> Markdown version of [/jobs/ext/1934374-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1934374-senior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Ai Engineer - **Company:** Maze Impact Sa. - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Encodings, Databases, Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, Large Language Models, Scikit Learn, Information Technology, HuggingFace, Codebase, Machine Learning Operations, GPT, Data Pipelines, Microservices - **Published:** August 5, 2026 - **Apply:** https://www.buscojobs.com.es/senior-ai-engineer-en-madrid-ID-365562173 ## About the Role Python development , machine learning, and a proven track record of deploying robust, scalable AI solutions., 3+ years of professional experience in machine learning, AI engineering, or a related field. Experience fine?tuning LLMs for domain adaptation. Hands?on experience on building algorithms leveraging Large Language Models (LLMs). Know?how on process of experimentations for model/algorithm improvements. Expertise in Python and its relevant data science/ML libraries. Strong understanding of natural language processing (NLP) fundamentals and machine learning algorithms. Experience with MLOps principles and tools for managing the end?to?end machine learning lifecycle. Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field. Preferred Qualifications: Familiarity with frameworks like LangChain or LlamaIndex for building LLM applications and retrieval?augmented generation (RAG) systems. Experience with vector databases (e.g., Pinecone, Milvus, Chroma) and embedding models. Contributions to open?source projects or a strong portfolio demonstrating relevant AI/LLM work. ## Description About the company Biorce is a pioneering Healthtech company dedicated to revolutionizing drug development through the power of AI.We are passionate about accelerating medical advancements and improving patient outcomes.Our team comprises seasoned clinical research professionals, data scientists, and AI experts, working collaboratively to bridge the gap between cutting?edge technology and real?world clinical needs.With an unwavering commitment to revolutionize healthcare, we envision a world where all patients benefit from accelerated and cost?effective access to treatments.Biorce is poised to redefine the landscape of healthcare, shaping a future where innovation and accessibility converge for the betterment of humanity.About the roleWe're looking for an experiencedAI Engineerto join our innovative team and drive the development of cutting?edge applications leveragingLarge Language Models (LLMs) .The ideal candidate will have a strong background inPython development , machine learning, and a proven track record of deploying robust, scalable AI solutions.Key Responsibilities:Design, develop, and deployproduction?ready systems that integrate and utilize state?of?the?art LLMs (e.g., GPT, Llama, specialized models).Implement and optimizedata pipelinesfor model training, fine?tuning, and inference, ensuring high performance and data quality.Develop robust, scalable, and maintainablePythoncodebases, APIs, and microservices to support LLM?powered applications.Collaborate with product managers and cross?functional teams to translate business requirements into technical specifications and viable AI solutions.Conductexperimentation, evaluation, and iterationon model/algorithm performance, efficiency, and cost?effectiveness.Stay current with the latest advancements in LLMs, AI/ML methodologies, and relevant tooling (e.g., LangChain, Hugging Face, vector databases).Ensureresponsible AI practices , including model fairness, transparency, and security, are integrated into all development phases.Required Qualifications:3+ yearsof professional experience in machine learning, AI engineering, or a related field.Experiencefine?tuning LLMs for domain adaptation.Hands?on experienceon building algorithms leveraging Large Language Models (LLMs).Know?howon process of experimentations for model/algorithm improvements.Expertise in Pythonand its relevant data science/ML libraries.Strong understanding ofnatural language processing (NLP)fundamentals and machine learning algorithms.Experience withMLOpsprinciples and tools for managing the end?to?end machine learning lifecycle.Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.Preferred Qualifications:Familiarity with frameworks likeLangChainorLlamaIndexfor building LLM applications and retrieval?augmented generation (RAG) systems.Experience withvector databases(e.g., Pinecone, Milvus, Chroma) and embedding models.Contributions to open?source projects or a strong portfolio demonstrating relevant AI/LLM work.Why Join Us?Opportunity to work on challenging, high?impact projects at the forefront of AI innovation.A dynamic work environment with an international team, where collaboration and diversity thrive.Comprehensive private health coverage to ensure your physical and mental well?being.Company?sponsored gym membership to support your fitness goals.Hybrid work model offering flexibility to balance your professional and personal life.Coffee, tea, beverages, and snacks to keep you fueled throughout the day.Pet?friendly office with stunning beach views.Company events to celebrate achievements and enjoy time together.Get equipped with a MacBook to enhance your productivity and work experience.#J-*****-Ljbffr ## Related Videos - [Three years of putting LLMs into Software - Lessons learned](https://www.wearedevelopers.com/videos/1508-three-years-of-putting-llms-into-software-lessons-learned) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) - [A Brief History of Data Storage](https://www.wearedevelopers.com/videos/974-a-brief-history-of-data-storage) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)