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Hi, I'm Georgios Agrafiotis, a Senior AI Engineer with 7+ years of production software engineering experience, focusing on LLM applications, multi-agent workflows, retrieval-augmented generation (RAG) systems, and cloud-native AI backends. I have shipped GenAI solutions from prototype to production on AWS, Azure, and Vertex AI, owning system architecture, API design, orchestration, observability, CI/CD, and infrastructure. I enjoy turning complex problems into reliable, scalable AI systems that deliver measurable business value. My work spans designing agentic frameworks, memory management for context continuity, and implementing robust guardrails and human-in-the-loop processes. I'm passionate about collaborating with product and engineering teams to ship secure, observable AI systems at scale. I thrive on solving challenging AI and ML problems in collaboration with cross-functional teams, designing architectures that are resilient, observable, and easy to operate in production. My focus areas include multi-agent orchestration, RAG-powered backends, and cloud-native deployments across AWS, Azure, and Google Vertex AI.…Hi, I'm Georgios Agrafiotis, a Senior AI Engineer with 7+ years of production software engineering experience, focusing on LLM applications, multi-agent workflows, retrieval-augmented generation (RAG) systems, and cloud-native AI backends. I have shipped GenAI solutions from prototype to production on AWS, Azure, and Vertex AI, owning system architecture, API design, orchestration, observability, CI/CD, and infrastructure. I enjoy turning complex problems into reliable, scalable AI systems that deliver measurable business value. My work spans designing agentic frameworks, memory management for context continuity, and implementing robust guardrails and human-in-the-loop processes. I'm passionate about collaborating with product and engineering teams to ship secure, observable AI systems at scale. I thrive on solving challenging AI and ML problems in collaboration with cross-functional teams, designing architectures that are resilient, observable, and easy to operate in production. My focus areas include multi-agent orchestration, RAG-powered backends, and cloud-native deployments across AWS, Azure, and Google Vertex AI.

Georgios Agrafiotis

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I'm Georgios Agrafiotis, a Senior AI Engineer with 7+ years of production software engineering experience, focusing on LLM applications, multi-agent workflows, retrieval-augmented generation (RAG) systems, and cloud-native AI backends. I have shipped GenAI solutions from prototype to production on AWS, Azure, and Vertex AI, owning system architecture, API design, orchestration, observability, CI/CD, and infrastructure. I enjoy turning complex problems into reliable, scalable AI systems that deliver measurable business value. My work spans designing agentic frameworks, memory management for context continuity, and implementing robust guardrails and human-in-the-loop processes. I'm passionate about collaborating with product and engineering teams to ship secure, observable AI systems at scale. I thrive on solving challenging AI and ML problems in collaboration with cross-functional teams, designing architectures that are resilient, observable, and easy to operate in production. My focus areas include multi-agent orchestration, RAG-powered backends, and cloud-native deployments across AWS, Azure, and Google Vertex AI.…Hi, I'm Georgios Agrafiotis, a Senior AI Engineer with 7+ years of production software engineering experience, focusing on LLM applications, multi-agent workflows, retrieval-augmented generation (RAG) systems, and cloud-native AI backends. I have shipped GenAI solutions from prototype to production on AWS, Azure, and Vertex AI, owning system architecture, API design, orchestration, observability, CI/CD, and infrastructure. I enjoy turning complex problems into reliable, scalable AI systems that deliver measurable business value. My work spans designing agentic frameworks, memory management for context continuity, and implementing robust guardrails and human-in-the-loop processes. I'm passionate about collaborating with product and engineering teams to ship secure, observable AI systems at scale. I thrive on solving challenging AI and ML problems in collaboration with cross-functional teams, designing architectures that are resilient, observable, and easy to operate in production. My focus areas include multi-agent orchestration, RAG-powered backends, and cloud-native deployments across AWS, Azure, and Google Vertex AI.

