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% Cover Letter — HSP Group, Principal AI Engineer
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\begin{center}
  {\LARGE\textbf{Adam Ladachowski}} \\[4pt]
  {\small Warsaw, Poland \enspace|\enspace Remote \enspace|\enspace EU Citizen} \\[3pt]
  {\small
    \faIcon{envelope}\enspace\href{mailto:adam@saiden.dev}{adam@saiden.dev} \quad
    \faIcon{github}\enspace\href{https://github.com/aladac}{aladac} \quad
    \faIcon{linkedin}\enspace\href{https://linkedin.com/in/aladac}{aladac} \quad
    \faIcon{phone}\enspace\href{tel:+48535329895}{+48\,535\,329\,895}
  }
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\begin{flushleft}
{\small June 10, 2026}
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\vspace{2pt}

\textbf{Re: Principal AI Engineer --- HSP Group}

\vspace{4pt}

Dear Hiring Team,

I'm writing to express my interest in the Principal AI Engineer role at HSP Group. I build AI agent systems for a living --- not as demos, but as the primary way my team ships software. I believe that experience maps directly to what you're building at Gateway HR.

\textbf{What I bring:}

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  \item \textbf{Production agent orchestration.} I designed and operate a multi-host platform with specialist agents (code, infrastructure, communications) that dispatch tasks across machines, maintain persistent memory, and execute multi-step workflows autonomously. This isn't a proof-of-concept --- it's how I develop daily.

  \item \textbf{RAG at scale.} My semantic memory system (SQLite + vector embeddings, 5{,}500+ entries) powers hybrid retrieval across code, documentation, and operational knowledge. I've built the full pipeline: ingestion, chunking, embedding, hybrid FTS5/cosine search, and agent-facing retrieval APIs.

  \item \textbf{Multi-agent SDLC integration.} I run dedicated agents for GitHub automation (issues, PRs, project boards), infrastructure management, and communications --- operating in parallel, reporting to a dispatcher. The pattern you describe (separate agents for planning, coding, testing) is my daily workflow.

  \item \textbf{20 years of B2B SaaS.} Ruby/Rails across telecom, media, proptech, and event ticketing. I've built platforms from zero as sole engineer (Roomzilla), scaled them to 180K+ users across 90 countries (Jampack), and led teams through major refactors and migrations.

  \item \textbf{Open source proof of work.} Six public repositories demonstrating the stack: browser automation for AI agents, voice cloning, LoRA fine-tuning pipelines, and developer tooling --- all shipped and maintained at \href{https://repos.saiden.dev/aladac}{repos.saiden.dev/aladac}.

\end{itemize}

I'm drawn to HSP Group because you're applying AI to a domain with real regulatory complexity --- exactly the kind of problem where agents need guardrails, validation, and human oversight baked in from the start. The ``architects of intent'' philosophy you describe in the role is how I already work and how I believe engineering teams should evolve.

I'd welcome the opportunity to discuss how my experience building these systems from scratch can accelerate AI adoption across your engineering organization.

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Best regards,\\
Adam Ladachowski

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