Senior AI Mobile Engineer (React Native + LLMs)

Nityo Infotech Indonesia; Jakarta Pusat; On-site; IDR 360,000,000 - 720,000,000; Full time

Job summary

Nityo Infotech Indonesia seeks an AI-focused architect to design and deploy production AI solutions with modern frontend and robust backend services. You will lead LLM integration, RAG pipelines, and scalable API design in a cloud-native environment.

Ideal candidates have hands-on AI application development experience, strong DevOps skills, and a proactive, ownership-driven approach to delivering secure, production-grade software across teams.

Qualifications

• Direct hands-on experience building AI applications with LLM integration and RAG pipelines.
• Deep experience with backend integration, API design and cloud-native backend development (Python preferred).
• Proven DevOps skills: Docker, Kubernetes, CI/CD, and cloud platforms (GCP preferred).
• Familiarity with AI orchestration frameworks and vector databases.
• Self-directed with strong problem-solving and stakeholder communication.

Responsibilities

• End-to-End AI Integration: Architect, build, and deploy production-grade AI solutions with React Native frontend and cloud-native backend services.
• LLM & Agent Workflow Engineering: Implement LLM capabilities using Gemini, OpenAI, Claude and RAG workflows.
• Orchestration & Backend Development: Design scalable APIs, orchestration frameworks, vector DBs, and knowledge retrieval systems.
• Cloud-Native Deployment: Containerize services with Docker/Kubernetes and manage CI/CD pipelines on cloud infrastructure with monitoring.
• Autonomous Execution: Own technical deliverables and translate product concepts into production-ready apps.

Skills

AI Architecture

Backend APIs

DevOps & Cloud

AI Tooling

Ownership & Communication

Tools

LangChain

LangGraph

n8n

Copilot Studio

Vertex AI

Job description

Nityo Infotech Indonesia seeks an AI-focused architect to design and deploy production AI solutions with modern frontend and robust backend services. You will lead LLM integration, RAG pipelines, and scalable API design in a cloud-native environment.

Ideal candidates have hands-on AI application development experience, strong DevOps skills, and a proactive, ownership-driven approach to delivering secure, production-grade software across teams.