Staff Software Engineer - Builder Platform

New

JobgetherAI infrastructure

Work remotely from United StatesFull-TimeStaff

Salary not disclosed

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Job Details

Demonstrated experience leading the design, development, deployment, and operation of production-quality internal platforms or developer tools.
Experience architecting and scaling workflow automation systems or internal tools used across teams or organizations.
Hands-on experience with AI-powered coding and agentic development tools such as Codex and Claude Code.
Proficiency in at least one of Go, TypeScript/JavaScript, Python, or Java.
Strong understanding of software architecture, distributed systems, platform engineering, and reliable, scalable internal infrastructure.
Experience designing tools and platforms that improve developer productivity and simplify engineering workflows.
Strong understanding of AI infrastructure and agentic workflows, including architectural patterns and operational safeguards.
Ability to make pragmatic technical decisions balancing standardization, flexibility, security, reliability, and maintainability.
Ability to lead cross-functional initiatives and translate ambiguous requirements into scalable solutions.
Ability to use quantitative data and qualitative feedback to define success metrics and evaluate platform impact.
Strong written communication skills for technical documentation, enablement materials, and self-service resources.
Leadership and mentoring abilities; previous experience building AI agents or operating agent platforms is preferred.
Experience with Temporal or similar workflow orchestration technologies is preferred.

Own the strategy, architecture, development, and operation of the internal Agent Platform.
Design and maintain scalable infrastructure for AI agents and automated workflows.
Architect LLM and MCP gateways with guardrails, fallbacks, usage monitoring, cost controls, and model rollout policies.
Build and operate agents and workflows that automate engineering and business processes.
Develop and improve source control systems, CI, and internal engineering tools.
Partner with cross-functional stakeholders to identify opportunities for AI adoption and workflow automation.
Create best practices, enablement resources, documentation, and standardized agent workflows.
Measure platform usage, reliability, operational efficiency, infrastructure costs, and productivity improvements.
Translate internal platform insights into product feedback and contribute to open-source reference architectures.
Mentor engineers, provide technical guidance, and participate in the on-call rotation.

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