Production AI Systems Architect & RAG Lead

Bold Business

Taguig

On-site

PHP 1,200,000 - 2,400,000

Full time

11 days ago

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Job summary

Bold Business is an AI-first U.S.-based global workforce solutions company building AI-Amplified Talent™, custom AI agents, and automation systems for clients like AT&T, JP Morgan, and Verizon. You will be the technical standard-setter and primary builder for how AI systems are designed, built, and shipped at Bold.

You will architect systems, build them yourself, and set the bar for everyone else. If you haven’t shipped production AI systems end-to-end, this role will not be a fit.

Qualifications

  • 5-8 years of Python in production
  • Shipped production AI/LLM systems used by real users
  • Experience with LangChain/LangGraph in production
  • Experience building multi-agent systems
  • Strong backend experience (FastAPI or equivalent)
  • Docker, CI/CD, cloud deployment
  • Security fundamentals (auth, secrets, isolation)
  • Excellent written and spoken English

Responsibilities

  • Design and ship production RAG pipelines end-to-end
  • Build multi-agent systems used by real clients
  • Integrate LLMs into production workflows
  • Own backend systems (FastAPI, multi-tenant, secure)
  • Deploy with Docker, CI/CD and cloud
  • Measure and improve output quality before shipping
  • Define architecture patterns, prompting standards, data flows
  • Mentor engineers and raise performance bar

Skills

Python production
AI/LLM systems
LangChain production
Multi-agent systems
Backend FastAPI
Docker CI/CD
Security basics
Clear English
Engineering standards

Tools

LangChain
LangGraph
FastAPI

Job description

Bold Business is an AI-first U.S.-based global workforce solutions company building AI-Amplified Talent™, custom AI agents, and automation systems for clients like AT&T, JP Morgan, and Verizon. You will be the technical standard-setter and primary builder for how AI systems are designed, built, and shipped at Bold.

You will architect systems, build them yourself, and set the bar for everyone else. If you haven’t shipped production AI systems end-to-end, this role will not be a fit.

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