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HiBob

HRIS platform for onboarding and payroll

Senior AI Ops Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeIsrael

About the Job

Requirements

  • At least 5 years of experience in DevOps, Platform Engineering, Site Reliability Engineering, or similar infrastructure-focused roles.
  • Strong coding experience in Python; Go experience is an advantage.
  • Hands-on experience building or operating production large language model applications and agentic workflows.
  • Experience with LangGraph, LangChain, Supervisor, or similar frameworks.
  • Experience building AI software development lifecycle platforms or harnesses supporting the full lifecycle of AI-assisted software delivery.
  • Experience with AI observability and evaluation; Langfuse, OpenTelemetry, and large language model-as-a-judge approaches are preferred.
  • Experience with AWS, Kubernetes, Helm, and GitOps continuous integration and continuous delivery tools such as GitHub Actions and ArgoCD.
  • Experience building internal developer platforms, developer experience tooling, or engineering automation.
  • Strong ownership, problem-solving skills, and ability to lead cross-team initiatives.

Responsibilities

  • Build and operate production-grade AI agents, AI-enabled tools, and workflows that empower developers and operational teams.
  • Design agentic systems using frameworks such as LangGraph, LangChain, and Supervisor, including retrieval-augmented generation, Model Context Protocol integrations, tool calling, and guardrails.
  • Build and evolve an AI software development lifecycle harness that helps teams plan, implement, validate, govern, and safely deliver AI-assisted software changes.
  • Lead AI observability with Langfuse and OpenTelemetry, including tracing, evaluations, quality measurement, and cost analysis.
  • Build automated evaluation frameworks, including large language model-as-a-judge, to improve the reliability and quality of AI systems.
  • Design and maintain the infrastructure, continuous integration and continuous delivery pipelines, GitOps workflows, and security controls that support AI services.
  • Develop internal developer tooling and automation that removes friction across the engineering organization.
  • Partner with engineering and product teams to turn real operational challenges into scalable AI-powered solutions.

Desired Qualifications

  • Experience with retrieval-augmented generation, knowledge bases, Model Context Protocol, tool calling, and AI guardrails.
  • Experience with Terraform/OpenTofu, Crossplane, and the wider Argo ecosystem.
  • Experience with Datadog, Prometheus, service mesh technologies, or large-scale distributed systems.

About the Company

HiBob

HRIS platform for onboarding and payroll

HiBob is a cloud-based HRIS platform that offers Bob, a suite of HR tools including time and attendance, onboarding, payroll, compensation, performance, and analytics to manage a global workforce. It works as a subscription SaaS accessed via web or mobile, and it integrates with tools like Slack and Microsoft Teams to streamline workflows such as time-off requests and reviews. It differentiates itself by serving fast-growing, globally distributed teams with a user-friendly, single platform that emphasizes employee experience and strong remote-work capabilities. Its goal is to help modern organizations optimize HR operations, boost productivity and engagement, and simplify people management as teams scale.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$881M
Headquarters
New York City, New York
Founded
2015

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