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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Lithosquare - **Location:** Paris, France (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Geographic Information Systems, Artificial Intelligence, Algorithm Design, Big Data, Python (Programming Language), Software Engineering, Reinforcement Learning, Large Language Models, IT Architecture, Deep Learning, Optimization Algorithms, Machine Learning Operations - **Published:** May 21, 2026 - **Apply:** https://fr.indeed.com/viewjob?jk=95985513d070e259 ## About the Role Do you have experience in Python?, * 5+ years of experience applying AI and Machine Learning in production environments * Strong working knowledge of state-of-the-art AI models and methodologies, including deep learning, generative models, fine-tuning and reinforcement learning. * Proficiency in Python, with a strong emphasis on clean, maintainable code and best practices in software engineering. * Experience working with modern LLM libraries. * Proven ability to work with large-scale datasets and implement data preprocessing pipelines. * A solid understanding of algorithm development and optimization techniques. * Strong problem-solving skills and the ability to translate complex challenges into elegant AI solutions. * Excellent communication and collaboration skills to work effectively in a multidisciplinary team environment. * Passion for leveraging AI to make a positive impact. * Nice-to-have: knowledge of geospatial data processing and analysis, experience in geosciences-related industries or earth exploration fields. ## Description As an AI Engineer, you will play a central role in the evolution of our core product and act as the architect of the intelligence that powers our Geology OS. You won't just be using models: you will design, fine-tune, and deploy machine learning systems that interpret complex geophysical and geochemical data, turning massive, noisy datasets into high-confidence exploration targets. Your focus will be on building an agentic ecosystem - orchestrating intelligent workflows and tool-augmented systems that can reason through complex geological challenges. To power these agents, you will fine-tune foundational models on our proprietary datasets, ensuring they possess the domain-specific intuition required for high-accuracy discovery. By combining the reasoning capabilities of AI agents with the precision of custom-tuned models, you will transform raw data into a scalable, autonomous engine for mineral exploration., * Design, orchestrate, and optimize AI agents and agentic workflows that solve complex challenges in mineral exploration and geosciences. * Collaborate closely with geoscientists, software engineers, and other team members to integrate AI solutions into our platform. * Leverage state-of-the-art AI models (e.g., foundation models, fine-tuned & multimodal models) as components within broader tool-using agent frameworks. * Lead the fine-tuning of LLMs and vision transformers to adapt general-purpose models to the niche requirements of geology and mineralogy. * Stay up-to-date with the latest advancements in AI research and ensure their practical application within the company's workflows. * Continuously monitor and refine internal AI solutions, ensuring robustness, transparency and scalability. * Contribute to the design and development of the overall AI architecture of our platform. * Actively participate in brainstorming sessions to identify creative AI-driven solutions to complex business problems. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [AI in the Open and in Browsers - Tarek Ziadé](https://www.wearedevelopers.com/videos/1787-ai-in-the-open-and-in-browsers-tarek-ziade) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Architectures that we can use with .NET](https://www.wearedevelopers.com/videos/935-architectures-that-we-can-use-with-net) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)