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Fullstack Software Engineer, AI Agents (m/w/d)

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Onsite

Fullstack Software Engineer, AI Agents (m/w/d)

neola AI

Fullstack Software Engineer, AI Agents (m/w/d)

Skills

NextReactNodeTypescriptAINo-code Automations

8 months ago

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Important information


Contract type:

Permanent

Location:

Berlin, Germany

Work mode:

Onsite

Published on:

9 October 2026

What they need


At Neola AI, we’re building digital workers for real estate operations. Our first product, Sabine, handles resident requests end-to-end. From intake and qualification to dispatch, follow-ups, and clean closure - replacing repetitive operational work with structured, AI-driven workflows.

What sets us apart: deep domain expertise. We know property management from the inside: the edge cases, the escalation loops, the operational pain. We’re not guessing workflows. We’re encoding real ones. We’re early, fast-moving, and building with high standards: clean architecture, measurable impact, zero fluff.

We’re looking for a fullstack engineer with a strong interest in applied AI systems and real-world workflow automation. In this role, you’ll work closely with product and engineering leadership to prototype, build, and scale AI-driven operational systems.

  • Design, build, and iterate on fullstack systems that power AI agents from concept to deployment

  • Develop structured workflow engines combining deterministic logic with LLM reasoning

  • Integrate modern LLM APIs (OpenAI, Anthropic, etc.) including streaming and structured outputs

  • Prototype and evaluate new prompting strategies and agent orchestration approaches

  • Collaborate with product and design to improve UX for non-technical operators

  • Document architectural decisions and contribute to evolving internal standards

  • Participate in technical deep dives, reviews, and fast iteration cycles

  • 3+ years of experience in a product-oriented software engineering role

  • Strong foundation in TypeScript, React, Next.js, and Node.js

  • Experience building production-grade APIs and scalable systems

  • Comfort working in fast-paced, ambiguous environments

  • Strong bias toward shipping and learning through iteration

  • Interest in AI systems, agent design, or workflow automation

  • High ownership from day one — real responsibility, real impact

  • Work on category-defining AI in a massive, underserved industry

  • Tight feedback loops, fast iteration, zero bureaucracy

  • Direct collaboration with founder, product, and engineering

  • In-office energy in Berlin — focused, ambitious, high trust

  • Competitive compensation with meaningful upside as we scale

  • Modern tooling, clean stack, high technical standards

If you’re looking to help build a system that structurally transforms an entire industry we should talk.

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