Lead AI Engineer & Technical Architect (Remote)

Randstad (Schweiz) AG; Taguig; Remote; PHP 9,253,546 - 14,188,771; Full time

Job summary

Bold Business is seeking a senior engineer to be the technical standard-setter and primary builder for AI systems used in production. You will architect systems, build them end-to-end, and set the bar for the team by enforcing architecture patterns, data flows, and prompting standards.

You will lead initiatives to deploy production RAG pipelines, multi-agent architectures, and secure backend systems. Strong English communication and prior experience shipping real AI solutions are essential.

Qualifications

• 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
• Shipped 2+ production RAG systems (not demos) and can explain decisions (chunking, embeddings, retrieval, re-ranking)
• Experience with vector databases in production
• Built multi-tenant systems with data separation
• Measured and improved output quality in production systems

Responsibilities

• Architect systems for AI platforms in production
• Build them end-to-end and ship production AI systems
• Set engineering standards and review code to ensure quality
• Define architecture patterns, data flows, and prompting standards
• Mentor engineers and raise team performance
• Own backend systems (FastAPI, multi-tenant, secure)
• Deploy with Docker, CI/CD, and cloud infrastructure
• Measure and improve output quality before shipping

Skills

Python production

AI/LLM systems

LangChain / LangGraph

Backend systems

Security fundamentals

Engineering standards

Tools

LangChain

LangGraph

FastAPI

Vector databases

CI/CD

Cloud platforms

Job description

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

• 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)
• Strong backend experience (FastAPI or equivalent)
• Security fundamentals (auth, secrets, isolation)
• 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)
• MLOps, evaluation, monitoring
• Experience leading technical direction for a team

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

• Walk through a system you built in detail
• 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.