AI Observability Engineer – GenAI & Agentic AI

Job Description

AI Observability Engineer – GenAI & Agentic AI
We’re looking for an experienced AI Observability Engineer to support the development and production of next-generation GenAI and Agentic AI systems.

This is a great opportunity for someone with a background in Observability, SRE, MLOps, Platform Engineering, AI/ML or Test Automation who wants to work on cutting-edge AI technology.

Key Responsibilities:
Build telemetry, monitoring, dashboards, alerts, tracing and SLOs for AI/LLM applications and agents
Develop LLM and AI evaluation frameworks covering response quality, prompts, RAG, latency, reliability and safety
Analyse production behaviour and identify improvements to AI quality, performance and reliability
Automate production readiness, reporting and governance processes
Create runbooks and operational documentation for AI releases
Work closely with Engineering and Product teams to define monitoring and evaluation requirements

Experience:
~4+ years’ engineering experience across observability, monitoring, platform engineering, SRE, AI/ML or test automation
~ Strong hands-on Python experience
~ Experience with metrics, logs, traces, dashboards, alerting and SLOs
~ Understanding of LLMs, AI agents, RAG or AI evaluation
~ Experience supporting production systems

If you’re an AI Observability Engineer, GenAI Engineer, SRE, MLOps Engineer, Platform Engineer or AI/ML Engineer looking to work on production Agentic AI systems, we’d love to hear from you.