Senior Ai Engineer
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Job description
Are you a forward-thinking professional with a passion for artificial intelligence and advanced analytics? Join our team as aSenior AI Engineerand 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.ResponsibilitiesDesign and deliver production-grade AI systems for stakeholders, including LLM-powered applications for strategy teamsDevelop multi-agent architectures for strategy workflows including data collection and human-in-the-loop controlsBuild retrieval and vector-based systems over external data setsWork within an agile framework and in cross-functional teams to align AI solutions with business goalsEngage internal stakeholders for the successful delivery of AI solutionsContinuously monitor and optimize AI models to improve accuracy and efficiency, ensuring solutions are scalable, reliable and well-maintainedDocument processes, models and key learnings and contribute to building internal AI capabilitiesEnsure AI models adhere to ethical standards, privacy regulations and fairness guidelinesCollaborate with external AI companies where requiredRequirementsProficiency in Python and software engineering best practicesStrong hands?on experience with LLMs, embeddings, RAG pipelines and vector databasesExperience designing or implementing multi?agent systems or tool?calling frameworksImplementing evaluation frameworks for accuracy, coverage interpretation, decision consistency and biasExperience with distributed systems and microservicesStrong understanding of data structures and algorithmsKnowledge of API design and developmentExperience working with a multi-disciplinary teamExcellent problem?solving skills and attention to detailStrong communication and collaboration skillsNice to haveExperience developing and deploying agentic AI systems including autonomous agents and multi?agent workflowsHands?on expertise with Retrieval Augmented Generation (RAG) techniques and their integration with Large Language ModelsPractical experience fine?tuning, customizing or implementing Large Language Models (LLMs) such as GPT, Llama or similarKnowledge of ML monitoring and observabilityContributions to open?source ML projects or librariesExperience with high?performance computingKnowledge of software design patternsExperience with ML deployment platforms such as KubeFlow or MLflowKnowledge of serverless architecture patternsUnderstanding of cloud cost optimisation for ML workloadsExperience with infrastructure?as?code such as Terraform or CloudFormationWe offerPrivate health insuranceEPAM Employees Stock Purchase Plan100% paid sick leaveReferral ProgramProfessional certificationLanguage coursesWhy Join EPAMWORK 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.EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since ****, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In ****, 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.#J-*****-Ljbffr
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
Benefits & conditions
Private health insurance EPAM Employees Stock Purchase Plan 100% paid sick leave Referral Program Professional certification Language courses 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.
About the company
We help our customers navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption. As consultants, designers, architects, engineers and trainers, at EPAM we focus on building long-term partnerships with our customers, enabling them to reimagine their businesses through a digital lens. By delivering solutions through best-in-class engineering, strategy, design, consulting, education and innovation services, we help our customers become faster, more agile and more adaptive enterprises. Selected by Newsweek as a 2021 Most Loved Workplace, our global multi-disciplinary teams serve customers in more than 45 countries across five continents. We are listed among the top 15 companies in IT Services on the Fortune 1000 and ranked as the top IT services company on Fortune’s 100 Fastest-Growing Companies list for the last three consecutive years. EPAM is also listed among Ad Age’s top 25 World’s Largest Agency Companies and in 2020, Consulting Magazine named EPAM Continuum a top 20 Fastest-Growing Firm.