AI Platform Engineer — Self-Service ML & RAG

Fathom; As Sudiyah; On-site; OMR 12,000 - 24,000; Full time

Job summary

Fathom is building an AI platform that makes complex workflows accessible via a self-service UI. We’re seeking a mid-to-senior MLOps engineer to design infrastructure for the Intelligence layer, enabling model training, deployment, notebooks, and RAG pipelines.

You'll work at the intersection of platform engineering and ML infrastructure, deploying scalable GPU workloads, building observability, and aligning security and multi-tenancy with product goals.

Qualifications

• Mid-to-senior level MLOps or AI platform engineering experience.
• Hands-on Kubernetes experience with stateful workloads.
• Experience building ML platforms that support training, notebooks, feature/data workflows, and model registries.
• Familiarity with ML lifecycle tooling such as MLflow and CI/CD for ML systems.
• Strong software engineering fundamentals and a product-minded approach to platform design.
• Ability to simplify complex operational workflows for users.

Responsibilities

• Design and build the infrastructure powering our Intelligence layer.
• Enable automated workflows for model training, deployment, lifecycle management, and inference.
• Build scalable foundations for users to create and operate AI agents and RAG pipelines through the platform UI.
• Develop the platform capabilities behind notebooks, functions, experiments, training jobs, model registries, and serving endpoints.
• Improve model serving, observability, versioning, evaluation, promotion, and rollback capabilities.
• Optimize GPU inference and training deployments for performance, reliability, and cost efficiency.
• Explore efficient approaches for deploying models across centralized GPU infrastructure and edge devices.
• Automate workflows with a focus on safe, self-service capabilities for platform users.
• Partner with backend, product, and AI teams to turn complex infrastructure into intuitive platform features.
• Help define standards for security, multi-tenancy, resource isolation, model governance, and operational reliability.

Skills

MLOps

Kubernetes

Rust

Distributed systems

Platform engineering

Tools

KServe

vLLM

MLflow

LangFuse

Job description

Fathom is building an AI platform that makes complex workflows accessible via a self-service UI. We’re seeking a mid-to-senior MLOps engineer to design infrastructure for the Intelligence layer, enabling model training, deployment, notebooks, and RAG pipelines.

You'll work at the intersection of platform engineering and ML infrastructure, deploying scalable GPU workloads, building observability, and aligning security and multi-tenancy with product goals.