Available to hire

Hi, I’m Georgios Agrafiotis, a Senior AI Engineer with 7+ years of production software engineering experience, focusing on LLM applications, multi-agent workflows, retrieval-augmented generation (RAG) systems, and cloud-native AI backends. I have shipped GenAI solutions from prototype to production on AWS, Azure, and Vertex AI, owning system architecture, API design, orchestration, observability, CI/CD, and infrastructure. I enjoy turning complex problems into reliable, scalable AI systems that deliver measurable business value. My work spans designing agentic frameworks, memory management for context continuity, and implementing robust guardrails and human-in-the-loop processes. I’m passionate about collaborating with product and engineering teams to ship secure, observable AI systems at scale.

I thrive on solving challenging AI and ML problems in collaboration with cross-functional teams, designing architectures that are resilient, observable, and easy to operate in production. My focus areas include multi-agent orchestration, RAG-powered backends, and cloud-native deployments across AWS, Azure, and Google Vertex AI.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Greek, Modern

Fluent

Work Experience

Senior AI Engineer at OpsFleet

February 1, 2026 - Present

Architected a custom MCP server for a multi-tenant SaaS dynamic pricing platform, exposing internal and external agent tools through a shared authentication and authorization layer. Built an internal agent service linking pricing predictions with model traces and LLM-generated explanations for auditable price changes. Implemented OpenTelemetry instrumentation for the pricing agent and integrated Groundcover for traces and alerts to simplify production debugging. Engineered a LangChain-based multi-agent workflow on Amazon Bedrock AgentCore to investigate financial trade settlement exceptions, leveraging AgentCore Observability and CloudWatch alerts. Established CI/CD pipelines and Terraform-based infrastructure for pricing and reconciliation services.

Senior AI Engineer at Andersen Lab

November 1, 2025 - Present

Shipped an agentic chatbot for a restaurant booking platform enabling natural-language search, modification, and completion flows. Built an event-driven AI backend for CSV batch processing, combining business rules, taxonomy mapping, and LLM-assisted reasoning to classify and standardize uploaded data. Implemented CI/CD, Azure Bicep infrastructure, and Azure Monitor alerts for production AI workloads. Collaborated with product and engineering teams across two AI projects, owning system architecture, API design, backend implementation, deployment, and operational follow-through. Led 150+ technical interviews for mid-level and senior AI Engineers, and aligned architecture decisions with AWS AI Competency requirements.

Senior AI Engineer at XGS.AI

October 1, 2025 - October 1, 2025

Took a POC RAG chatbot into production-ready service, owning the service architecture, API layer, LangGraph orchestration, and integration with existing agent workflow. Migrated model and database calls to asynchronous workflows and added memory to improve context continuity across conversations. Implemented throttling and quota handling for provider rate limits; deployed through CI/CD pipelines to Azure Container Apps. Added OpenTelemetry tracing, custom filters, and alerts to monitor agent behavior and production failure cases.

AI Engineer at Archeiothiki S.A.

October 1, 2024 - October 1, 2025

Designed Sheet-Agent, a multi-agent system for user-requested spreadsheet transformations and repetitive Excel workflows. Fine-tuned multimodal LLMs for structured data extraction from Greek legal, insurance, and healthcare documents to improve retrieval workflows. Deployed LLMs locally with vLLM for on-prem inference and used Vertex AI for scalable fine-tuning and deployment.

AI/ML Engineer at Information Technologies Institute (ITI)

June 1, 2021 - October 1, 2024

Built and deployed AI services for EU-funded projects across security, telecom, mobility, and healthcare, turning notebook prototypes into containerized FastAPI services. Developed an AI-enabled intrusion detection system using language-model-based network representations and transfer learning. Led ML lifecycle across datasets, model training and evaluation, API integration, Docker packaging, CI/CD, and technical delivery documentation.

Software Developer at THESS S.A.

May 1, 2019 - June 1, 2021

Designed and implemented a custom C++ CAD application including a geometry engine, modeling features, GUI workflows, and mesh generation for high-resolution human-head models. Built an FEM solver for Transcranial Magnetic Stimulation simulations and performed EM/RF modeling and safety validation of medical implants using Sim4Life and Python post-processing scripts.