AI Engineer
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Manufacturing AI & LLM Solutions Engineer
Location
Paris, France
Contract Duration
12 Months
Role Overview
We are seeking an experienced AI Engineer with a strong background in Generative AI, Large Language Models, and manufacturing environments. The successful candidate will support the design, development, and deployment of enterprise AI solutions that address real-world operational and engineering challenges within a complex manufacturing organisation.
A key requirement for this position is prior experience working in manufacturing, enabling the candidate to understand industrial processes, operational data, engineering workflows, and the practical application of AI technologies within production-focused environments.
Key Responsibilities
- Design and implement enterprise-grade Generative AI solutions
- Develop applications leveraging Large Language Models, AI agents, and RAG architectures
- Build and optimise vector database and semantic search solutions
- Collaborate with business, engineering, operations, and IT teams to identify high-value AI use cases
- Integrate AI capabilities into manufacturing and operational workflows
- Support deployment, monitoring, evaluation, and governance of AI solutions
- Ensure scalability, performance, security, and maintainability of deployed applications
- Provide technical expertise and guidance on GenAI best practices across the organisation
Required Experience
- Proven experience delivering Generative AI and LLM-based solutions within enterprise environments
- Mandatory previous experience working within the manufacturing industry
- Experience supporting manufacturing organisations within sectors such as:
- Automotive
- Aerospace & Defence
- Electronics
- Industrial Equipment
- Heavy Manufacturing
- Chemicals
- Process Manufacturing
- Engineering & Industrial Production
- Strong expertise in LLMs, prompt engineering, embeddings, fine-tuning, and AI orchestration frameworks
- Hands-on experience with Retrieval-Augmented Generation (RAG)
- Strong Python software engineering skills
- Experience with Azure OpenAI, Azure AI Services, AWS, or GCP
- Knowledge of MLOps, CI/CD, model lifecycle management, and AI governance
- Experience integrating AI solutions with manufacturing systems, operational platforms, or engineering processes
- Strong stakeholder engagement and communication skills
Preferred Experience
- Experience deploying AI solutions at scale in global manufacturing organisations
- Understanding of manufacturing operations, production planning, quality management, engineering documentation, or supply chain processes
- Experience with AI governance, compliance, and responsible AI frameworks
- Knowledge of agentic AI and automation frameworks
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