Senior Platform Engineer (AI)

Location: Mountain View, US; hybrid with in-office work required 2 days per week

Salary: $228,000–$279,000 base salary annually, plus equity and benefits

Company

hirify.global builds earned wage access products that provide real-time financial flexibility for people living paycheck to paycheck.

What you will do

• Design, build, and operate production AI agents for operational workflows, including incident triage, environment provisioning, configuration generation, and developer self-service.
• Apply governance patterns for model selection, evaluation, safety, prompt versioning, tool management, and infrastructure-as-code for agentic systems.
• Operate and improve highly available distributed systems on AWS, addressing performance, scalability, stability, observability, and automated remediation.
• Evolve the Cortex developer control plane with AI-powered service scaffolding, deployment debugging, natural-language issue resolution, and secure golden paths.
• Document architecture and operational procedures, participate in on-call rotations, and use post-mortems to improve reliability and automation.
• Mentor less experienced engineers and collaborate with engineering, product, security, Staff engineers, and management.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in cloud infrastructure for large-scale, highly available, customer-facing distributed systems.
• Experience mentoring junior engineers and leading well-scoped platform initiatives.
• Hands-on experience building and operating production AI-driven systems, including agentic workflows that perform operational tasks and reduce toil.
• Strong knowledge of AWS, including EKS, Lambda, and Bedrock, plus containerized and serverless architectures.
• Solid Kubernetes expertise at scale and the ability to implement complex, resilient solutions with guidance from senior or Staff engineers.
• Strong knowledge of Terraform and Ansible, including traditional infrastructure-as-code and agentic automation.
• Strong command of Datadog and observability practices, using metrics to drive decisions.
• Adherence to security, privacy, and compliance practices, including model safety, prompt-injection prevention, data isolation, governance, guardrails, audit logging, and LLM data governance.
• Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, CrewAI, or custom agentic architectures, plus production prompt engineering.
• Strong coding ability in Python and/or Go, treating infrastructure and agentic systems as software.
• Ability to collaborate across engineering, product, and security teams.
• Applicants must be currently authorized to work in the United States.
• New visa sponsorship is unavailable; H-1B and O-1 employer transfers are supported, but candidates working pursuant to OPT or CPT are not considered.

Nice to have

• Experience building AI-driven alerting or root-cause analysis systems.
• Experience with service mesh technologies such as Linkerd or Istio and traffic management at scale.
• Proficiency with GitOps, including Argo CD or Flux CD, and CI/CD orchestration with GitHub Actions or Argo Workflows.
• Experience with MLOps or LLMOps, including model versioning, evaluation frameworks, and production AI monitoring.

Culture & Benefits

• Full-time employment with base salary, equity, and benefits.
• Hybrid work arrangement based in Mountain View with two required office days per week.
• Inclusive workplace focused on diversity, belonging, and representing the community served.
• Participation in an on-call rotation is required.