Senior AI Software Engineer

🕒 September 22

🇺🇸 United States – Remote

💵 $160k - $190k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 5%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 AI agents that execute reliable multi-step workflows using reasoning, tool calls, and decision-making • Design, build, and deploy MCP servers for external SaaS integrations and Placer.ai internal tools • Build secure OAuth and credential-management infrastructure for connector authentication • Define and apply production-readiness standards for MCP servers, including security, Kubernetes deployment, logging, and access controls • Triage connector requests and bug reports and distinguish rollout-critical work from backlog • Build and maintain Cowork plugins and Claude skills for Marketing, Operations, Data, and other workflows • Automate manual and repetitive processes using Claude • Own and improve Placer.ai’s internal Databricks BI environment, including data restructuring and ingestion pipelines • Build tooling to track internal AI usage, adoption, and high-value use cases • Optimize compute, storage, networking, performance, and cost across the internal AI platform • Implement AI platform security practices including identity management, encryption, and compliance monitoring • Partner across AI Operations, R&D, Data Science, GTM, and other teams • Report to the COO and own the path from integration request to production-grade system • Help establish triage and review processes enabling safe self-service across the organization

🎯 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 • Experience with Google Cloud authentication patterns, including gcloud and service accounts • Experience building and deploying services to Kubernetes or equivalent container infrastructure • Familiarity with Databricks or similar data warehouses/data lakes is a plus • Comfort working without an existing playbook and adapting as role definition, standards, and tooling evolve • Strong communication skills for translating business requests into engineering requirements • Ability to navigate competing priorities across R&D Architecture, AI Enablement, and business teams • Demonstrated use of AI tools and curiosity about applying them in new ways • Comfort integrating generative AI into day-to-day workflows • No educational credential explicitly required

🏖️ Benefits

• Competitive salary • Excellent benefits • Fully remote • Medical coverage • Dental coverage • Vision coverage • Flexible time off • 401K • Equity awards for certain roles • Opportunity to work with and learn from top-notch talent • Central and critical role at Placer.ai

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