Senior Software Engineer, Placer Intelligence

Placer.ai is seeking a Senior Software Engineer to lead AI product solutions and development for its location intelligence platform. The role drives technical vision and architecture while building full-stack conversational AI capabilities, including LLM integrations, agentic workflows, and real-time interfaces.

Responsibilities

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

Preferred

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

AI Tool Proficiency

Generative AI Integration

Workflow Optimization

Productivity Improvement

Curiosity

Adaptability

Benefits

Work with, and learn from, top-notch talent

Fully remote

Certain roles have the opportunity to earn sales-based commissions

Medical, dental and vision coverage

Flexible time off

401K

Equity awards for certain roles

Company

Location intelligence and foot traffic analytics platform

Santa Cruz, California, USA

https://www.placer.ai/

Founded in 2013

501-1000 employees

Qualifications

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

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

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

Required skills

API Design, Cloud Deployment, Containerization, Context Engineering, Data Modeling, FastAPI, LLM Application Development, LLM Evaluation, Python, React, Relational Databases, SQL, System Design, TypeScript

Experience

10+ years