AI Product Engineer

As an AI Product Engineer, you will design and develop features at the intersection of product, engineering and artificial intelligence.

You will not simply write specifications: you will explore solutions, build functional prototypes, work with APIs and language models, test hypotheses, and collaborate directly with developers through to production.

Your work will include:

• AI-powered features integrated into our product;

• internal agents and tools used by our teams;

• automated QA and user-feedback analysis;

• improving our product design and development processes through AI.

• building the best roadmap

This role works directly with the executive team. On a daily basis, you will collaborate with:

• the CTO on architecture, feasibility, delivery and technical quality;

• the CEO on product vision and strategic decisions;

• the COO on customer use cases, deployment and operational challenges.

With few layers of management, short decision-making cycles and a high level of autonomy, you will be expected both to understand complex problems and to build practical solutions.

Your responsibilities

Design and develop AI-powered features

• Identify use cases where artificial intelligence can deliver genuine value to users.

• Design features powered by LLMs, agents, and retrieval- or generation-augmented systems.

• Build functional prototypes to validate technical feasibility and user value quickly.

• Integrate and orchestrate AI models and services through APIs.

• Define the prompts, tools, context sources and workflows used by agents.

• Work with the Engineering team to turn validated prototypes into robust, maintainable and scalable product features.

Build our internal agents

• Design and improve agents for product discovery, specification writing, QA, ticket analysis and documentation.

• Implement evaluation mechanisms to measure the quality and reliability of their outputs.

• Test different approaches to prompting, context management, model selection and orchestration.

• Define the necessary safeguards for security, confidentiality, cost control and hallucination management.

• Document technical decisions, identified limitations and appropriate conditions of use.

Ensure technical and functional quality

• Define acceptance criteria and validation plans for new features.

• Design and carry out functional, exploratory and automated tests.

• Test standard scenarios, edge cases and the non-deterministic behaviours specific to AI-powered features.

• Analyse logs, reproduce issues and work with developers to identify their root causes.

• Track bugs through to resolution and verify the quality of fixes.

• Help improve test coverage and QA automation.

• Measure feature quality following production release.

Connect product and engineering

• Understand user needs through customer feedback, discussions with Support, ticket analysis and competitor research.

• Translate these needs into technically realistic and clearly documented solutions.

• Produce detailed specifications, user flows, mock-ups and prototypes that the Engineering team can work from.

• Challenge functional and technical decisions by considering value, complexity, timelines and maintainability.

• Contribute to roadmap decisions and communicate them clearly to stakeholders.

• Occasionally mentor an apprentice on design and prototyping topics.

What we offer

• A stable, self-funded SaaS company with a genuine product culture.

• A strategic position combining product, engineering and artificial intelligence.

• Direct access to the CEO, CTO and COO.

• Short decision-making cycles and a high degree of ownership.

• An environment where AI is already used in practice—not merely as a talking point.

• Dedicated time, tools and budget to experiment, prototype and measure.

• Significant autonomy in choosing approaches and solutions.

• A hybrid working arrangement, with three days in the office and two days working remotely.

• Prestigious customers in France and internationally.

• A central role involving collaboration with every team in the company, without direct line-management responsibilities.

What we are looking for

• You have a higher-education qualification in computer science, software engineering or an equivalent technical background.

• You have between two and five years of experience in a SaaS environment, ideally as a Product Engineer, product-minded Software Engineer, AI Engineer or highly hands-on Technical Product Manager.

• You can design and develop a functional prototype from end to end.

• You can read, understand and modify code, and engage in in-depth discussions with an engineering team.

• You are comfortable working with REST APIs, data formats such as JSON, version-control tools such as Git, and the general principles of SaaS architecture.

• You can query and manipulate data using SQL or equivalent tools.

• You are proficient in at least one language suited to prototyping or application development, such as Python, JavaScript or TypeScript.

• You regularly use AI tools to code, design, document, test and analyse.

• You understand how LLMs work and where their limitations lie, including context management, hallucinations, output variability, cost, latency, confidentiality and security.

• You have already experimented with model APIs, orchestration tools, RAG systems or agents. Production experience would be a strong advantage.

• You know how to define metrics and test datasets to evaluate an AI-powered feature beyond subjective impressions.

• You are autonomous, thorough and able to move a project forward even when every detail has not yet been defined.

• You have a strong product mindset and never lose sight of the user problem to be solved.

• You are comfortable working in English, both written and spoken, with international teams, partners and customers.

What we are not looking for

This is not a traditional Product Manager position focused exclusively on roadmaps, coordination and ticket writing.

We are looking for someone who is comfortable getting hands-on with technology, building an initial solution quickly, testing its behaviour and working closely with engineers every day.

This is not a fundamental AI research role either. Our priority is to turn existing technologies into reliable, useful and deployable features.

You are likely to thrive in this role if…

• You enjoy starting with a user problem and building the first solution yourself.

• You can move from a product discussion to a prototype, and then from a prototype to a production-ready feature.

• You enjoy experimenting, but would never release a solution that cannot be properly evaluated or made reliable.

• You can challenge both product decisions and technical proposals.

• You consider documentation, testing, observability and quality to be integral parts of development.

• You use AI as an accelerator while maintaining a critical perspective on its outputs.

• Initial interview with our Talent Acquisition Specialist – 15 minutes
  An opportunity to get to know each other and assess the overall fit with the role.

• Technical interview with our CTO and COO – 45 minutes
  An in-depth discussion about your experience, previous projects and approach to building technical products.

• Technical case study
  You will design or prototype a feature powered by an LLM or agent. We will assess your product thinking, technical decisions, ability to build and approach to quality.

• Interview with our Head of HR – 15 minutes
  A discussion about your expectations, preferred working environment and contractual requirements.

• Final interview with our CEO – 15 minutes
  A final conversation to ensure mutual alignment on the vision, the role and how we would work together.