and beyond).
- Collaborate closely with product, design, and data teams to shape what agents do and how they work.
- Define technical patterns and best practices as we scale our agentic systems globally.
- Participate in code reviews and contribute to a culture of thoughtful, high-quality engineering.
Information regarding specific benefits, perks, or growth opportunities was not provided in the job posting.
Requirements
- Strong professional experience with TypeScript across the stack. Node.js on the backend, React on the frontend.
- Solid understanding of backend architecture: API design, service patterns, and database modelling with PostgreSQL.
- Experience building or working closely with LLM-powered or agentic systems using Python. Prompt engineering, tool use, RAG, agent orchestration frameworks, or similar.
- Proficiency with AI-assisted development tools (e.g. GitHub Copilot, Cursor, Claude Code).
- 5+ years experience delivering software products at scale.
- A product-focused mindset, you think about users and outcomes, not just code.
- Strong communication skills, you can articulate technical decisions clearly to engineers and non-engineers alike.
Nice to have
- Experience with agent frameworks such as LangChain, LangGraph, AgentCore or similar.
- Familiarity with streaming, real-time, or event-driven architectures.
- Background in automotive, dealership tech, or B2B SaaS.
