TELECOMMUTE Lead AI Engineer - Java

EPAM Systems, Inc.
United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Amazon Cloudfront Amazon S3 Cloud Engineering Code Review Collaborative Software IntelliJ IDEA Java Web Services Routing Scrum Methodology
+15 more
Software Systems Web Applications AWS Cdk RxJS Cloud Platform System Spring-boot AWS Lambda Gitlab AngularJS Infrastructure Automation Frameworks AWS Fargate Front End Software Development Functional Programming Api Gateway Serverless Computing

Requirements

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. #LI-DNP 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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