07/24/2026 updated
100 % available
Applied AI Engineer - Agentic Systems & LLM Integration
Gdańsk, Poland
Only remote
RAGApplication Programming Interfaces (APIs)Application Lifecycle ManagementData GovernanceMessaging Application Programming InterfaceSystems IntegrationEnterprise Application IntegrationLayered SystemsGenerative AIRestful ApiArtificial Intelligence Markup Language (AIML)
Applied AI & LLM Systems
Design and implementation of Model Context Protocol (MCP) servers in Python (6+ built), agentic workflow orchestration with LLM tool and function-calling (daily Claude Code pipeline), RAG and retrieval pipelines (SQLite FTS in production, embeddings and vector search), prompt and tool-schema design, structured outputs, guardrails and output evaluation, as well as LLM APIs including Anthropic and OpenAI, and open models such as Llama, Mistral and LangChain.
AI Product Engineering
End-to-end solo delivery of LLM-integrated applications using Next.js 15, TypeScript, Tailwind, Swift, SwiftUI (macOS and iOS), Python (Flask, async services), REST APIs, HMAC auth, SQLite with full-text search, and monetization via direct DMG and Lemon Squeezy.
Cloud, DevOps & Delivery
Hands-on experience with Microsoft Azure, Kubernetes and Docker, Terraform (IaC), Azure DevOps CI/CD, Chef, Git, and GCP (Cloud Run, Firestore, GCS) for building and operating production-grade cloud infrastructure.
Reliability, Security & Compliance
Grafana observability, incident, problem and change management (ITIL), on-call operations across 25+ customer environments at 99.9% uptime, cut deploy time by 40%, SOC and SIEM (Splunk), EDR/XDR (Tanium), least-privilege and sensitive-data governance, GDPR and PCI DSS compliance.
Cybersecurity & SOC Operations
Defensive incident response on Splunk, Tanium (EDR/XDR) and Palo Alto across diverse log sources, authoring SOPs and driving least-privilege access for sensitive data in regulated enterprise environments.
Data Archiving & Governance
Leadership of a data-archiving project moving 100 TB+ of 1.5 PB to lower-tier storage for storage-cost optimization, with a data-governance mindset that makes LLM systems trustworthy in regulated enterprises.
Infrastructure & Systems Administration
Data-center operations on high-availability infrastructure including Linux and Windows administration, networking, and on-call incident response on co-located hardware, power, cooling and links.
Agentic Automation & Breadth
LLM-in-the-loop launchd automations (vision-based screenshot renamer, nightly health pipeline, LLM-written daily digest from local SQLite), SwiftUI iOS routing with RAPTOR and GTFS-RT (SuperCommuter), and Next.js own-venture product (StarMatch).
Design and implementation of Model Context Protocol (MCP) servers in Python (6+ built), agentic workflow orchestration with LLM tool and function-calling (daily Claude Code pipeline), RAG and retrieval pipelines (SQLite FTS in production, embeddings and vector search), prompt and tool-schema design, structured outputs, guardrails and output evaluation, as well as LLM APIs including Anthropic and OpenAI, and open models such as Llama, Mistral and LangChain.
AI Product Engineering
End-to-end solo delivery of LLM-integrated applications using Next.js 15, TypeScript, Tailwind, Swift, SwiftUI (macOS and iOS), Python (Flask, async services), REST APIs, HMAC auth, SQLite with full-text search, and monetization via direct DMG and Lemon Squeezy.
Cloud, DevOps & Delivery
Hands-on experience with Microsoft Azure, Kubernetes and Docker, Terraform (IaC), Azure DevOps CI/CD, Chef, Git, and GCP (Cloud Run, Firestore, GCS) for building and operating production-grade cloud infrastructure.
Reliability, Security & Compliance
Grafana observability, incident, problem and change management (ITIL), on-call operations across 25+ customer environments at 99.9% uptime, cut deploy time by 40%, SOC and SIEM (Splunk), EDR/XDR (Tanium), least-privilege and sensitive-data governance, GDPR and PCI DSS compliance.
Cybersecurity & SOC Operations
Defensive incident response on Splunk, Tanium (EDR/XDR) and Palo Alto across diverse log sources, authoring SOPs and driving least-privilege access for sensitive data in regulated enterprise environments.
Data Archiving & Governance
Leadership of a data-archiving project moving 100 TB+ of 1.5 PB to lower-tier storage for storage-cost optimization, with a data-governance mindset that makes LLM systems trustworthy in regulated enterprises.
Infrastructure & Systems Administration
Data-center operations on high-availability infrastructure including Linux and Windows administration, networking, and on-call incident response on co-located hardware, power, cooling and links.
Agentic Automation & Breadth
LLM-in-the-loop launchd automations (vision-based screenshot renamer, nightly health pipeline, LLM-written daily digest from local SQLite), SwiftUI iOS routing with RAPTOR and GTFS-RT (SuperCommuter), and Next.js own-venture product (StarMatch).
Languages
EnglishFluentPolishNative speaker
Project history
Built 6+ MCP servers in Python exposing real APIs and tools to LLM agents (Apple-services suite, Polish and EU law search with RAG over Sejm ELI and EUR-Lex, SQLite FTS, a 41-tool Ableton Live server, a headed-Chromium finance scraper, Things3, Obsidian) wired into a daily agentic Claude Code workflow. Delivered Spedytor (freight-forwarding admin panel, Next.js 15 + TypeScript, solo end-to-end). Building Lumen, a native macOS photo and video studio in Swift/SwiftUI with LLM-integrated features and monetization underway. Additional agentic automations: SuperCommuter (SwiftUI iOS, RAPTOR routing + GTFS-RT) and StarMatch (Next.js, own venture).
Operated and deployed SaaS applications across customer and internal environments on Microsoft Azure in a 10-person Application Operations team. Built and ran CI/CD release pipelines in Azure DevOps, automated routine operations with PowerShell, containerized workloads with Docker and Kubernetes, and maintained Grafana monitoring and alerting. Supported 25+ customer environments at 99.9% uptime, cut release deployment time by 40% through pipeline automation, and resolved 60+ incidents/month under ITIL. Windows Server, Active Directory, ServiceNow.
In the SOC: defensive incident response on Splunk, Tanium (EDR/XDR) and Palo Alto across diverse log sources. Earlier, as Data Analyst, led a data-archiving project moving 100 TB+ of 1.5 PB to lower-tier storage for storage-cost optimization, authored SOPs and drove least-privilege access for sensitive data (GDPR / PCI DSS).