Lead AI Engineer & Technical Architect (Remote)
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.
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.
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
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)
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
AI-First. Standards-First. Delivery-First. We build systems that ship, scale, and earn trust.