Realtime Platform Engineer for AI Agents

Kulu; Denpasar; On-site; Confidential; Full time

Job summary

Kulu is building an AI agent platform in Bali and seeks an engineer to own the live-meeting infrastructure and reliability. You will work closely with the CTO and AI Product Engineer to ensure fast, observable, and deployable systems, tackling issues like race conditions, streaming reliability, and secure data handling.

The role focuses on maintaining the realtime pipeline, streaming sessions, and deployment tooling, with opportunities to extend into React surfaces and security-focused

Qualifications

• 5+ years of production experience in platform engineering, DevOps, SRE, or backend infra.
• Strong programming skills in Python (asyncio) and Bash scripting.
• Hands-on production experience with real-time media infrastructure (WebRTC, LiveKit, Daily, Agora).

Responsibilities

• Design, build, and maintain Kulu's real-time platform across WebRTC, LLM sessions, and Python backend.
• Own reliability, performance, and observability of core services and telemetry.
• Own the LLM streaming session layer, including connection lifecycle, streaming, and tool-call plumbing.
• Manage deployment and infrastructure across AWS and CI/CD pipelines; drive IaC (OpenTofu).
• Maintain production platform and respond to incidents; feed learnings into runbooks and IaC.
• Develop backend (Python/FastAPI/PostgreSQL/Redis) and ship frontend surfaces when needed.
• Handle sensitive meeting data with privacy and auditability.
• Contribute to architectural decisions focusing on correctness, data integrity, and security.

Skills

Python (asyncio)

FastAPI

Bash scripting

AWS (ECS)

CI/CD pipelines

Terraform/OpenTofu

PostgreSQL

Redis

Monitoring (Prometheus/Grafana)

Security best practices

React/TypeScript

English communication

Tools

LiveKit

Daily

Agora

Pipecat

WebRTC

Terraform/OpenTofu

Job description

Kulu is building an AI agent platform in Bali and seeks an engineer to own the live-meeting infrastructure and reliability. You will work closely with the CTO and AI Product Engineer to ensure fast, observable, and deployable systems, tackling issues like race conditions, streaming reliability, and secure data handling.

The role focuses on maintaining the realtime pipeline, streaming sessions, and deployment tooling, with opportunities to extend into React surfaces and security-focused