Senior AI Platform Engineer

🕒 5 days ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Placer.ai

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

💼 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.

📋 Description

• Architect agents that don't just answer questions but do work • Give agents secure, governed access to the systems and data they need to act • Design, build, and deploy MCP servers across two tracks • Build the OAuth and credential management layer • Work with R&D Architecture to define production-ready standards for Placer MCP server • Triage incoming connector requests and bug reports from across the company • Build and maintain Cowork plugins and Claude skills • Take ownership of Placer's internal BI environment on Databricks • Build and maintain tooling to track internal AI tools usage • Optimize compute, storage, and networking across the internal AI platform • Implement security best practices for AI platforms

🎯 Requirements

• 8+ years of backend engineering experience • Prior experience with MCP servers, LLM tool use, or AI agent frameworks • Prior experience in data engineering or analytics tooling; • Solid understanding of REST APIs, OAuth 2.0, and credential management, including Google Cloud auth patterns (gcloud, service accounts) • Experience building and deploying services to Kubernetes or equivalent container infrastructure • Familiarity with Databricks or similar DW/DLs is a plus • Comfort working without an existing playbook — AI platform work at Placer is new; role definition, standards, and tooling will evolve • Strong communication skills; you'll regularly translate between business requests and engineering requirements • Comfortable navigating competing priorities across R&D Architecture (standards), AI Enablement (rollout), and business teams (requests)

🏖️ Benefits

• Competitive salary • Excellent benefits • Flexible time off • Medical coverage • Dental coverage • Vision coverage • 401K • Equity awards for certain roles