AI-Native Backend Engineer for LLM Apps

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

LLM app experience

Cloud tooling (AWS, K8s, CI/CD)

Unlimited Claude Code quota

Job summary

Dada Consultants Pte Ltd in Singapore is hiring for a backend engineer focused on building scalable backend services and AI-native workflows for LLM/Agent products. You will design backend APIs, state management, and task orchestration with robust auth, quotas, and data pipelines.

You'll integrate Prompt, Skills, MCP, and Tools to turn experimental models into reliable products, using Golang and/or Python, Docker, K8s, CI/CD, and cloud platforms to ship production-grade systems.

Qualifications

• Proficient in Golang and/or Python, with experience delivering complete backend systems.
• Strong fundamentals in API design, auth, task scheduling, caching, logging, microservices, and databases such as MySQL/Postgres/Redis/MongoDB.
• Curious about AI-native development and latest AI technologies.
• High standards for code quality, testing, documentation, and collaboration.

Responsibilities

• Design backend APIs, task orchestration, state management, and streaming responses for LLM/Agent products.
• Build scalable services covering auth, quotas, caching, async tasks, governance, monitoring, and data pipelines.
• Integrate Prompt, Skills, MCP, and Tools to turn experimental models into stable products.
• Explore AI-native development, Harness Engineering, and Agentic Workflows with Claude Code.

Skills

Golang

Python

API design

Auth

Task scheduling

Caching

Microservices

Databases

Tools

Docker

Kubernetes

CI/CD

Prometheus Grafana

AWS

Job description

Dada Consultants Pte Ltd in Singapore is hiring for a backend engineer focused on building scalable backend services and AI-native workflows for LLM/Agent products. You will design backend APIs, state management, and task orchestration with robust auth, quotas, and data pipelines.

You'll integrate Prompt, Skills, MCP, and Tools to turn experimental models into reliable products, using Golang and/or Python, Docker, K8s, CI/CD, and cloud platforms to ship production-grade systems.