Senior AI Platform Engineer — Remote, Equity Eligible

placerlabs; United States; Remote; USD 160,000 - 190,000; Full time

Benefits offered by this job

Fully remote

Medical/dental/vision coverage

Job summary

You will design multi-step agents, secure access to systems, deploy integrations, and advance BI data usability in AI workflows. This fully remote role offers a competitive US base salary with equity potential.

Qualifications

• At least eight years of backend engineering experience.
• Experience with MCP servers, LLM tool use, or AI agent frameworks.
• Background in data engineering or analytics tooling.
• Strong understanding of REST APIs, OAuth 2.0, and credential management, including Google Cloud authentication patterns such as service accounts.
• Experience deploying services to Kubernetes or comparable container infrastructure.
• Strong communication skills and the ability to translate business requests into engineering requirements while balancing competing priorities.
• Comfortable working in a developing platform area where practices, standards, and tooling are still taking shape.

Responsibilities

• Design agents that carry out multi-step tasks using reasoning, tools, and decision logic, with autonomous or human-reviewed execution as appropriate.
• Build secure ways for agents to access business systems and internal knowledge, including tool interfaces, retrieval, and MCP servers.
• Develop and deploy integrations for external services and custom internal tools, connecting data sources through to user-facing workflows.
• Improve internal AI and analytics capabilities, including making business intelligence data more usable by AI workflows.
• Build usage tracking so teams can understand adoption and identify valuable use cases.
• Improve platform performance and cost efficiency, and implement identity, encryption, audit, and compliance safeguards.

Skills

Backend engineering

MCP servers

LLM tool use

Data engineering

REST APIs/OAuth2

Kubernetes

Communication

Job description

You will design multi-step agents, secure access to systems, deploy integrations, and advance BI data usability in AI workflows. This fully remote role offers a competitive US base salary with equity potential.