Lead AI Engineer & Technical Architect (Remote)

Scalis LLC

Taguig

Remote

PHP 6,262,000 - 9,393,000

Full time

3 days ago
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Job summary

Bold Business is seeking a Lead AI Engineer & Technical Architect to define and ship production AI systems. You will architect, build, and deploy AI workflows, including RAG pipelines and multi-agent setups, for US-based clients. Strong emphasis on system thinking, engineering standards, and clear communication.

You will work with LangChain/LangGraph, FastAPI, and vector databases in a production environment, collaborating with a US-based team while coordinating across time zones.

Qualifications

  • 5+ years Python in production.
  • 3+ years building AI/LLM systems used by real users.
  • Experience shipping production RAG systems.
  • Ability to explain technical concepts clearly to non-technical stakeholders.

Responsibilities

  • Architect AI systems and set engineering standards.
  • Build AI systems end-to-end and ship production-grade solutions.
  • Deploy with Docker, CI/CD, and cloud infrastructure.
  • Define data flows and architecture patterns for scalable systems.

Skills

Advanced English
Systems thinking
Technical communication
Problem solving

Tools

FastAPI
LangChain/LangGraph
Vector databases
Docker
CI/CD

Job description

Lead AI Engineer & Technical Architect (Remote)

BOLD Business

4 months ago

On-Site

Full Time

Intermediate or Experienced

United States

India

Taguig, Philippines

About BOLD Business
About the job
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
  • 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)
  • Strong backend experience (FastAPI or equivalent)
  • Security fundamentals (auth, secrets, isolation)
  • 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)
  • MLOps, evaluation, monitoring
  • Experience leading technical direction for a team
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
  • 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 .

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