Lead AI Engineer & Technical Architect (Remote)

Bold Business; Warszawa; On-site; PLN 80,000 - 110,000; Full time

Job summary

Bold Business is looking for an experienced technical builder to design and implement AI systems in Warsaw, Poland. The ideal candidate will have 5–8 years of experience, with proven skills in Python, creating production RAG pipelines, and strong English communication abilities. You'll be responsible for setting standards in engineering and mentoring the team. This is an exciting opportunity to influence the AI landscape and build impactful solutions.

Qualifications

• 5+ years experience in Python.
• 3+ years building AI/LLM systems for real users.
• Experience designing multi-agent systems.

Responsibilities

• Architect systems and build production RAG pipelines.
• Define AI systems architecture and establish quality standards.
• Mentor engineers and lead technical direction.

Skills

Python

AI systems design

English communication

Multi-agent systems

Tools

FastAPI

Docker

LangChain

Job description

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

• 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