Senior AI Engineer (AI Enablement)

About This Opportunity

We are representing a confidential data intelligence organization in Paris that is building an AI Enablement team to scale AI adoption across the entire company. This Senior AI Engineer role is a high-impact individual contributor position where you'll design, build, and operate production-grade AI systems—agents, assistants, shared frameworks, and knowledge bases—that empower every function to work with AI at scale.

You'll own solutions end-to-end, from collaborating with internal stakeholders to understand their workflows through deployment, measurement, and continuous iteration. This role requires engineering rigor in a fast-moving space: the systems you ship must be reliable, observable, safe, and cost-effective. You'll also help raise the bar for AI-assisted engineering practices and mentor team members.

Responsibilities

• Design, build, and operate AI systems for internal functions—agents, assistants, and automations—owning them end-to-end from design through production operation
• Build shared platform foundations including frameworks, knowledge-base pipelines, evaluation tooling, and reusable integrations with company systems
• Work directly with functional champions to understand workflows, identify high-leverage automation opportunities, and turn them into deployed solutions
• Implement security guardrails and responsible-AI practices: access control, data privacy, auditability, and human-in-the-loop where appropriate
• Instrument and measure adoption, quality, cost, and time savings to drive iteration and improvement
• Maintain system reliability and observability, including production incident response and root cause analysis
• Contribute to AI-assisted development practices and engineering standards across the organization
• Provide clarity through documentation, proposals, and runbooks; share knowledge across teams
• Mentor other engineers and contribute to hiring and onboarding

What We're Looking For

Essential qualifications:

• 5+ years of software engineering experience building and operating production systems end-to-end
• Hands-on experience shipping LLM-powered features, agents, or AI tooling to production (not just prototypes)
• Strong integration experience with third-party SaaS APIs, internal services, and data pipelines
• Solid grounding in system design, APIs, databases, and application architecture
• Experience working directly with non-technical stakeholders to shape and deliver solutions
• Practical understanding of security and data-privacy constraints around AI systems
• Strong programming skills in Python and/or TypeScript
• Experience with LLM application engineering: model APIs, agent frameworks, prompt/context engineering, RAG and knowledge bases
• API design and systems integration across multiple platforms
• Cloud environment experience (AWS preferred), CI/CD, containerization

Desirable qualifications:

• Experience with agent frameworks, MCP-style tool interfaces, or multi-agent systems
• Experience with RAG/knowledge-base systems and LLM evaluation/observability tooling
• Background building internal tools, platform tooling, or developer-experience products
• Cost optimization of LLM workloads
• Full-stack experience for user-facing internal tooling

How We Work With You

When you apply through Get A Job.ai, our talent team will review your background and conduct an initial screening. If there's a strong match, we'll submit your profile to our client for consideration. Throughout the process, we'll be your advocate and primary point of contact. Please do not contact the client directly—all communication and coordination will flow through our recruiting team to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process based on your experience and the client's budget for this role.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We encourage candidates from all backgrounds to apply, even if you don't meet every single requirement. Different perspectives and experiences strengthen teams, and we welcome applicants of all backgrounds, abilities, and experiences.