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Open nowPosted 126 days ago

Lead AI Engineer & Technical Architect (Remote)

Bold Business43 open roles

Where
US
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Your applicationOpen nowLead AI Engineer & Technical Architect (Remote)Bold Business · US

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 126 days ago

The posting

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.

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