Lead AI Engineer & Technical Architect (Remote)

About Bold Business

Bold Business is an AI-first U.S.-based global workforce solutions company rebuilding how businesses operate in the AI era. The organization delivers AI-Amplified Talent, custom AI agents, and automation systems for major clients including AT&T, JP Morgan, and Verizon.

The Role

You are the technical standard-setter and primary builder for how AI systems are designed, built, and shipped at Bold. 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.

Responsibilities

• 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 shipping
• Define architecture patterns and prompting standards
• Own code quality and reviews
• Mentor engineers and raise the performance bar across the team

Non-negotiable RAG requirements

• 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)

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 (authentication, secrets, isolation)
• Proven ability to set and enforce engineering standards

Strong Signals (Highly Valued)

• LlamaIndex, hybrid search, re-ranking models
• RAG over complex data (PDFs, tables, images)
• Open-source LLMs (Ollama, vLLM)
• MLOps, evaluation, monitoring
• Voice AI pipelines
• Technical leadership experience
• Client-facing delivery background

Who You Are

• Build and think in systems, not just features
• Self-directed problem-solver
• Care about clean, scalable production systems
• Can explain complex systems simply
• Push standards higher despite discomfort

Non-negotiable communication

• Advanced to fluent English (written and spoken)
• Ability to explain technical concepts to non-technical stakeholders
• Professional written communication across multiple channels

Evaluation Process

• Walk through a detailed system built
• Explain architectural decisions
• Build a working RAG pipeline
• Demonstrate thinking process

Location: Remote — India, Latin America, Philippines.
Experience: 5-8 years. Live systems with real users required.