AI Platform Engineer - Observability

AI Platform Engineer Observability (Remote)

Company: Fluid AI

Location: Remote (India)
Experience: 1–5 Years

Fluid AI is looking for an AI Platform Engineer – Observability to build the monitoring, debugging, tracing, and performance capabilities of our enterprise Agentic AI Platform. You’ll work across Python services, JavaScript applications, Kubernetes infrastructure, and AI workflows to provide deep visibility into how our platform operates in production. Your work will help engineers and customers understand system behavior, identify bottlenecks, troubleshoot issues, and improve the reliability of autonomous AI systems.

This is a platform engineering role focused on building developer tools, observability infrastructure, and performance capabilities that power enterprise-scale AI deployments.

• Design and build observability capabilities for the Fluid AI Agentic Platform.
• Instrument Python backend services, JavaScript applications, and Kubernetes workloads.
• Implement distributed tracing, metrics, and logging across AI agents, APIs, databases, and enterprise integrations.
• Build dashboards and visualization tools to monitor platform health and AI workflow execution.
• Develop debugging, profiling, and diagnostics tools for autonomous AI systems.
• Investigate production issues, identify root causes, and improve system reliability and performance.
• Integrate and extend observability technologies such as Open Telemetry, Grafana, Prometheus, Loki, Tempo, and Jaeger.
• Collaborate with platform and product engineering teams to improve developer experience and operational excellence.

• 1–5 years of software engineering experience.
• Strong programming skills in Python and/or JavaScript/Type Script.
• Experience building backend services or distributed applications.
• Understanding of REST APIs, Linux, and networking fundamentals.
• Strong debugging, analytical, and problem-solving skills.
• Interest in performance engineering, monitoring, and distributed systems.

• FastAPI, Node.js, React, or Next.js.
• Docker and Kubernetes.
• Experience with Open Telemetry or distributed tracing.
• Experience with Grafana, Prometheus, Loki, Tempo, Jaeger, or similar observability platforms.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Exposure to LLMs, AI platforms, or agentic AI systems.

• Build the observability layer for a cutting-edge enterprise Agentic AI Platform.
• Work on modern technologies spanning AI, distributed systems, cloud infrastructure, and Kubernetes.
• Solve challenging engineering problems involving performance, scalability, and reliability.
• Shape the developer experience and operational tooling used to power enterprise AI deployments.
• Join a fast-growing team building AI solutions for leading enterprises across banking, financial services, manufacturing, and the public sector.