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AI role · Open offer

Développeur IA / Agentic AI (Python)

5COM Consulting

Permanent (CDI)
Full-time
Senior
Agentic AI
Hybrid
43 Avenue de l'Opéra, 75002 Paris, France · Hybrid
EUR 50k-75k/year

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

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At a glance

How you'll work, where, and key listing dates.

Employment: Permanent (CDI), Full-time
Workplace: Hybrid
Location: 43 Avenue de l'Opéra, 75002 Paris, France · Hybrid
Compensation: EUR 50k-75k/year
Experience level: Senior
Team: Agentic AI
Benefits & perks: Prime mission, mutuelle premium, certifs sponsorisées.
How to apply: Présente un workflow agentique multi-outils en production.
Company site: www.5com.fr
Listed: Jun 6, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

5COM Consulting is hiring a Senior Développeur IA / Agentic AI (Python) on the Agentic AI team (Hybrid · Paris, France). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

5COM Consulting recherche un profil Python senior pour des workflows agentiques multi-outils.

Enjeu principal : fiabilité opérationnelle, gouvernance des prompts et sécurité des actions agents.

Ce que vous allez faire

Livrer en production des architectures agentiques robustes en Python avec évaluation offline, monitoring et plan de rollback.
Travailler avec produit, métier et design pour cadrer les besoins et priorités.
Améliorer qualité des données, observabilité et KPI business liés aux usages IA.
Documenter runbooks, incidents et standards de sécurité pour l'équipe.

Profil recherché

Expérience concrète Python / stack ML-LLM avec features déjà déployées.
Bonne pratique SQL, expérimentation et communication claire aux non-tech.
Capacité à gérer les compromis qualité, coût, latence et sécurité.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

KubernetesTool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Présente un workflow agentique multi-outils en production.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, SQL, Kubernetes, and Docker.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Paris, France)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: EUR 50k-75k/year, benefits in At a glance) and your expectations align.

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What the employer asked for

Présente un workflow agentique multi-outils en production.

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Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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