RAG & Agentic AI Systems Engineer

PT Sustainable Living Lab; Kota Bandung; On-site; IDR 400,000,000 - 800,000,000; Full time

Job summary

SL2 Group in Indonesia seeks an AI Application Engineer to build the AI layer of our products: retrieval systems, LLM orchestration, and the evaluation harness that keeps them reliable in production. You will work in a two-person engineering pair with a web developer, start with retrieval and single-turn generation, then extend to multi-step agentic workflows and human-in-the-loop approvals.

Our working language is English; you will collaborate with colleagues in Singapore and with international

Qualifications

• English proficiency required, spoken and written.
• 2+ years building production software with at least 1 year shipping LLM-based apps.
• Strong Python and FastAPI experience.
• Hands-on with LLM APIs (Anthropic/OpenAI/Google).
• Experience with RAG: chunking, embeddings, vector stores, and reranking.
• Experience with tool calling, structured output, and schemas.
• Familiarity with PostgreSQL, Git, Docker, and CI/CD.

Responsibilities

• Design and build retrieval-augmented generation (RAG) pipelines end to end.
• Develop and maintain the LLM orchestration layer and prompts.
• Build and own an evaluation harness for regression testing.
• Design agentic capabilities: planning, memory, and human approval checkpoints.
• Monitor cost, latency, and model routing; enforce ceilings for autonomous loops.
• Expose the AI layer via a documented, versioned API for the web app.
• Document architecture decisions and share knowledge with the team.

Skills

LLM/AI systems

Python

FastAPI

RAG pipelines

Cost & latency budgeting

English proficiency

problem solving

team collaboration

Tools

PostgreSQL

Git

Docker

CI/CD

Job description

SL2 Group in Indonesia seeks an AI Application Engineer to build the AI layer of our products: retrieval systems, LLM orchestration, and the evaluation harness that keeps them reliable in production. You will work in a two-person engineering pair with a web developer, start with retrieval and single-turn generation, then extend to multi-step agentic workflows and human-in-the-loop approvals.

Our working language is English; you will collaborate with colleagues in Singapore and with international