Senior AI Software Engineer

- 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

Join Placer.ai, 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.