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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Placer Intelligence - **Company:** PLACER LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $160,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Application Programming Interfaces (APIs), Artificial Intelligence, Code Review, Relational Databases, Cursor, Software Debugging, Python (Programming Language), Software Product Management, Software Engineering, TypeScript, ReactJS, Large Language Models, Claude Code, AI Coding Agents, Fastapi, Api Design - **Published:** October 1, 2026 - **Apply:** https://startup.jobs/senior-software-engineer-placer-intelligence-placerai-10242826 ## About the Role * 10+ years of software engineering, shipping customer-facing products in production. * Strong full-stack fundamentals: Python (FastAPI or similar), React and TypeScript, relational databases and SQL, and shipping containerized services to the cloud. * Strong 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 choices. * Hands-on experience shipping LLM-powered features: context engineering (prompts, retrieval, tools, memory), evals, handling model failures, and AI system architecture. * An 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 wrong. * Strong product sense: you understand the user's problem, care about the experience, and push back when something doesn't feel right. * High EQ: you listen well, read what stakeholders really need, and can disagree while keeping trust. * Clear communicator with both technical and non-technical people. * Comfortable with ambiguity: you work independently and know when to ask for help. NICE TO HAVES: * Demonstrated use of AI tools to work more efficiently-whether professionally or personally-and a curiosity for finding new ways to apply them. * Comfort integrating generative AI into day-to-day workflows to boost productivity, quality, and output. ## Description What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist., We are seeking an experienced Software Engineer, with deep GenAI expertise to lead our AI product solutions and development efforts. In this role, you will be responsible for driving the technical vision and architecture of our AI-powered location intelligence platform, building production-ready solutions that transform how businesses understand and leverage location data. You will oversee the full-stack development of our conversational AI system, from LLM integration and agentic workflows to real-time streaming interfaces, while establishing the technical foundation for our next-generation business intelligence tools. 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 you., * Work closely with product, design, and customers. Bring an engineer's view of what to build and how, not just take tickets. * Turn vague requirements into clear technical plans, and adjust as you learn. * Design, build, and ship production features across the full stack: APIs, data models, services, and UI. * Make architecture decisions that balance speed now against maintainability later. * Build AI-powered capabilities into the product: LLM features, retrieval, agents, and tool-calling flows (including MCP), with scoped permissions and failure recovery. * Build evals from real user questions so every prompt or model change is measured before it ships. * Protect AI features against prompt injection, personal-data leaks, and made-up answers. * Keep production healthy: monitoring and tracing (including AI cost and latency), debugging from real traces, and fixing what breaks. * Use AI coding tools (Claude Code, Cursor, or similar) as a core part of how you work, and own the quality, tests, and reliability of what ships. * Raise the engineering bar through code review, sharing what works with AI tools, and improving the team's workflow. ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Build your backend using FastAPI](https://www.wearedevelopers.com/videos/506-build-your-backend-using-fastapi) - [".Net is too slow" was not an option](https://www.wearedevelopers.com/videos/100176-net-is-too-slow-was-not-an-option) - [You are not an AI developer](https://www.wearedevelopers.com/videos/1148-you-are-not-an-ai-developer) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Under the Hood of Building on Lovable](https://www.wearedevelopers.com/videos/100032-under-the-hood-of-building-on-lovable) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)