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Placer.ai is seeking an experienced Software Engineer with deep GenAI expertise to lead our AI product solutions and development efforts. You will drive the technical vision and architecture of our AI-powered location intelligence platform, building production-ready solutions that transform how businesses understand location data.
You will oversee the full-stack development of our conversational AI system, from LLM integration to real-time interfaces, while establishing the technical foundation
If you are a technical leader with 10+ years of software development experience, proven success in production GenAI environments, and a passion for building scalable AI platforms that deliver measurable business impact, we want to hear from youHigh EQ: you listen well, read what stakeholders really need, and can disagree while keeping trust10+ years of software engineering, shipping customer-facing products in productionClear communicator with both technical and non-technical peopleComfortable with ambiguity: you work independently and know when to ask for helpStrong full-stack fundamentals: Python (FastAPI or similar), React and TypeScript, relational databases and SQL, and shipping containerized services to the cloudAn AI-native workflow: you plan before prompting, work in small reviewable steps, give your agents good context, use tests as the safety net, and can tell when their output is wrongHands-on experience shipping LLM-powered features: context engineering (prompts, retrieval, tools, memory), evals, handling model failures, and AI system architectureStrong product sense: you understand the user’s problem, care about the experience, and push back when something doesn’t feel rightStrong system design: data modeling, API design, and production systems that stay reliable, fast, and secure as they grow. You can explain the trade-offs behind your choicesDemonstrated use of AI tools to work more efficiently—whether professionally or personally—and a curiosity for finding new ways to apply themComfort integrating generative AI into day-to-day workflows to boost productivity, quality, and output