AI Operation Specialist

Job Offer — AI Operation Specialist @ GENIAL

GENIAL (Generative IA Lab) is a Bordeaux-based company driving innovation in generative artificial intelligence. We design, build, and deploy cutting‑edge AI solutions for clients in diverse industries — tourism, software publishing, nutraceuticals, retail, public investment, and more.

Our team builds conversational agents, callbots, and custom AI‑powered applications that connect directly to our clients' business tools and data. We don't do AI for the sake of AI — we deliver measurable ROI and real adoption.

Our mission : Empower organizations with generative AI to transform operations, boost user experiences, and deliver tangible results through our 3U methodology — Useful, Usable, Used.

Role Description

We are seeking an AI Operation Specialist to join our team full‑time / part‑time / freelance in Bordeaux, France .

This is a hybrid role : part hands‑on AI builder, part project manager. You will start by taking ownership of existing AI agents deployed across multiple clients — understanding their feedback, learning the business logic, and driving continuous improvement. As you ramp up, you'll progressively take on new builds and contribute to use case scoping.

What you'll do

• Take ownership of AI agents already in production for our clients.
• Analyze client feedback, usage data, and conversation logs to identify improvement opportunities.
• Deeply understand each client's business logic, domain, and workflows to make agents more relevant and reliable.
• Implement prompt improvements, connector updates, behavior adjustments, and feature enhancements.
• Monitor agent performance via observability tools (LangSmith, tracing, feedback loops, LLM‑as‑a‑Judge).
• Be the day‑to‑day contact for clients throughout the project lifecycle.
• Coordinate between internal teams (engineering, product, data science) and client stakeholders.
• Run sprint reviews, demos, and feedback sessions with clients.
• Track progress, anticipate risks, and ensure on‑time delivery.
• Manage multiple client projects simultaneously across different industries.
• Design, build, and deploy new AI agents as you gain mastery of the stack: conversational agents, callbots, and custom AI‑powered applications.
• Architect RAG (Retrieval‑Augmented Generation) pipelines with vector search on business document bases.
• Orchestrate multi‑agent systems.
• Select and integrate the right tools & connectors for each client context (CRM, ERP, APIs, data sources).
• Participate in discovery workshops alongside the commercial team.
• Contribute to use‑case identification and feasibility assessment.
• Translate business needs into functional specifications and technical architecture.

How the role evolves

Months 1‑3: Continuous improvement of existing agents, client feedback loops, learning the stack & business logic.

Months 3‑6: Start building new agents from scratch, lead project delivery autonomously.

Qualifications

Must‑have

• Proven experience building and deploying AI agents (conversational or task‑oriented) in production environments using LLMs.
• Strong proficiency with LLM provider APIs (OpenAI, Anthropic, Mistral) and orchestration frameworks (LangChain, n8n, MCP ).
• Hands‑on experience with RAG architectures , vector databases, and API integrations.
• Solid development skills: Python and/or TypeScript/Next.js/React .
• Strong debugging and analytical skills — you can read conversation logs, trace agent behavior, and diagnose prompt or pipeline issues quickly.
• Ability to understand business logic and domain context to make agents smarter, not just technically functional.
• Ability to communicate clearly with non‑technical clients — present progress, manage expectations, explain trade‑offs.
• Excellent skills in French and English .
• Daily usage of AI tools — AI‑first problem solver.

Nice‑to‑have

• Experience with LLMOps: tracing, evaluation pipelines, LLM‑as‑a‑Judge, LangSmith.
• Experience managing project delivery in a tech/SaaS/consulting environment.
• Experience with callbot/voice AI technologies (LiveKit, ElevenLabs, Deepgram).
• Background in SaaS product delivery.
• Knowledge of change management methodologies.

What success looks like

• Month 1 : Onboarded on the Genial stack. Owning the continuous improvement cycle on 2‑3 client agents — processing feedback, analyzing logs, shipping first improvements.
• Month 3 : Deep understanding of your clients' business logic. Autonomous on the improvement cycle and client delivery. Starting to build new agent features from scratch.
• Month 6 : Building and deploying new agents end‑to‑end. Trusted technical lead on your projects. Contributing to scoping and architecture decisions.

Why Join Genial?

• Real impact, not just POCs — Every agent you build goes to production and serves real users.