Platform Engineer

Staff Platform Engineer

Location:

Redwood City, CA Company Stage of Funding:
Series A / Agentic AI + Enterprise HR Technology Startup Office Type:
Hybrid (2 days/week in Redwood City, CA) Salary: $200,000 – $250,000 Base Equity:
Competitive Equity Bonus:
Competitive total compensation package Visa: H1B Transfer and TN-1 supported (No new H1B sponsorship)

Our client is building the next generation of agentic AI infrastructure for enterprise organizations.

The company develops AI agents that automate complex business workflows, improve employee productivity, and enable seamless human-AI collaboration across large organizations.

Founded in 2021 and led by the founding team behind Glint (acquired by Linked In), the company combines deep expertise in enterprise software, AI systems, and organizational technology.

Raised approximately $55M from top-tier investors including Norwest Venture Partners, True Ventures, and Shasta Ventures.

Recognized as one of the most innovative companies in HR technology and creator of Harper, an award-winning AI HR generalist platform.

The company is rebuilding HR infrastructure from the ground up with AI-native architecture rather than layering AI onto legacy software.

The platform combines:

• Agentic AI systems
• Multi-agent orchestration
• Memory architectures
• Retrieval systems
• LLM evaluation frameworks
• Human-in-the-loop workflows
• Enterprise automation
• AI-powered business process infrastructure

Engineering challenges involve building reliable production-grade AI systems, scalable distributed architectures, agent orchestration frameworks, memory systems, evaluation platforms, and enterprise workflow automation infrastructure.

The company is at a stage where engineers can have significant technical ownership while benefiting from strong product-market fit, substantial funding, and an experienced founding team.

The culture values technical excellence, ownership, collaboration, experimentation, and AI-native engineering practices.

• Build scalable agentic orchestration frameworks for enterprise workflow automation
• Develop AI infrastructure that integrates with complex enterprise systems
• Design and implement memory architectures and advanced retrieval systems
• Build systems that provide persistent context across multi-step agent workflows
• Develop AI harnesses focused on evaluation, reliability, observability, and reasoning quality
• Improve prompt optimization, hallucination reduction, and context management systems
• Design backend infrastructure powering multi-agent workflows
• Build human-in-the-loop systems that enable seamless human-AI collaboration
• Develop tooling for rapid experimentation and deployment of AI workflows
• Build distributed systems supporting large-scale enterprise AI applications
• Design scalable microservice architectures for AI-native platforms
• Work on vector database infrastructure and retrieval pipelines
• Implement asynchronous and parallel processing systems
• Drive architectural decisions across platform engineering initiatives
• Mentor engineers and provide technical leadership across projects
• Collaborate closely with product and engineering teams
• Help define long-term technical strategy and platform architecture
• Operate as a senior individual contributor with significant ownership
• Build production-grade AI systems that serve enterprise customers at scale

• 7–15 years of experience in platform engineering, backend infrastructure, or distributed systems engineering
• Current Staff Engineer or equivalent technical leadership experience
• Experience leading architecture and technical execution across engineering teams
• Strong distributed systems and platform engineering expertise
• Experience building production-grade AI or GenAI systems
• Strong proficiency in Python or Java
• Hands-on experience using AI tools in daily engineering workflows
• Experience with microservices architectures
• Experience with vector databases and retrieval systems
• Experience building asynchronous and parallel processing systems
• Experience designing scalable backend infrastructure
• Strong software engineering fundamentals and system design skills
• Experience operating production systems at…