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 systemsBuild them yourselfSet the bar for everyone elseIf you haven't personally shipped production AI systems end-to-end, this role will not be a fit.Build Real SystemsDesign and ship production RAG pipelines (end-to-end)Build multi-agent systems used by real clientsIntegrate LLMs into production workflows (not prototypes)Own backend systems (FastAPI, multi-tenant, secure)Deploy with Docker + CI/CD + cloudMeasure and improve output quality before anything shipsSet the StandardDefine how AI systems are built at BoldEstablish architecture patterns, prompting standards, and data flowsOwn code quality and reviews — nothing ships without your approvalChoose tools, frameworks, and infrastructureMentor engineers and raise the performance bar across the teamNon-Negotiable RequirementsAdvanced to fluent English — written and spokenAbility to explain technical concepts clearly to non-technical stakeholders: clients, founders, business ownersProfessional written communication across emails, Slack, documentation, and status updatesComfortable on video calls and async communication with a U.S.-based teamRAG (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 productionYou've debugged real issues (hallucination, low recall, bad retrieval)You've built multi-tenant systems with clean data separationYou know how to measure and improve output qualityCore Engineering5+ years Python in production3+ years building AI/LLM systems used by real usersLangChain / LangGraph in production (not tutorials)Experience designing multi-agent systemsStrong backend experience (FastAPI or equivalent)Docker, CI/CD, cloud deploymentSecurity fundamentals (auth, secrets, isolation)Strong written English (clear, direct, professional)Proven ability to set and enforce engineering standardsStrong Signals (Highly Valued)LlamaIndex, hybrid search, or re-ranking modelsRAG over complex data (PDFs, tables, images)Open-source LLMs (Ollama, vLLM)MLOps, evaluation, monitoringVoice AI pipelinesExperience leading technical direction for a teamClient-facing delivery experienceYou 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 detailExplain your architectural decisionsBuild a working RAG pipelineShow how you think, not just what you knowAI-First. Standards-First.
Delivery-First. We build systems that ship, scale, and earn trust.