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.
About Bold Business:
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.
Bold Business recruiters always use a “@boldbusiness.com” email address and/or from our Applicant Tracking System, Greenhouse. Any variation of this email domain should be considered suspicious. Additionally, Bold Business recruiters and authorized representatives will never request sensitive information in email or via text.
