CDI - Senior Product Engineer - Paris

**Mission** What you build does not remain a demonstration: real users, within large groups, use it every day. Applications and agents are designed and operated in pairs with the AI Product Manager. A claims team now finds on a single screen the useful documents and a draft response; elsewhere, an order process no longer requires any manual re-entry. **This position is made for you if you want real users to rely on what you deliver.** Artefact supports the world's largest companies in deploying AI: 3,000 AI makers in more than 30 countries, more than 1,000 clients. In France, the Engineering department brings together about 300 people under the responsibility of the CTO; you will join the AI Applied Engineer chapter, Product Engineer archetype. **Activities and responsibilities** For each project, the AI Product Manager steers the product with the client: what is built first, and verifying that users actually use it, are decided together. Around the application, three disciplines intersect: AI Engineers for the model's behavior, Platform Engineers for deployment, and Context & Analytics Engineers for the data the application needs. Tests are carried out with end users, code is reviewed among peers, and new hires are supported. **Your responsibilities:** - Build business applications: front end, back end and APIs. - Integrate agents and assistants into a business process, with human controls where they matter. - Automate end-to-end processes. - Integrate a model into a tool teams already use. - Build the connectors the use case requires, for example an MCP server for a business tool. - Design the AI user experience: when a person validates, how to display sources and uncertainty. - Define with the AI Product Manager the evaluations specific to the use case and monitor them in production. - Take ownership of what you deliver after going live: monitoring, incidents, adoption. **Profile sought** **The essentials:** 1. You have built applications with a front end, a back end and APIs, even if your expertise is stronger on one side. 2. Tested, reviewed and documented code, in Python, TypeScript or a similar language. 3. Coding agents are already part of your daily work, and you verify what they produce. 4. User needs turned into a first version, then improved based on their feedback. 5. Monitoring, incidents and adoption are, for you, part of the job. 6. Comfort explaining your technical choices to non-technical people. **A plus, not a prerequisite:** - Experience building agents or assistants on top of an LLM: tool calling, orchestration. - Experience designing workflows with human validation (human-in-the-loop) or AI interfaces. - Experience integrating with business software, such as an ERP or a CRM. - Experience working directly with clients. **You don't need to tick every box to apply**: if you have the essentials and the desire to learn the rest, let's talk. **Why join us?** Between the product, the interface and the model, the Product Engineer sits at the point where AI meets its users. Their reactions can be observed directly, and each version delivered takes into account what usage has revealed. We are AI makers: AI is built with our clients, not only for them. Their challenges become ours, and our technical choices are explained in the language of the business. The positions we take are clear; they evolve in the face of facts, never under pressure. Our field changes every month, and this pace suits us: new technologies and new sectors are learned quickly, and habits that no longer serve us are abandoned without regret. Faced with a difficult problem, the reflex is to break it into verifiable steps, with a high standard for code as well as deliverables. When something is missing, for a client or for the chapter, we build it. Progress comes through constructive feedback, knowledge sharing, asking for help without waiting, and recognizing others' work. There is a lot to learn, and a lot to build. A counsellor supports your first months. Technical onboarding opens the journey, followed by a first client project; if none is ready, internal starter kits take over. The rest is learned on projects: agent design, evaluation by use case, AI user experience, with the support of AI Engineers and the Product Engineer community. From 2027, the Product Engineer archetype will have its own skills framework and training path, in addition to the core curriculum shared by all AI Applied Engineers (AI evaluation, production responsibility). Later, a cross-functional role becomes possible (Project Tech Lead, Pre-sales Engineer, Engineering Manager), as does the AI Product Manager chapter. **Recruitment process** The process takes about four hours, divided into six steps, only one of which is on site. 1. **HR interview** (45 min, remote): background, motivations and practical points, such as schedule and salary expectations. 2. **Call with the CTO** (15 to 30 min, remote). 3. **Technical screening** (30 min, remote, with a member of the AI Applied Engineer chapter): detailed feedback on your past projects, then technical and solution design questions. 4. **Code review and live coding** (60 min, on site, with a chapter member): review of an existing code repository and fixing its defects, then building a new feature with a coding agent and presenting the result. 5. **Technical case** (45 min, remote, with a chapter member): framing a business problem, proposing a technical solution, describing the evaluation method, then discussing your choices. 6. **Final interview** (30 min, remote, with a department manager, Engineering Manager or Director): revisiting open points, choosing the archetype and level best suited to your profile, and answering all your questions. Depending on the step, all AI tools are allowed, or none are. During live coding, the way you work with AI assistance is what is observed. **Compensation**: €60,000 to €70,000 gross annual (fixed) + up to €6,000 variable depending on experience and seniority *At Artefact, we are convinced that the diversity of backgrounds, experiences and perspectives makes our teams richer. We are committed to providing an inclusive environment and equal opportunities, where everyone can grow and fully express their potential. Our recruitment is based on skills, potential and fit with the role.* Find Jobs in France on Arbeitnow