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

📅 Apr 23
TypeScriptAngularAWSDocker
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📜 Description

  • Build customer-facing UI, backend services, APIs, and integrations using TypeScript and Angular.
  • Define success metrics, baselines, and guardrails, and optimize for measurable product impact.
  • Partner with Product to identify workflows suited to automation with intelligent agents.
  • Design and implement agent architectures, including tool use, orchestration, and cost and latency controls.
  • Ship iteratively from MVP to scale, balancing user experience, risk, and engineering quality.
  • Establish AI evaluation and engineering standards, and raise team capability through reviews, pairing, mentoring, and hiring.

🛠️ Requirements

  • Proven experience shipping customer-facing products end to end across UX, backend, and operations.
  • Strong hands-on experience with TypeScript and Angular.
  • Experience with AWS, Docker, and CI/CD, with a focus on reliability.
  • Hands-on experience with agentic coding or workflows involving LLMs that plan and use tools.
  • Clear English communication and a collaborative, pragmatic approach.
  • Nice to have: experience taking AI products from MVP to production adoption, RabbitMQ or SQS, and MongoDB performance and data modeling.
Full job description

Your Role

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.

Your Tasks

  • 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.

Your Profile

  • 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.

Bonus Points (Nice-to-haves)

  • 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.

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