Senior AI Software Engineer

we are looking for a Senior AI Software Engineer.As a Senior AI Software Engineer, you'll help build that platform end to end - the agents, connectors, automation, and infrastructure that let the entire company unlock major productivity gains. You'll be designing and shipping AI that takes real work off people's plates, turning manual processes into automated ones, and building the systems that let teams do their best work faster.Developing our use of Claude and Databricks - currently the backbone of that internal AI stack - is a key part of the mandate. Every one of our 500 team members already uses Claude and BI in Databricks for analysis, automation, and research, and demand for deeper integrations is growing faster than our R&D team can deliver.

You'll be tasked with driving these capabilities and impact to the next level - from surface-level usage to genuinely agentic, high-leverage workflows embedded across the business.This is a hybrid role: part platform engineer, part internal-facing integration lead. You'll report to the COO and partner across AI Operations, R&D, Data Science, GTM, and other teams, owning the path from integration request to production-grade system. You'll also help build the triage and review process so the broader org can self-serve safely.If you want to build the AI backbone of a fast-moving company - and see your work adopted by hundreds of people within days rather than quarters - this is that role.Requirements: 8 years of backend engineering experiencePrior experience with MCP servers, LLM tool use, or AI agent frameworksPrior 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 infrastructureFamiliarity with Databricks or similar DW/DLs is a plusComfort working without an existing playbook - AI platform work at Placer is new; role definition, standards, and tooling will evolveStrong communication skills; you'll regularly translate between business requests and engineering requirementsComfortable navigating competing priorities across R&D Architecture (standards), AI Enablement (rollout), and business teams (requests)This position is open to all candidates.