Lead AI Engineer & Technical Architect (Remote)

Bold Business; Metro Manila; On-site; PHP 1,500,000 - 2,500,000; Full time

Job summary

Bold Business in the U.S.-based AI-first BPO sector is seeking a senior AI/LLM engineer who has shipped production systems end-to-end. You will architect, build, and standardize AI-driven workflows, including RAG pipelines and multi-agent architectures, for global clients.

Strong backend and cloud deployment skills are essential. The role emphasizes ownership, engineering standards, and clear communication with clients, founders, and stakeholders, with a focus on scalable, production-ready

Qualifications

• 5–8+ years of experience in Python production environments.
• 3+ years building AI/LLM systems in production with real users.
• Experience with LangChain or LangGraph in production.
• Designing multi-agent systems and RAG pipelines.

Responsibilities

• Architect production AI systems (RAG pipelines, multi-agent systems).
• Build and ship backend components (FastAPI, multi-tenant, secure).
• Define architecture patterns, prompting standards, and data flows.

Skills

Python production

AI/LLM systems

LangChain/ LangGraph

Multi-tenant architectures

Backend systems

Docker/CI-CD

Cloud deployment

Security fundamentals

Technical English writing

Engineering standards

Education

Bachelor's degree or equivalent in CS/CE/Math

Tools

FastAPI

Vector databases

Job description

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.

Bold Business is a US-based global business process outsourcing (BPO) firm with over 25 years of experience and $7B+ in client engagements. We help fast-growing companies scale through smart talent strategies, automation, and technology-driven solutions.

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

• 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.