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Senior Software Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

đź’µ $160k - $190k / year

⏰ Full Time

đźź  Senior

🧑‍💻 Full-stack Engineer

đź‘» Ghost score 1%

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Logo of Placer.ai

Placer.ai

501 - 1000 employees

Founded 2016

đź’Ľ Consulting

📣 Marketing

🏨 Hospitality

Consulting • Marketing • Hospitality

Placer. ai is a location analytics company that provides businesses with insights into foot traffic and consumer behavior based on physical world location data. Their platform utilizes location information to help retail, real estate, and city planning industries make informed decisions. The company leverages big data and advanced analytics to transform location data into actionable intelligence, driving improvements in marketing effectiveness, site selection, and operational efficiency.

đź“‹ Description

• Work closely with product, design, and customers to shape what to build and how • Turn vague requirements into clear technical plans and adjust them as needed • Design, build, and ship production features across APIs, data models, services, and UI • Make architecture decisions balancing immediate speed with long-term maintainability • Build AI-powered capabilities including LLM features, retrieval, agents, and MCP tool-calling flows with scoped permissions and failure recovery • Build evaluations from real user questions before prompts or model changes ship • Protect AI features against prompt injection, personal-data leaks, and fabricated answers • Maintain production health through monitoring, tracing, debugging, and fixing reliability, cost, and latency issues • Use AI coding tools such as Claude Code or Cursor while owning quality, testing, and reliability • Raise engineering standards through code reviews, knowledge sharing, and workflow improvements

🎯 Requirements

• 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 remain reliable, fast, and secure as they grow • Hands-on experience shipping LLM-powered features: context engineering, prompts, retrieval, tools, memory, evals, model failure handling, and AI system architecture • AI-native workflow using tests as a safety net and evaluating AI output • Strong product sense • High EQ and ability to maintain stakeholder trust • Clear communication with technical and non-technical people • Comfortable working independently amid ambiguity • Drug-free workplace requirement • Nice to have: demonstrated use of AI tools professionally or personally • Nice to have: experience integrating generative AI into day-to-day workflows

🏖️ Benefits

• Competitive salary • Excellent benefits • Fully remote • Medical, dental and vision coverage • Flexible time off • 401K • Equity awards for certain roles • Opportunity to earn sales-based commissions for certain roles • Work with, and learn from, top-notch talent

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