08/20/2026 updated
100 % available
Full-Stack Software & Applied-AI Engineer · SaaS · Web Platforms · Cloud
Patras, Greece
Only remote
University of Patras, Dept. of Mechanical Engineering & Aeronautics (expected end of 2027)AI AgentsSoftware as a ServiceCloud EngineeringSystems IntegrationWorkflowsCloud Platform SystemChatbotsFlaskBackendFull Stack DevelopmentFront End Software DevelopmentArtificial Intelligence Markup Language (AIML)
Full-Stack Web Development
Expertise in building production-ready web platforms end to end, covering backend with Python, Flask, FastAPI and REST/WebSockets, as well as frontend with React 18, Vite and responsive SPAs, including geospatial visualisation with MapLibre GL and Turf.js.
Applied AI & LLM Integration
Proficiency in integrating large language models (OpenAI, Ollama, Hugging Face) into production systems, including Retrieval-Augmented Generation pipelines with LangChain, vector search using FAISS and Qdrant, and agentic orchestration workflows.
Robotics & ROS 2
Hands-on experience developing operator-guidance systems embedded in robotic manufacturing cells using ROS 2 for task orchestration and real-time guidance over WebSockets, integrated with RAG pipelines and knowledge graphs.
Data & DevOps
Solid background in database management with PostgreSQL (JSONB), MongoDB, Neo4j and Appwrite, combined with containerisation using Docker & Compose, Nginx (TLS/WAF), Linux administration, CI/CD with GitHub Actions and VPS deployment.
Security & Compliance Engineering
Knowledge of OAuth2/OIDC (Auth0), JWT, RBAC, AES/Fernet encryption at rest, PBKDF2/bcrypt, CSRF protection, audit logging and GDPR data-retention practices applied in regulated SaaS platforms.
Cloud & Infrastructure
Experience deploying live production SaaS platforms on cloud VPS environments, containerised behind Nginx WAF, with automated regulatory PDF and GeoJSON export capabilities.
Geospatial Technologies
Practical use of MapLibre GL, Turf.js, GeoJSON and shapefiles for geospatial plotting and visualisation within multi-tenant B2B web platforms.
Multi-Agent Decision Support Systems
Development of decision-support systems scoring manufacturing scenarios on quality and sustainability indices, using LLM-based qualitative assessment with Qdrant RAG and deterministic energy/CO2 agents.
Programming Languages & Scripting
Fluency in Python, C++, JavaScript (ES6+), React/JSX, SQL, Cypher, HTML5/CSS3, Bash and YAML for diverse software engineering tasks across backend, frontend and infrastructure.
Expertise in building production-ready web platforms end to end, covering backend with Python, Flask, FastAPI and REST/WebSockets, as well as frontend with React 18, Vite and responsive SPAs, including geospatial visualisation with MapLibre GL and Turf.js.
Applied AI & LLM Integration
Proficiency in integrating large language models (OpenAI, Ollama, Hugging Face) into production systems, including Retrieval-Augmented Generation pipelines with LangChain, vector search using FAISS and Qdrant, and agentic orchestration workflows.
Robotics & ROS 2
Hands-on experience developing operator-guidance systems embedded in robotic manufacturing cells using ROS 2 for task orchestration and real-time guidance over WebSockets, integrated with RAG pipelines and knowledge graphs.
Data & DevOps
Solid background in database management with PostgreSQL (JSONB), MongoDB, Neo4j and Appwrite, combined with containerisation using Docker & Compose, Nginx (TLS/WAF), Linux administration, CI/CD with GitHub Actions and VPS deployment.
Security & Compliance Engineering
Knowledge of OAuth2/OIDC (Auth0), JWT, RBAC, AES/Fernet encryption at rest, PBKDF2/bcrypt, CSRF protection, audit logging and GDPR data-retention practices applied in regulated SaaS platforms.
Cloud & Infrastructure
Experience deploying live production SaaS platforms on cloud VPS environments, containerised behind Nginx WAF, with automated regulatory PDF and GeoJSON export capabilities.
Geospatial Technologies
Practical use of MapLibre GL, Turf.js, GeoJSON and shapefiles for geospatial plotting and visualisation within multi-tenant B2B web platforms.
Multi-Agent Decision Support Systems
Development of decision-support systems scoring manufacturing scenarios on quality and sustainability indices, using LLM-based qualitative assessment with Qdrant RAG and deterministic energy/CO2 agents.
Programming Languages & Scripting
Fluency in Python, C++, JavaScript (ES6+), React/JSX, SQL, Cypher, HTML5/CSS3, Bash and YAML for diverse software engineering tasks across backend, frontend and infrastructure.
Experience
Professional experience0 - 5 years
Freelancer since2024
Languages
EnglishFluentGreekBasic knowledge
Project history
Multi-tenant B2B platform automating EU Regulation due diligence for importers and their supply chains. Built with Python/Flask API, React 18 + ES-module frontends, PostgreSQL/Appwrite, MapLibre geospatial plotting, streaming LLM assistant, automated regulatory PDF/GeoJSON export. Hardened with Auth0 OIDC, JWT, Fernet AES, CSRF, encrypted PII and audit trail, containerised behind an Nginx WAF on a cloud VPS.
Local-first assistant that synthesises GitHub and Calendar activity into a morning brief and standup draft. Built with React + TypeScript, Tauri desktop shell and Flask/Docker web flavour, OS-keychain secret storage.
Decision-support system scoring manufacturing scenarios on quality and sustainability indices; LLM-based qualitative assessment (OpenAI/Ollama) with Qdrant RAG, deterministic energy/CO2 agents, FastAPI + MongoDB backend, containerised.