Senior AI Software Engineer

We are seeking a Senior AI Software Engineer to build agentic AI and machine learning solutions from proof of concept to production. You will design, develop and deploy AI products, partner with cross-functional teams and improve delivery through automation and reusable components. You bring strong software engineering fundamentals plus applied data science skills.

Responsibilities

• Lead development of machine learning, advanced analytics and AI solutions that solve business problems
• Design and deliver AI products, including agentic AI applications for real use cases
• Build and operate AI agents and supporting services from proof of concept through production
• Develop Front-end and back-end software components aligned to cloud and data architecture standards
• Improve engineering workflows through automation, reusable components and tooling
• Test solutions using functional and performance techniques to meet quality targets
• Partner with teams to define cloud-based application and agent architecture, design and implementation
• Translate business requirements into technical designs using Agile delivery methods

Requirements

• Proven experience building and deploying AI, machine learning or data science solutions in production environments
• Hands-on experience with agentic AI frameworks and patterns, including skills, harnesses and model context protocols (MCPs)
• Strong software engineering fundamentals, including web application development and API design
• Cloud platform experience (for example, Amazon Web Services (AWS), Microsoft Azure or Google Cloud Platform (GCP))
• Database knowledge, including data modeling, implementation and performance considerations
• Testing capability, including functional, integration and performance testing approaches
• Agile delivery experience, including iteration planning, delivery and continuous improvement
• Clear communication with the ability to explain technical tradeoffs to diverse stakeholders

Nice to have

• Experience with AI and workflow platforms such as Databricks, Snowflake, Dataiku, n8n, Northflank or Microsoft Power Automate
• Containerization and orchestration exposure, such as Docker and Kubernetes (K8s)
• Experience with automated build, test and deployment pipelines, such as CI/CD practices and tooling

Benefits

• By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2021 & 2022&2023.

• Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters

• You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices

• We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey

• At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us