AI Platform Engineer

Job Description

We are seeking a highly skilled

AI Platform Engineer

to design, build, and operate our next-generation

AI application platform . In this role, you will work on advanced AI systems including

Retrieval-Augmented Generation (RAG)

pipelines,

multi-model gateways ,

Model Context Protocol (MCP) tools ,

agentic workflow automations

(e.g., n8n), and secure chat interfaces such as

OpenWebUI or custom-built solutions .

You will be responsible for ensuring the

production readiness

of all platform components—covering

Infrastructure as Code (IaC) ,

CI / CD pipelines ,

Kubernetes orchestration ,

observability ,

cost optimization , and

governance . This role will work closely with

product, data, and security teams

to deliver scalable, secure, and high-performing AI-driven applications.

Key Responsibilities

Design, develop, and operate the company’s

AI application platform , including RAG pipelines, model gateways, MCP integrations, and agent workflows.

Build and maintain secure chat interfaces using

OpenWebUI

or custom UI components.

Own

IaC (Terraform, Helm, etc.) ,

CI / CD automation , and

Kubernetes -based deployments for all AI platform components.

Implement robust

observability

solutions (monitoring, logging, tracing) across the platform.

Ensure

platform reliability, uptime, and scalability

using SRE and DevOps best practices.

Optimize

compute, storage, and inference costs

while maintaining performance and quality.

Establish strong

governance , access control, and compliance processes across AI workloads.

Collaborate cross-functionally with

product, data science, engineering, and security

to deliver high-impact AI features and integrations.

Troubleshoot production issues and continuously improve the platform’s architecture and performance.

Required Skills & Qualifications

4–10+ years of experience in

software engineering, DevOps, or AI / ML platform engineering .

Strong hands-on programming experience in

Python, Go, or TypeScript .

Expertise with

Kubernetes , container orchestration, and cloud-native tooling.

Proficiency with

Terraform ,

Helm , or other IaC frameworks.

Experience building

RAG pipelines ,

LLM integrations , or similar AI workflows.

Familiarity with

n8n ,

LangChain ,

OpenWebUI , or custom chat interface frameworks.

Solid understanding of

observability tools

(Prometheus, Grafana, ELK, OpenTelemetry).

Experience with secure, production-grade deployments of AI or distributed systems.

Preferred Qualifications

Experience with multi-model routing, inference gateways, or vector databases.

Knowledge of MCP (Model Context Protocol) and related developer tooling.

Prior experience scaling AI or distributed systems in cloud environments (AWS, GCP, Azure).

Understanding of SRE principles, access governance, and security best practices.