Lead AI Engineer & Technical Architect (Remote)

Bold Business

Województwo małopolskie

On-site

PLN 254,022 - 381,033

Full time

14 days+

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Job summary

Bold Business in Poland is seeking a talented AI Systems Builder with 5-8 years of experience in building scalable and robust AI applications. You'll be responsible for designing and shipping production systems, establishing code quality standards, and mentoring teams. Required skills include extensive experience in Python, building AI systems, and excellent communication in English. You will play a crucial role in setting the technical direction for projects and collaboration in a U.S.-based team environment.

Qualifications

  • Advanced to fluent English — written and spoken.
  • 5+ years of Python in production.
  • 3+ years building AI/LLM systems used by real users.

Responsibilities

  • Architect and build production RAG pipelines.
  • Set coding standards and review code quality.
  • Mentor engineers and improve team performance.

Skills

Python
AI systems
Backend experience
Docker
CI/CD
Clear communication

Tools

LangChain
FastAPI

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
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