AI Product Engineer Lemon Learning

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.