Lead AI Engineer & Technical Architect (Remote) 3 months ago
On-Site
Full Time
Intermediate or Experienced
United States
India
Taguig, Philippines
About the jobThe 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 DoBuild 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 RequirementsEnglish 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
