Senior AI Ops EngineerAI

About The Role

We are looking for a Senior AI Ops Engineer to join our AIOps team and help build the AI-powered platforms, agents, and workflows that enable engineering teams across HiBob.

This is a hands-on role for someone who can take AI solutions from idea to production, build the infrastructure around them, and create the observability needed to understand and improve how they behave in the real world.

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 RAG, MCP integrations, tool calling, and guardrails.

Build and evolve an AI SDLC 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 LLM-as-a-judge, to improve the reliability and quality of AI systems.

Design and maintain the infrastructure, CI/CD 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

Requirements are often considered a measure of how equipped you are to do the job, but sometimes they aren’t the only factor. If you don’t have all the skills, we’d still like to hear from you. This could be the perfect fit for you and us.

5+ years of experience in DevOps, Platform Engineering, SRE, or similar infrastructure-focused roles

Strong coding experience in Python, Go is an advantage

Hands-on experience building or operating production LLM applications and agentic workflows