Staff Fullstack Engineer – Agentic Product (m/f/d)

You will take on technical leadership and end-to-end ownership for a new, customer-facing Agentic Product at happyhotel – with a clear focus on measurable impact (impact over output). You combine strong product sense with hands-on engineering and build agentic systems that function reliably, safely, and scalably in practice.

Important: No disciplinary personnel responsibility. You lead through expertise, standards, and ownership.

• Fullstack Execution: You develop UI and backend services in our stack (TypeScript/Angular) and build robust APIs and integrations.

• Outcome Focus: You are responsible for measurable results. You define success metrics, baselines, and guardrails – for you, impact counts more than output.

• AI Strategy: Working closely with Product, you identify high-leverage workflows that we automate through intelligent agents.

• Iterative Shipping: You translate ambiguous problems into iterative releases (MVP → v1 → Scale) and make smart trade-offs between UX, risk, and engineering quality.

• Agentic Architectures: You design and implement architectures for AI agents – from tool use and orchestration to cost and latency control.

• Robust Evaluation: You establish test sets and regression suites to ensure the quality, safety, and reliability of our AI features in production.

• Engineering Standards: You set the benchmarks for testing, code quality, CI/CD, and scalability in a cloud environment (AWS).

• Tech Leadership: You raise the team level through design reviews and pairing, provide orientation, and set standards for AI reliability.

• Mentoring & Hiring: You support the growth of the team through mentoring and actively contribute to our interview process.

• Product Shipper: You have a proven track record of releasing customer-facing products end-to-end (UX + backend + ops) successfully.

• Fullstack Pro: You are technically deeply rooted in our stack (TypeScript + Angular).

• Product Mindset: You balance technical excellence with business outcomes and make pragmatic decisions for the product.

• Production Experience: You are confident working with AWS, Docker, CI/CD and have a strong reliability mindset.

• Agentic Know-how: You have hands-on experience with agentic coding or workflows (LLMs that plan and use tools).

• Collaboration: You work reliably, pragmatically, and are absolutely team-oriented across all functions.

• Languages: You communicate clearly in English.

• AI Track Record: You have already accompanied AI products from the first MVP to broad adoption in production.

• Messaging & Data: Experience with pub-sub systems (RabbitMQ, SQS) as well as MongoDB performance and data modeling.