Lead AI Engineer

ManoMano

AI Engineer at ManoMano leveraging machine learning and AI to enhance e-commerce solutions. Designing and implementing AI-driven features to solve complex business problems.

Posted 7/4/2026contractParis • 🇫🇷 FranceSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design and implement AI solutions using Large Language Models (LLMs), retrieval-augmented generation (RAG), and agentic frameworks to address complex business challenges
Build and maintain information retrieval pipelines, including hybrid search (sparse + dense), vector databases, and multi-stage re-ranking systems
Develop and fine-tune LLMs and vision-language models (VLMs) for domain-specific tasks such as product categorization, attribute extraction, and semantic search
Build and orchestrate agentic AI systems that interact with internal tools and external data sources
Write production-ready code and deploy AI systems at scale in live environments
Define and track evaluation metrics aligned with product and business goals; run controlled experiments (A/B tests, benchmarks) and clearly communicate results
Collaborate with software engineers, product managers, and business stakeholders to frame problems from both scientific and business perspectives
Investigate and resolve production issues; ensure reliability, observability, and performance of AI systems
Keep up to date with the latest AI trends (Generative AI, agentic systems, scalable ML, etc.)

Requirements

What you’ll need

5–10 years of experience in Machine Learning, Deep Learning, or AI Engineering
Hands-on experience with LLM/VLM application development: fine-tuning, prompt engineering, tool integration, evaluation, and benchmarking
Experience with information retrieval and modern retrieval stacks: hybrid search, large-scale embeddings, vector databases, and RAG architectures
Experience building or orchestrating agentic AI systems
Strong scientific rigor: ability to design metrics aligned with product goals, run controlled experiments, and communicate results to guide technical and product decisions
Experience with large-scale production applications (monitoring, reliability, performance, observability)
Strong coding skills in Python and proficiency in SQL
Proficient written and verbal communication skills in English
Growth mindset: continuous improvement of technical and soft skills

Benefits

Comp & perks

Part-time remote option (up to 2 days per week)
Flexible working hours
Health care coverage
Meal vouchers: Swile card
Employee discount on our DIY & home improvement offering
Mental health support via moka.care
Free access to a gym in Paris

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Deep LearningAI EngineeringFine-TuningPrompt EngineeringTool IntegrationEvaluationBenchmarkingHybrid SearchVector DatabasesRAG Architectures

Soft Skills

Written CommunicationVerbal CommunicationGrowth Mindset