Lead AI Engineer & Technical Architect (Remote)

Bold Business; Taguig; On-site; PHP 1,200,000 - 2,400,000; Full time

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 rebuilding how businesses operate in the AI era. We build AI-Amplified Talent™, custom AI agents, and automation systems for clients like AT&T, JP Morgan, and Verizon — and we back every engagement. If you want to build things that ship and matter, you'll fit right in.

About Bold Business

Bold Business is an AI-first U.S. based global workforce solutions company rebuilding how businesses operate in the AI era. We build AI-Amplified Talent™, custom AI agents, and automation systems for clients like AT&T, JP Morgan, and Verizon — and we back every engagement. If you want to build things that ship and matter, you'll fit right in.

The Role

You are 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
• Set the bar for everyone else

If you haven’t personally shipped production AI systems end-to-end, this role will not be a fit.

What You’ll Do

Build Real Systems

• Design and ship production RAG pipelines (end-to-end)
• Build multi-agent systems used by real clients
• Integrate LLMs into production workflows (not prototypes)
• Own backend systems (FastAPI, multi-tenant, secure)
• Deploy with Docker + CI/CD + cloud
• Measure and improve output quality before anything ships

Set the Standard

• Define how AI systems are built at Bold
• Establish architecture patterns, prompting standards, and data flows
• Own code quality and reviews — nothing ships without your approval
• Choose tools, frameworks, and infrastructure
• Mentor engineers and raise the performance bar across the team

Non-Negotiable Requirements

English communication — non-negotiable

• Advanced to fluent English — written and spoken
• Ability to explain technical concepts clearly to non-technical stakeholders: clients, founders, business owners
• Professional written communication across emails, Slack, documentation, and status updates
• Comfortable on video calls and async communication with a U.S.-based team

RAG (This Defines the Role)

• You have shipped 2+ production RAG systems (not demos)
• You can explain every decision (chunking, embeddings, retrieval, re-ranking)
• You’ve worked with vector databases in production
• You’ve debugged real issues (hallucination, low recall, bad retrieval)
• You’ve built multi-tenant systems with clean data separation
• You know how to measure and improve output quality

Core Engineering

• 5+ years Python in production
• 3+ years building AI/LLM systems used by real users
• LangChain / LangGraph in production (not tutorials)
• Experience designing multi-agent systems
• Strong backend experience (FastAPI or equivalent)
• Docker, CI/CD, cloud deployment
• Security fundamentals (auth, secrets, isolation)
• Strong written English (clear, direct, professional)
• Proven ability to set and enforce engineering standards

Strong Signals (Highly Valued)

• LlamaIndex, hybrid search, or re-ranking models
• RAG over complex data (PDFs, tables, images)
• Open-source LLMs (Ollama, vLLM)
• MLOps, evaluation, monitoring
• Voice AI pipelines
• Experience leading technical direction for a team
• Client-facing delivery experience

Who You Are

• You build and think in systems, not just features
• You don’t wait to be unblocked — you solve it
• You care about clean, scalable systems in production
• You can explain complex systems simply
• You push standards higher, even when it’s uncomfortable

Experience:

5-8 years Proof: Live systems with real users (required)

How We Evaluate You

We will ask you to:

• Walk through a system you built in detail
• Explain your architectural decisions
• Build a working RAG pipeline
• Show how you think, not just what you know

Bold Business

AI-First. Standards-First. Delivery-First.

We build systems that ship, scale, and earn trust.