AI Engineer (RAG & Agents)

Sabrixa; Hinoba-an; On-site; PHP 1,000,000 - 1,800,000; Full time

Job summary

Sabrixa is hiring a hands-on AI systems engineer to build grounded RAG systems, agent workflows, and robust AI features that stay accurate, with confirm-before-save safeguards.

You will design retrieval pipelines, integrate LLMs with documents and structured data, and work with engineering to ship real products, not just demos, while documenting failure modes and monitoring costs.

Qualifications

• Hands-on experience with LLM APIs and at least one RAG stack.
• Proficiency in Python and/or TypeScript for service code.
• Understanding of chunking, embeddings, evals, and prompt failure modes.
• Bias toward grounding answers in customer-approved sources.

Responsibilities

• Build grounded RAG systems, agent workflows, and AI features that stay accurate.
• Design retrieval pipelines, evaluation sets, and tool-using agents for client and product use cases
• Integrate LLMs safely with documents, structured data, and human approval steps
• Partner with engineering to ship AI into real products (not demos only)
• Document failure modes, costs, and monitoring for production systems

Skills

LLM APIs

RAG stack

Python

TypeScript

Chunking

Embeddings

Eval metrics

Prompt failure modes

AWS

Azure

GCP

WhatsApp integration

Tools

AWS

Azure

GCP

Job description

Build grounded RAG systems, agent workflows, and AI features that stay accurate - confirm-before-save, not hallucinate-and-hope.

• Design retrieval pipelines, evaluation sets, and tool-using agents for client and product use cases
• Integrate LLMs safely with documents, structured data, and human approval steps
• Partner with engineering to ship AI into real products (not demos only)
• Document failure modes, costs, and monitoring for production systems

What you bring

• Hands-on experience with LLM APIs and at least one RAG stack
• Python and/or TypeScript for service code
• Understanding of chunking, embeddings, evals, and prompt failure modes
• Bias toward grounding answers in customer-approved sources

Nice to have

• AWS, Azure, or GCP deployment for AI services
• Prior work on WhatsApp or document automation