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Samuel P.SP

Samuel P.

AI, LLM, RAG, agents & backend integration

€650/day
142 projects
Paris, FR
15+ years

Average response time: 1 hour

Freelancer profile translated to English.
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About Samuel

I help companies design and integrate useful, reliable, and connected generative AI solutions with their existing tools.

I mainly focus on LLM, RAG, AI agents, business automation, and backend integration: internal assistants, intelligent documentation search, information extraction, document analysis, request qualification, structured content generation, AI-augmented workflows, or business tools connected to models like OpenAI, Mistral, Anthropic, or open-source models.

My approach is pragmatic: start with a real business problem, prototype quickly, measure the value, and then industrialize properly when the solution brings concrete gains.

My experience in senior backend development: APIs, microservices, databases, processing queues, security, observability, Docker/Kubernetes, distributed systems, allows me to go beyond a simple AI demo and build maintainable, monitored, secure solutions integrated into a real environment.

Example missions:

  • Create an AI assistant connected to your internal data;
  • Implement a reliable RAG with cited sources;
  • Automate the analysis of documents, emails, tickets, or reports;
  • Design AI agents capable of calling your APIs or business tools;
  • Evaluate the benefit of fine-tuning or an open-source approach;
  • Transform an AI prototype into a usable backend application.

I work with CTOs, product teams, business managers, or founders who want to move from "we should do something with AI" to a concrete, useful, and sustainable tool.
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Context Runtime
    AI Tools Designer, LLM Agents & Backend Orchestration
    SOFTWARE PUBLISHING
    January 2025 - Today (1 year and 7 months)
    Paris, France
    Design and development of an AI Lab environment dedicated to experimentation, orchestration, and integration of AI agents into development and analysis workflows.

    The project aims to transform advanced AI uses into concrete tools: specialized assistants, task-oriented agents, prompt generation and review, code auditing, document analysis, workflow automation, and interaction with existing technical environments.

    Work performed:

    • Design of an orchestration architecture for LLM agents;
    • Creation of multi-agent workflows with specialized roles: implementer, reviewer, auditor, analysis assistant;
    • Integration with development environments, project files, tickets, and backend tools;
    • Structuring operational prompts to produce, audit, or validate technical deliverables;
    • Experimentation with RAG, contextual analysis, and the use of local or remote models;
    • Implementation of controlled flows to track decisions, validations, and outputs produced by agents;
    • Work on the reliability, traceability, and industrialization of AI uses beyond simple prototyping.

    This experience combines generative AI, LLM agents, business automation, and backend expertise to create truly usable AI tools in a professional context.
    Artificial Intelligence LLM RAG Python AI Agents
  • AGS Cloud
    Backend Engineer
    January 2023 - January 2026 (3 years)
    Montpellier, France
    • - Development of Node.js / NestJS microservices in a cloud environment
    • - Design of REST and GraphQL APIs for distributed systems
    • - Implementation of CI/CD pipelines and Kubernetes deployments
    • - Implementation of observability strategies: log structuring, request correlation (requestId), multi-service debugging improvement
    • - Log centralization (OpenSearch) and visualization (Grafana, Sentry) Result: significant improvement in diagnostic time and system visibility
  • Olifid
    XML Feed Aggregator
    PRESS AND MEDIA
    January 2019 - April 2019 (3 months)
    Creation of an XML feed aggregator API and content normalization into Elasticsearch, with on-the-fly content translation. Feed access is executed by the client via an authorization key.
    XML API Node.js Elasticsearch

Reviews

5.0

Out of 87 ratings

JérémieJ

Jérémie

RESEAU HB

Reviewed on 10/4/2023

Always top!
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Account deleted

Reviewed on 7/11/2023

Samuel is an exceptional developer. His technical expertise, passion for development, and ability to solve complex problems make him a valuable asset. He is reliable, communicative, and always ready to offer innovative ideas. I highly recommend Samuel for any development project.

Recommendations

Nenad VulicNV
Frédérik IstaceFI
Jean-Sébastien CatierJC
Nenad Vulic and 2 other people have recommended Samuel

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Education

  • Programmer Analyst in Computer Science Applied to Industry
    AFPA
    1996

Skill set

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