Artificial Intelligence Engineer

Responsibilities

• Develop and deploy AI/GenAI Solutions, including fine-tuning, RAG pipelines, and model optimization
• Implement agent-based workflows and automation using LLMs
• Contribute to data ingestion, preprocessing, and evalutaion pipelines
• Collaborate with archtects on system design and soltion compenents
• Participate in client workshops, demos, and technical discussions
• Competitive salary package
• Enjoy the best of both worlds: a startup pace and autonomy, backed by Reply’s international group (stability, resources, and a full corporate benefits package)
• Collaborate closely with leadership, with direct access to decision makers and a fast, agile governance model that values autonomy and high-impact contributions
• Influence both strategy and delivery, shaping not only what we build for clients but also how we operate internally
• Thrive in Reply’s innovation-driven culture with competitive benefits, in an environment built for people who want to innovate, create, and contribute to a broader European mission

Qualifications

• At least 1 year of professional experience in AI engineering
• Minimum Master’s degree in Computer Science or a related field (or equivalent)
• Strong ability to design AI & data architectures integrated into enterprise landscapes; hands‑on LLM fine‑tuning/adaptation/training and production delivery
• Strong proficiency in Python, including async programming, debugging, and performance basics
• Practical experience implementing RAG pipelines (rerivers, chunking, hybrid search)
• Excellent French & English communication/presentation skills; experience leading technical teams, contributing to governance, and solid project‑management capabilities

About SAIL Reply

SAIL Reply is the Reply Group company specialized in developing AI‑driven solutions for the intelligent automation of content and business processes. As an official partner of Mistral, SAIL Reply leverages Mistral’s large language models to deliver advanced and customized AI solutions within modular, scalable, and secure architectures—both cloud‑native and on‑premises—ensuring full data control and sovereignty.

These solutions support complex scenarios in strategic areas such as knowledge management, document asset management, and their integration into omnichannel workflows.