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Andrei Stefanescu

@andreistefanescu

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Senior AI Engineer specializing in Generative AI, RAG, and AI agent systems.

Romania

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What I'm looking for

I’m looking to build and lead production Generative AI, RAG, and AI agent systems—combining strong backend engineering with MLOps, monitoring, and cloud-native deployment to deliver scalable, reliable AI products.

I’m a Senior AI Engineer with 9+ years of experience building AI, machine learning, and Generative AI solutions for enterprise applications. I focus on production-ready systems powered by Large Language Models (LLMs), AI Agents, and Retrieval-Augmented Generation (RAG).

I’ve led technical projects from architecture to deployment—designing RAG pipelines for natural-language search across documents and knowledge bases, and building AI agent workflows for document processing, information extraction, and automation. I also develop backend services and APIs to support AI workloads with reliable infrastructure.

My work spans model evaluation, monitoring, and observability for production systems, plus MLOps practices like experiment tracking, model versioning, and CI/CD. I build and deploy AI services across AWS and Azure using cloud-native, containerized approaches.

I enjoy mentoring engineers through code reviews and technical guidance, and I collaborate closely with product managers, engineers, and business stakeholders. My goal is to deliver scalable AI products that are accurate, maintainable, and measurable in real-world use.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

Kibit Solutions Ltd.

Feb 2025 - Present (1 year 5 months)

Lead development of generative AI applications, including RAG systems for searching company documents and knowledge bases. Built AI agent workflows and backend services/APIs on Python with FastAPI, and deployed AI services on AWS/Azure with CI/CD and production monitoring.

OpenAI Claude LangGraph Generative AI AI Agents fastAPI Python PostgreSQL Docker Kubernetes AWS Azure CI CD Model Evaluation Model Monitoring Observability Backend

AI/ML Engineer

V2Soft

Apr 2022 - Jan 2025 (2 years 9 months)

Built AI applications for document processing, enterprise search, and customer support automation using generative AI and knowledge retrieval. Developed RAG pipelines and supported AI workloads with backend services, MLOps (MLflow/experimentation/versioning), and deployments across AWS/Azure.

Machine Learning Engineer

Chainbalance

Nov 2019 - Mar 2022 (2 years 4 months)

Developed machine learning solutions for recommendation systems, predictive analytics, anomaly detection, and business intelligence applications. Built NLP pipelines using BERT/transformer models and integrated model-serving APIs (Flask/FastAPI) into business applications.

Artificial Intelligence Researcher

Accedia

Aug 2016 - Oct 2019 (3 years 2 months)

Conducted research and proof-of-concept development in machine learning, deep learning, NLP, and computer vision. Built and evaluated models for classification, forecasting, recommendation, and image analysis using Python and common ML frameworks.