Senior Software Engineer; Placer Intelligence

• 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
• 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

• Work with, and learn from, top-notch talent
• Fully remote

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 trust
10+ years of software engineering, shipping customer-facing products in production

Clear communicator with both technical and non-technical people

Comfortable with ambiguity: you work independently and know when to ask for help Strong full-stack fundamentals:
Python (FastAPI or similar), React and Type Script, relational databases and SQL, and shipping containerized services to the cloud

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

Hands-on experience shipping LLM-powered features: context engineering (prompts, retrieval, tools, memory), evals, handling model failures, and AI system architecture

Strong product sense: you understand the user’s problem, care about the experience, and push back when something doesn’t feel right

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

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