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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise AI Integration Engineer - **Company:** Prophesee - **Location:** Paris, France - **Contract:** Permanent contract - **Skills:** Microsoft Access, Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, User Authentication, Business Software, Cloud Computing, Collaborative Software, Information Systems, Computer Programming, Databases, Custom Software, Programming Tools, Information Retrieval, Python (Programming Language), Data Streaming, Enterprise Software Applications, Large Language Models, IT Architecture, Indexer, Build Management, Kubernetes, Integration Frameworks, Virtual Agents, Restful APIs - **Published:** September 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=58fb7cf2561b9e05 ## About the Role * AI systems integration - strong requirement - Ability to integrate AI models, assistants, APIs, enterprise applications and internal information systems into end-to-end solutions. * AI architecture - strong requirement - Understanding of LLMs, agents, RAG, embeddings, vector databases, context management and orchestration. * Hands-on implementation - strong requirement - Ability to build and deploy solutions directly, not only define architectures or coordinate suppliers. * Programming / glue logic - required - Ability to develop scripts, APIs, connectors and automation, preferably in Python. * Enterprise tool integration - important - Experience connecting document systems, knowledge bases, collaboration platforms, development tools and business applications. * Agentic AI / workflow automation - important - Understanding of AI agents and tool-orchestrated business workflows. * Data / knowledge architecture - desirable - Understanding of information structuring, indexing, governance and controlled exposure to AI systems. * Cloud / API / integration technologies - desirable - REST APIs, authentication, databases, containers, cloud platforms and integration frameworks. * Project-oriented mindset - desirable - Ability to translate business requirements into implementation plans and coordinate stakeholders. * Security & governance awareness - desirable - Understanding of access control, confidentiality, traceability and enterprise AI governance. Language skills Fluency in French and English Soft skills Strong problem-solving skills, strong analytical skills. Flexible to dynamic environments and fast changing technologies. Passionate about technology. This person must work well with other engineers in a team environment. Good sense of autonomy. Must be pragmatic and self-motivated to complete a task even if it is outside of just the "well known" realm. "Can Do Attitude" is preferred. ## Description * Deploy and operate practical AI architectures using LLMs, APIs, agents, RAG, embeddings, vector databases and orchestration frameworks. * Build connectors, APIs, scripts and glue logic required to integrate systems and automate workflows. * Connect AI capabilities to internal knowledge sources, collaboration platforms, development tools and business applications. * Implement agentic workflows capable of retrieving information and orchestrating actions across authorized tools. * Translate business needs into technical solutions and drive implementations from prototype to production. * Work with IT and business stakeholders on identity, access control, confidentiality, governance and traceability. * Favor pragmatic integration of commercial tools, internal systems and custom development over unnecessary custom rebuilds. Key deliverables * Documented target architecture for the AI-Powered Company initiative. * Prioritized AI use cases translated into deployable technical solutions. * Production-ready connectors, APIs, RAG components, agent workflows and automations. * Secure integrations with company knowledge sources and enterprise applications. * Operational documentation covering architecture, permissions, data flows and maintenance. * Reusable integration patterns and components that accelerate subsequent AI use cases. Performance indicators * Number and business relevance of AI use cases moved from prototype to operational use. * User adoption and measurable reduction of manual effort for implemented workflows. * Reliability and maintainability of deployed AI integrations and automations. * Quality and relevance of information retrieval and task execution for implemented use cases. * Compliance with agreed identity, access, confidentiality, governance and traceability requirements. ## Related Videos - [Dynamic Entities in .NET: Building Low-Code Systems on Top of Entity Framework Core](https://www.wearedevelopers.com/videos/100218-dynamic-entities-in-net-building-low-code-systems-on-top-of-entity-framework-core) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [Leading efficiency, empathy, and the human experience with AI](https://www.wearedevelopers.com/videos/1699-leading-efficiency-empathy-and-the-human-experience-with-ai) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)