09/26/2026 updated
100 % available
Applied AI Engineer | Agentic Systems & LLM Integration
Gdynia, Poland
Only remote
Applied AI & LLM Systems
Expertise in Model Context Protocol (MCP) server design in Python with 6+ servers built, agentic workflow orchestration, LLM tool and function-calling, RAG and retrieval pipelines using SQLite FTS and vector search, prompt and tool-schema design, structured outputs, guardrails, output evaluation, and LLM APIs including Anthropic, 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 for macOS and iOS, Python with Flask and 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, Docker, Terraform for IaC, Azure DevOps CI/CD, Chef, Git, and GCP including Cloud Run, Firestore, and GCS.
Reliability, Security & Compliance
Grafana observability, incident, problem and change management following ITIL, on-call operations managing 25+ customer environments at 99.9% uptime, cut deploy time by 40%, SOC and SIEM using Splunk, EDR/XDR with Tanium, least-privilege and sensitive-data governance, GDPR and PCI DSS compliance.
Cybersecurity & SOC Operations
Defensive incident response in a SOC environment using Splunk, Tanium EDR/XDR, and Palo Alto across diverse log sources, with experience in data archiving projects moving 100 TB+ of 1.5 PB to lower-tier storage and authoring SOPs.
Data Center & Infrastructure Operations
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.
SaaS Application Operations
Operating and deploying SaaS applications across customer and internal environments on Microsoft Azure, building and running CI/CD release pipelines in Azure DevOps, automating routine operations with PowerShell, and containerizing workloads with Docker and Kubernetes.
Agentic Automation & Breadth
LLM-in-the-loop launchd automations including vision-based screenshot renamer, nightly health pipeline, LLM-written daily digest from local SQLite, SuperCommuter with SwiftUI iOS using RAPTOR routing and hand-rolled GTFS-RT, and StarMatch as a Next.js own venture.
Expertise in Model Context Protocol (MCP) server design in Python with 6+ servers built, agentic workflow orchestration, LLM tool and function-calling, RAG and retrieval pipelines using SQLite FTS and vector search, prompt and tool-schema design, structured outputs, guardrails, output evaluation, and LLM APIs including Anthropic, 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 for macOS and iOS, Python with Flask and 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, Docker, Terraform for IaC, Azure DevOps CI/CD, Chef, Git, and GCP including Cloud Run, Firestore, and GCS.
Reliability, Security & Compliance
Grafana observability, incident, problem and change management following ITIL, on-call operations managing 25+ customer environments at 99.9% uptime, cut deploy time by 40%, SOC and SIEM using Splunk, EDR/XDR with Tanium, least-privilege and sensitive-data governance, GDPR and PCI DSS compliance.
Cybersecurity & SOC Operations
Defensive incident response in a SOC environment using Splunk, Tanium EDR/XDR, and Palo Alto across diverse log sources, with experience in data archiving projects moving 100 TB+ of 1.5 PB to lower-tier storage and authoring SOPs.
Data Center & Infrastructure Operations
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.
SaaS Application Operations
Operating and deploying SaaS applications across customer and internal environments on Microsoft Azure, building and running CI/CD release pipelines in Azure DevOps, automating routine operations with PowerShell, and containerizing workloads with Docker and Kubernetes.
Agentic Automation & Breadth
LLM-in-the-loop launchd automations including vision-based screenshot renamer, nightly health pipeline, LLM-written daily digest from local SQLite, SuperCommuter with SwiftUI iOS using RAPTOR routing and hand-rolled GTFS-RT, and StarMatch as a Next.js own venture.
Languages
EnglishFluentPolishNative speaker
Project history
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. As Data Analyst, led a data-archiving project moving 100 TB+ of 1.5 PB to lower-tier storage for cost optimization, authored SOPs, and drove least-privilege access for sensitive data under GDPR and PCI DSS.
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.