Senior AI Engineer / LLMOps – Toulouse

Job description

Founded in France, Talan is now an international group that supports clients’ end-to-end Data & AI transformation, combining management consulting with technology expertise.

With more than 6,000 employees across five continents, we accelerate our clients’ transformation through long-term partnerships, creating measurable and lasting impact.

Our value proposition is built on a structured innovation ecosystem: 2,500 Data & AI experts, proprietary solutions built on advanced models, and a laboratory for applied research, experimental development and innovation.

For more than 20 years, we have turned technological innovation into competitive advantage across strategic sectors: banking and financial services, energy, transport and mobility, luxury and retail, and healthcare.

Driven by our promise of Positive Innovation, Talan is a leading player helping address the growing complexity of economic, technological and regulatory environments.

Talan Sud-Ouest is a community of more than 150 consultants across offices in Bordeaux, Toulouse and Montpellier. Our growing offices are expanding.

www.talan.com

Would you like to work on high-impact projects involving modern data platforms, generative AI, multi-agent systems, machine learning and the industrialization of AI solutions in next-generation cloud environments?

As part of our Data & AI community, you will join a group of passionate experts helping clients transform and realize value from their data through artificial intelligence.

To develop an enterprise-scale generative AI platform, we are looking for an AI Engineer & LLMOps professional to design, develop and industrialize solutions based on advanced agentic architectures.

You will work in a team of Cloud, Data and AI experts and contribute throughout the solution lifecycle, from technical design through production deployment.

Key responsibilities

Design and develop AI agents and multi-agent systems in Python.

Implement architectures using LangChain, LangGraph or Semantic Kernel.

Develop and integrate advanced orchestration mechanisms: tool calling, ReAct, memory management and agent-to-agent interactions.

Contribute to the design of industrialized, secure AI platforms.

Develop and expose secure APIs following OAuth2, OIDC, TLS/SSL and certificate-management standards.

Set up and maintain CI/CD pipelines with GitLab.

Contribute to LLMOps practices and the industrialization of generative AI solutions.

Run evaluation, validation and robustness campaigns for AI systems using tools such as Promptfoo.

Participate in architecture decisions and technical reviews.

Support business and technical teams in adopting the solutions developed.

Required experience

At least 5 years of experience in Python development and software design.

Significant experience integrating complex information systems.

At least 3 years of experience with generative AI, agentic AI or agent orchestration projects.

Strong DevOps and CI/CD skills.

Demonstrated experience with an equivalent framework or methodology dedicated to agentic systems.

Experience evaluating and improving the robustness of AI models and applications.

Expected technical skills

Advanced Python (design patterns, packaging and code quality).

Agentic AI: ReAct, tool calling, memory management and multi-agent systems.

LangChain, LangGraph and Semantic Kernel.

MCP (Model Context Protocol).

Secure REST APIs.

OAuth2, OpenID Connect, TLS/SSL and certificates.

GitLab CI/CD.

LLMOps and industrialization and deployment of AI solutions.

Prompt and AI-performance evaluation with Promptfoo.

Good knowledge of cloud and distributed architectures.

Personal qualities

Strong analytical and complex problem-solving skills.

Excellent autonomy and sense of responsibility.

Collaborative mindset and good communication.

Ability to explain technical topics to varied audiences.

Above all, we are looking for curious people who are passionate about AI and want to contribute to meaningful projects. Here, expertise is shared, innovation is built collectively and everyone can make an impact.

Ready to help clients transform and realize value from their data through AI? Join Talan Sud-Ouest.

Our benefits

Modern offices in Toulouse, close to the city center.

Hybrid organization combining remote and in-person work, depending on client projects.

A wide range of training, with a catalog of more than 1,500 courses.

80% of health-insurance costs covered.

Employee share ownership.

Option to return from maternity leave on a four-day week, with no salary loss for six months.

The recruitment team is committed to a fast, smooth hiring process:

1. Initial conversation with Quentin, recruiter, to introduce ourselves and understand your career plans.
2. Joint interview with the Data & AI manager and one of our technical consultants.