Expert Engineer AI
Role details
Job location
Tech stack
Job description
We're looking for an expert full-stack engineer to join this team as a senior hands-on builder. You'll design and ship core parts of the Companion system - from the agent orchestration layer and LLM-powered workflows to the frontend experiences our customers interact with daily. You'll also play a key role in shaping our AI platform so that other teams can build on top of what we create. Beyond building the product, you'll set the standard for AI-augmented engineering within the team. We expect you to leverage AI coding assistants as a core part of how you work, moving fast without compromising quality, and helping the engineers around you do the same., * 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., Inspiring Mission: At our core, we are driven by a meaningful mission - to empower solopreneurs and small businesses to succeed and to contribute to the sustainability and vibrancy of the communities they serve.
Flexibility and Trust: Our work environment thrives on flexibility and trust. We offer fully remote work set-up with opportunities for in-person collaboration. You can manage your working hours flexibly because we prioritize the results you deliver over the number of hours you put in.
An International Diverse Team: Our team is a mosaic of over 248 individuals hailing from 50+ different countries and working across 15+ diverse locations. We take pride in our openness and inclusivity, with an Employee-led DEI Council and active ERGs that ensure everyone's voices are heard.
Continuous Growth and Career Development: We invest in your growth with company-wide access to LinkedIn Learning and Hack Weeks, Deep Work Thursdays, conferences and access to technical eLearning platforms. From day one, you have the chance to contribute your ideas and create a meaningful impact. Our flat hierarchies and swift decision-making processes provide an open platform for your career progression.
Competitive Benefits Package:
- 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.
Requirements
Do you have experience in TypeScript?, Do you have a Master's degree?, * 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.