We are looking for a talented Lead AI Engineer to guide and collaborate with development teams in creating high-quality, AI-assisted software solutions. You will lead the delivery of production-grade Java services, architect robust frontend components in Angular, and manage scalable cloud infrastructure on AWS. 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.
Unlock the potential of remote work in Kazakhstan, giving you the flexibility to work from home or access our offices in Astana, Almaty or Karaganda.
Responsibilities
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
Requirements
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
Nice to have
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
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EPAM is a team of technologists and innovators united by a passion for technology. In Kazakhstan, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation.