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Tien L.TL

Tien L.

Senior AI & Software Engineer | Software Architect

€650/day
Paris, FR
8-15 years

Average response time: 1 hour

About Tien

Hi, I’m Tien, a Senior AI Engineer and Software Architect with experience designing and building enterprise AI systems.
My work focuses on Agentic AI, Retrieval-Augmented Generation, LLM evaluation, document intelligence, and production-ready AI pipelines. I combine data science, AI engineering, and software architecture to turn GenAI prototypes into reliable, scalable, and maintainable solutions.
I’m particularly interested in applying trustworthy enterprise AI to complex, knowledge-intensive, and regulated industries, including LegalTech, banking, financial services, and insurance.
I’m always happy to connect with professionals working in AI, data science, software engineering, architecture, and digital transformation to exchange ideas, share experiences, and explore opportunities for collaboration.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km)

Experience

  • Client
    Senior AI Engineer – Legal AI & Multi-Agent Systems
    SOFTWARE PUBLISHING
    June 2026 - Today (2 months)
    Paris, France
    • Designed and developed enterprise Legal AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Google Agent Development Kit (ADK).
    • Architected and implemented a multi-agent document processing pipeline for legal documents, orchestrating specialized AI agents for text extraction, document analysis, metadata generation, and semantic annotation.
    • Developed AI agents capable of identifying document types, legal jurisdictions, content structure, and contextual information to support downstream legal workflows.
    • Built scalable orchestration workflows coordinating serial and parallel agent execution with structured outputs and contract-based communication.
    • Optimized document understanding for PDFs and scanned documents, integrating OCR, HTML transformation, semantic parsing, and evidence-aware extraction.
    • Collaborated with cross-functional engineering and legal AI teams to deliver production-grade AI services deployed on Google Cloud Platform.
    Google ADK Python Redis Data Lake Multi-Agent Systems
  • Client
    Senior AI & Software Engineer | Software Architect
    SOFTWARE PUBLISHING
    March 2018 - Today (8 years and 5 months)
    Paris, France
    I'm an AI Engineer and Full Stack Software with over 7 years of experience building intelligent systems using machine learning, NLP, modern AI technologies, React/Angular.

    🔹 Current focus:
    I work on large language models (LLMs), multi-agent systems, and generative AI — developing chatbots, recommender systems, and real-time applications that scale. I enjoy bridging research and production, turning cutting-edge models into practical solutions.

    🔹 Technical strengths:
    + LLM fine-tuning, prompt engineering, and orchestration (LangChain, LangGraph, OpenAI SDK)
    + ML pipelines, model deployment, and data engineering with Python
    + Full-stack and backend development (Python, Java, JS/TS, Angular/React)
    + Experience with distributed systems, CI/CD, and cloud-based architectures

    🔹 Approach:
    I thrive in cross-functional teams, working closely with product, engineering, and research. I enjoy solving real-world problems through experimentation, fast iteration, and thoughtful system design.

    I'm always learning and excited to collaborate with others in the AI/ML space.
    Let’s connect if you’re building something impactful or just want to talk about LLMs and the future of AI 🤝
    Langchain Python Typescript Angular React.js
  • Industrial University of Ho Chi Minh city
    Lecturer
    EDUCATION AND E-LEARNING
    September 2009 - September 2014 (5 years)
    Hô Chi Minh Ville, Vietnam
    • Taught courses covering Data Structures & Algorithms, Software Development, Data Mining, and Artificial Intelligence.
    • Developed lectures, laboratory sessions, programming exercises, and assessment materials.
    • Supervised student research and capstone projects in software engineering and AI-related topics.
    • Promoted hands-on learning through real-world programming, data analysis, and machine learning applications.
    algorithms-and-data-structures Software Engineering Data analysis Machine learning Database administration

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