Senior AI Software Engineer

Placer.ai

New York, United States Posted October 7, 2026

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Remote Full-time Senior
Salary Range

€160,000 - €190,000

Job Description

Join , a fast-moving AI-native company, as a Senior AI Software Engineer. In this hybrid role, you'll build the AI platform that drives productivity across the organization. You'll design and ship AI solutions, develop integrations, and optimize the internal AI stack. This is an opportunity to make a significant impact and see your work adopted by hundreds of people within days.

  • Contribuir al desarrollo de la plataforma PlacerX, incluyendo la creación de agentes, conectores, automatización e infraestructura.
  • Desarrollar y mejorar el uso de Claude y Databricks, impulsando las capacidades y el impacto de estas herramientas en la empresa.
  • Diseñar, construir y desplegar servidores MCP para integraciones SaaS externas y herramientas internas de Placer, asegurando su seguridad y cumplimiento.
  • Familiarity with Databricks or similar DW/DLs is a plus
  • Experience building and deploying services to Kubernetes or equivalent container infrastructure
  • 8+ years of backend engineering experience
  • Solid understanding of REST APIs, OAuth 2.0, and credential management, including Google Cloud auth patterns (gcloud, service accounts)
  • 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)
  • Prior experience with MCP servers, LLM tool use, or AI agent frameworks
  • Prior experience in data engineering or analytics tooling
  • 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
Required Skills
agents Databricks Kubernetes REST API OAuth Google Cloud Platform communication LLM data engineering
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