Deine Übereinstimmung

Skills

AIAgile MethodologiesDeploymentData protectionSoftware engineeringOrchestration systemsProcess mappingEvaluation frameworks designagent evaluation frameworksAPIsMCP serversWeb application development

Sprachen

EnglischFranzösischDeutsch

Die Stelle

We are looking for an AI product engineer to lead, hands-on, how we put AI to work. You will build the agents that take the manual, repetitive parts of buying, financing and selling a home off people’s plates, so our experts can spend their time on the moments that matter. You will not start from zero. We have a compelling vision and working prototypes. Your job is to take this pattern from prototype to product: real agents, real users, measured outcomes. You will get a first agent into production within your first months and grow a pipeline from there. This is a zero-to-one role with real ownership and visibility reporting directly to our CTO. If you love turning a manual process into working software that ships in weeks rather than quarters, you will feel at home here.

01Find the value: Spend real time with product managers, advisors, real estate agents and operations specialists, map their workflows, identify the agent use cases that remove the most measurable toil across the client journey or internal operations - prioritise by outcome

02Build the agents, hands-on: Design, build, test and ship agents yourself: use agent frameworks & platforms where they are faster, real code where they are not

03Own the delivery surfaces: Take our prototypes to product, and evolve how agents reach users: in-product, in chat, and later on mobile

04Build the MCP layer: Wrap the stable domain APIs in thin, well-designed MCP tools your agents act through. You are the first and most demanding consumer of our API-first architecture.

05Drive the requirements to the teams: Specify the APIs your agents and surfaces need from the domain-owning engineering teams, who build and expose them; you consume clean contracts rather than reaching into systems directly

06Choose the platform with Platform: Lead the selection of the technology & platforms jointly with the Platform team, accounting for security, Swiss/EU data protection, cost and operability

07Ship on rails, within the guardrails: Deploy on the company’s fenced, containerised, API-only path; instrument and evaluate your agents; respect data-sensitivity tiers

08Hand off when an agent grows up: When an agent becomes revenue-critical or touches critical client or financial data, hand it to Engineering for hardening and long-term ownership, and keep building the next one

09Measure outcomes: Track effort removed, cycle-time and conversion impact, and adoption by the people the agents serve. Not the number of agents shipped

Anforderungen

↳Fluent in the AI stack: You've worked with the modern AI stack in some form (direct model APIs, agent frameworks like LangGraph/CrewAI/Google ADK, orchestration platforms like Dify/n8n). We care about what you shipped, not which tool you used.

↳A developer at heart: You have a software engineering background and have been writing and owning production code for years. Which specific language doesn't matter to us.

↳Comfortable across the stack: Whether that's PHP, TypeScript/JavaScript, or Python, you're comfortable building applications, APIs and random other things like browser extensions or even mobile apps.

↳Pragmatic about tools: You reach for agent platforms and AI tooling where they're faster, and write real code where they're not. Comfortable with MCP, webhooks, prompting and streaming UIs.

↳Disciplined about evaluation: You have shipped LLM-based systems to real users: you write evals, design quadrails, think in failure modes, and know when an agent must refuse to answer. In a regulated, document-heavy domain this is the core skill, not a nice extra

↳A discovery person: You are comfortable sitting next to an advisor for an afternoon, mapping a messy human workflow, and earning the trust of the people whose toil you are removing

↳Product-minded: You prioritise by outcome, validate before building, and are willing to kill an agent that does not move a metric

↳Fast and pragmatic: You can get a first useful agent into production in weeks and iterate.

↳Safety-aware: You respect data sensitivity (client, financial, identity) and work within guardrails rather than around them

Vorteile

＋End-to-end ownership of your product with the authority to drive implementation, challenge the status quo, and own the outcome from conception to launch of new features

＋A unique career opportunity to join a fast-growing and award-winning scale-up within the real estate industry

＋Shape the future of real estate tech in Switzerland: Have a direct impact on Neho’s growth, and deliver efficient, and scalable AI tools that give Neho a competitive edge

＋Enjoy flat hierarchies, quick decision-making processes, and the freedom to work autonomously and leave your mark

＋Be part of an energetic, forward-thinking team spanning our offices in Lausanne and Zurich as well as our remote engineering team in Romania

＋Thrive in an entrepreneurial, innovative culture that values transparency, fairness, and strong team support

＋Competitive benefits including 5 weeks of vacation + extra days based on tenure, fully paid maternity/paternity leave, remote work options, regular team events, and more!

Technologien

AI frameworksLangGraphCrewAIGoogle ADKDifyn8nPHPTypeScriptJavaScriptPython

Unternehmen

Neho

Real Estate

Neho is one of Switzerland’s leading real estate brokerage companies, redefining the industry through innovation. We combine human expertise with powerful digital solutions to deliver a faster, more transparent, and more efficient real estate experience. Our approach has been recognised with prestigious awards, including the SEF Award 2023. What truly sets us apart is our fixed-price model, offering clients a modern alternative to traditional commission-based services, powered by advanced technology.

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AI Product Engineer