[Hiring] Lead AI Engineer @EPAM

Role Description

We are looking for a talented Lead AI Engineer to guide and collaborate with development teams in creating high-quality, AI-assisted software solutions. This is a hands-on leadership role that requires deep technical expertise, a drive for innovation, and the ability to leverage AI tools like Claude Code to enhance engineering workflows.

• Lead the design and delivery of production-grade Java services using frameworks like Spring Boot and containerization platforms such as AWS Fargate.
• Serve as the technical authority for frontend development using Angular, focusing on efficient component architecture, RxJS, and routing strategies.
• Architect and oversee the implementation of AWS CDK stacks, including infrastructure for Fargate tasks, ALB routing, Lambda functions, and CloudFront distributions.
• Provide strategic guidance on serverless workflows, including authoring Lambda functions and Lambda@Edge logic for authentication, CDN-layer functionality, and other edge use cases.
• Oversee CI/CD pipelines in GitLab, including automating workflows, reviewing merge requests, and ensuring best practices in deployment processes.
• Utilize AI tools like Claude Code to streamline specification, implementation, and iteration processes, integrating AI into daily development workflows.
• Ensure the development and maintenance of AI context packs to keep aligned with evolving codebases and domain-specific knowledge.
• Lead sprint planning, reviews, and team discussions to ensure alignment with project goals and delivery timelines.
• Mentor developers on technical implementation, AI tool adoption, and best practices for full-stack development.
• Advocate for quality assurance through rigorous code reviews, testing practices, and adherence to architectural standards.

Qualifications

• 5+ years of full-stack engineering experience with a strong focus on backend Java services and cloud-native architecture.
• At least 1 year of relevant leadership experience.
• Expertise in Java with senior-level production experience in Spring Boot, including deploying scalable containerized services in cloud environments like AWS.
• Proficiency in Angular development, including RxJS, routing mechanisms, and SPA deployments via S3 and CloudFront.
• Advanced knowledge of AWS services, including Fargate, Lambda, API Gateway, and infrastructure as code using AWS CDK.
• Familiarity with managing and improving CI/CD pipelines in GitLab, with experience automating workflows and promoting deployments across environments.
• Background in writing and deploying serverless solutions using Lambda and Lambda@Edge for edge logic and CDN functionality.
• Flexibility to use IntelliJ IDEA for Java and VS Code for Angular and AWS infrastructure development.
• Proven ability to mentor and guide development teams to leverage AI tools like Claude Code effectively for collaborative software delivery.
• English language proficiency at an Upper-Intermediate level (B2) or higher.

Requirements

• Understanding of domain-specific context management for optimizing AI-assisted workflows.
• Showcase of past work using AI tools like Claude Code or similar for production-ready software delivery.
• Familiarity with alternative AI tools like Kiro for development support.
• Background in designing user experience workflows for web-based applications.
• Knowledge of best practices for embedded engineering within collaborative team environments.