Senior AI Software Engineer

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $160 000 - $190 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de Placer.ai, pas via un site d'emploi

Repérée par Remote Rocketship il y a 1 mois

Toujours ouverte sur le site de Placer.ai. Vérifiée il y a 7 heures.

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Placer.ai

501 - 1000 employés

Fondée en 2016

💼 Conseil

📣 Marketing

🏨 Hôtellerie

Consulting • Marketing • Hospitality

Placer. ai est une entreprise spécialisée dans l'analyse de localisation qui fournit aux entreprises des informations sur la fréquentation piétonnière et le comportement des consommateurs basées sur les données de localisation du monde physique. Leur plateforme utilise des informations de localisation pour aider les secteurs du commerce de détail, de l'immobilier et de l'urbanisme à prendre des décisions éclairées. L'entreprise exploite les big data et des analyses avancées pour transformer les données de localisation en intelligence exploitable, améliorant ainsi l'efficacité du marketing, le choix des sites et l'efficacité opérationnelle.

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

🎯 Exigences

• 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

🏖️ Avantages

• 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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