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Tech Stack
Tools & technologiesAWSCloudJavaScriptKubernetesMicroservicesNode.jsReactTerraformTypeScript
About the role
Key responsibilities & impact- Architect and build core Companion services: the agent orchestration layer, recommendation engine, Business Assistant, and the APIs that connect them — enabling personalized, data-driven guidance at scale.
- Ship production AI agents and agentic workflows that help microbusiness owners complete real business tasks like creating content, setting up bookings, and optimizing their online presence.
- Design and evolve our AI platform so other product teams at Jimdo can build their own domain-specific AI agents and experts without reinventing the infrastructure.
- Own features end-to-end across the full stack — from LLM orchestration and backend services (Node.js/TypeScript, AWS) to the React frontend that hundreds of thousands of users see.
- Improve the intelligence of the system over time: refine prompt strategies, tune agent handoffs, implement guardrails, and close the loop between customer actions and measurable business outcomes.
- Drive technical decisions on how we integrate LLM providers, manage cost and latency, and build resilience (e.g., multi-provider fallback, caching strategies, observability).
- Collaborate with product managers, designers, data analysts, and engineers across teams to define what Companion does next — translating product vision into working software that increases customer transactions and retention.
- Proactively identify technical debt, architectural risks, and scalability bottlenecks in a fast-moving AI product — and drive pragmatic improvements.
Requirements
What you’ll need- 8+ years of software engineering experience, with at least 2 years in a senior or technical leadership role.
- Strong full-stack proficiency: Node.js/TypeScript backends and React frontends.
- Deep experience with RESTful APIs, microservices architecture, and cloud platforms (AWS preferred).
- Solid foundation in Kubernetes, Terraform, and GitHub Actions.
- Proven system design and architectural leadership capabilities.
- Hands-on experience building with LLMs: prompt engineering, LLM API integration, agentic workflows, or AI-powered product features. You've gone beyond experimenting — you've shipped AI features to real users.
- Expert-level proficiency with AI coding assistants (Cursor, Claude Code, or similar) — you use them daily to dramatically increase your development velocity and you can help others do the same.
- Ability to critically evaluate AI-generated code and know when to accept, modify, or reject suggestions.
- Proven ability to rapidly understand new domains and codebases and make meaningful contributions with minimal onboarding.
- Strong product sense — you care about what you're building and why, not just how.
Benefits
Comp & perks- Annual compensation reviews to ensure you're rewarded fairly.
- A remote office set-up bonus to enhance your workspace.
- An employee assistance program, offering resources and counseling.
- Plus, a perk that keeps giving: up to three free Jimdo websites for your personal or professional projects that you get to keep forever.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Node.jsTypeScriptReactRESTful APIsmicroservices architectureKubernetesTerraformGitHub ActionsLLM integrationprompt engineering
Soft Skills
technical leadershipsystem designarchitectural leadershipcritical evaluationproduct sensecollaborationproblem-solvingadaptabilitycommunicationproactive identification