7+ years of backend engineering experience in high-scale B2B SaaS or data-driven products Proven track record building and maintaining production-grade distributed systems Strong proficiency in one or more of: Python, Java, Go, Node.js, .NET — with a bias toward Python Solid engineering fundamentals: system design, data structures, APIs, testing, and observability Hands-on experience with data-intensive systems and complex data pipelines BSc in Computer Science or equivalent practical experience AI Fluency: A genuine early adopter of emerging AI technologies — continuously explores new tools and paradigms, integrates them into practice ahead of the curve, and actively drives that culture within their team Applies AI tooling to elevate engineering quality: accelerating development cycles, improving code quality, automating repetitive work, and pushing the boundaries of what the team ships Raises the bar around them: inspires and challenges peers to think differently about how AI can change the way they build OTHER REQUIREMENTS: Deep experience with Python and MongoDB Experience with Google Cloud data technologies (BigQuery, Bigtable) Hands-on with Docker, Kubernetes, and Infrastructure as Code Exposure to AI/ML-adjacent systems: data pipelines, feature stores, model serving, or analytics platforms Experience integrating or building on top of LLM APIs or AI services Familiarity with frontend frameworks or full-stack collaboration WHY JOIN PLACER.AI? Join a rocketship! We are pioneers of a new market that we are creating Take a central and critical role at Placer.ai Work with, and learn from, top-notch talent Competitive salary Excellent benefits Hybrid NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER Placer.ai's $100M round C funding (unicorn valuation!) See our data in action at The Anchor Placer.ai in the news Video: About Placer for Commercial Real Estate Video Playlist: Placer Brand & Exp
