Software Engineer, AI Focus [100%], Zurich Hybrid at Optiml

Zurich, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

30 Apr, 26

Salary

0.0

Posted On

30 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Data Systems, Applied AI, Python, Typescript, Agentic Systems, Data Pipelines, Workflow Orchestration, Model Optimization, Entity Resolution, Source Tracking, Contextual Understanding, Frontend Development, Backend Development, Communication Skills, Product Strategy

Industry

Software Development

Description

About You As a Software Engineer with an AI focus at Optiml, you will sit at the core of our product and data platform - where complex, messy real-world data is transformed into clear, decision-grade intelligence for real estate leaders. You thrive at the intersection of software engineering, data systems, and applied AI. You’re excited by ambiguity and enjoy going from zero to one: shaping early product direction, designing robust data architectures, and shipping production-grade AI-powered features that customers rely on every day. You don’t just experiment with models; you build durable systems around them, with strong data foundations, evaluation loops and operational rigor. Your mission is to help scale Optiml’s data and AI capabilities end-to-end: refining onboarding through smarter data ingestion, rolling out the next generation of our data scoring, and tackling hard problems like entity resolution, source tracking, and contextual understanding across structured and unstructured inputs. You’ll work closely with Product, Forward Deployed Engineers and the wider engineering team to turn customer pain points into elegant, automated solutions. This is a hands-on, high-ownership role for an engineer who wants real impact. You’ll be trusted to make pragmatic technical decisions, move fast without cutting corners and raise the bar for how AI-driven products are built at Optiml. If you’re motivated by ownership, product thinking, and applying cutting-edge AI to meaningful real-world problems, this role offers the opportunity to shape both our technology and how the team scales. About Optiml Optiml is revolutionizing real estate with our Real Estate Decision Intelligence (REDI) software—a new class of decision technology that embeds AI to help decarbonize buildings while optimizing asset financial performance. We are an ETH Zurich spin-off that launched its first product in April 2024 and has since been scaling across Europe and the United States, earning major industry recognition, including the 2024 ULI Europe PropTech of the Year and 2024 ZIA PropTech of the Year awards. We are backed by top-tier US and European investors, including Innovation Endeavors (the fund of former Google CEO Eric Schmidt), Planet A, BitStone, and Kompas, who support our mission to empower real estate investors, asset managers, and consulting partners to deliver a cost-effective, value-preserving transition to Net Zero. As of early 2026, we are expanding our team to broaden our product lines and scale operational delivery for a growing global client base. Tasks Responsibilities Product Strategy: Own the AI strategy for a core part of the product, using your product sense to turn customer pain points into elegant automated solutions. Agentic Systems: Prototype and deploy production-grade agents—from advanced unstructured document parsers to natural language query engines on top of our live databases. Feedback Loop: Set up the infrastructure to serve models, collect production data for evals, and implement continuous refinement loops for our agentic systems. Design & Engineering: Ship frontend and backend prototypes to validate key design concepts. End-to-End Ownership: Own the whole development lifecycle, from technical specs to deployment and post-launch monitoring.Elevate the Team: Collaborate on architecture and lead design/code reviews, instilling high standards for engineering across the company. Who we are looking for Embrace Challenges: You prioritize speed and flexibility, adept at making swift compromises to maintain momentum. Push The Limits: You are able to quickly and efficiently execute tasks, demonstrating strong initiative and self-drive. System Thinker: You see the big picture. You don't just build a prompt; you build a scalable system with clear boundaries, error handling, and observability. Inspire Others: You bring kindness and humor to the team, enhancing both morale and collaboration.Champion The Customer: Your meticulous attention to detail ensures excellence in product aesthetics and functionality. Requirements You have: 5+ years of experience designing, building and maintaining applications. Track record of shipping high-quality products and features at scale Expert programming skills in Python and Typescript Hands-on experience with Agentic systems, including RAG, Vector Databases, and building custom evaluation frameworks. BSc, MSc in Computer Science or Data Science or equivalent Experience setting up production grade data pipelines and workflow orchestration Ability to contribute individually and in teams. Outstanding written and verbal communication skills in English. Swiss or EU citizenship (unfortunately due to size, we can’t support non-EU). Nice to have: Domain Expertise: Prior knowledge in Real Estate or Fintech data structures and workflows. Model Optimization: Experience with Fine-tuning (LoRA, QLoRA) or model distillation to reduce latency and costs. Benefits 🌍 Impact: Play a critical role in scaling a company transforming how real estate decarbonizes. ⚙️ Ownership: Build and own the operational backbone of a fast-growing startup. 🚀 Growth: Work closely with an exceptional leadership team and gain exposure to all company functions. 🏆 Culture: Join a mission-driven, high-performance, and collaborative team.💡 Benefits: Competitive salary, equity options, learning budget (CHF 1k), and additional insurance support. 25 days paid vacation.

Responsibilities

The Software Engineer will own the AI strategy for a core part of the product, transforming customer pain points into automated solutions. They will prototype and deploy production-grade systems and oversee the entire development lifecycle.