Senior AI Engineer, Madrid

Senior AI Engineer Are you a forward-thinking professional with a passion for artificial intelligence and advanced analytics? Join our team as a Senior AI Engineer and help shape the future of AI-driven business and scientific insights. You will be at the forefront of developing and deploying AI products that drive competitive intelligence and strategic decision-making. We are seeking a talented and motivated AI Engineer to build models using both foundational and cutting-edge methods, process structured and unstructured data and collaborate closely with internal stakeholders to solve complex problems in competitive intelligence and strategy. Projects range from developing intelligent AI-driven systems such as virtual assistants to applying advanced data science and analytics techniques that support decision-making and optimize business outcomes. Responsibilities

• Design and deliver production-grade AI systems for stakeholders, including LLM-powered applications for strategy teams
• Develop multi-agent architectures for strategy workflows including data collection and human-in-the-loop controls
• Build retrieval and vector-based systems over external data sets
• Work within an agile framework and in cross-functional teams to align AI solutions with business goals
• Engage internal stakeholders for the successful delivery of AI solutions
• Continuously monitor and optimize AI models to improve accuracy and efficiency, ensuring solutions are scalable, reliable and well-maintained
• Document processes, models and key learnings and contribute to building internal AI capabilities
• Ensure AI models adhere to ethical standards, privacy regulations and fairness guidelines
• Collaborate with external AI companies where required

Requirements

• Proficiency in Python and software engineering best practices
• Strong hands-on experience with LLMs, embeddings, RAG pipelines and vector databases
• Experience designing or implementing multi-agent systems or tool-calling frameworks
• Implementing evaluation frameworks for accuracy, coverage interpretation, decision consistency and bias
• Experience with distributed systems and microservices
• Strong understanding of data structures and algorithms
• Knowledge of API design and development
• Experience working with a multi-disciplinary team
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills

Nice to have

• Experience developing and deploying agentic AI systems including autonomous agents and multi-agent workflows
• Hands-on expertise with Retrieval Augmented Generation (RAG) techniques and their integration with Large Language Models
• Practical experience fine-tuning, customizing or implementing Large Language Models (LLMs) such as GPT, Llama or similar
• Knowledge of ML monitoring and observability
• Contributions to open-source ML projects or libraries
• Experience with high-performance computing
• Knowledge of software design patterns
• Experience with ML deployment platforms such as KubeFlow or MLflow
• Knowledge of serverless architecture patterns
• Understanding of cloud cost optimisation for ML workloads
• Experience with infrastructure-as-code such as Terraform or CloudFormation

We offer/Benefits

• Private health insurance
• EPAM Employees Stock Purchase Plan
• 100 paid sick leave
• Referral Program
• Professional certification
• Language courses

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

• Why Join EPAM
• WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
• CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
• CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
• STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.

Python, LLM, Embeddings, RAG pipelines, Vector databases, Distributed systems,