Overview

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
Required 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
Benefits:
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to LinkedIn Learning and Udemy
  • Free English classes with certified teachers
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Four trust days per year for personal needs
  • Discounts for fitness clubs
  • Benefits package (hotels, restaurants, stores and services)
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
  • Java
  • Claude Code
  • Gen AI Assisted Development
  • AI Engineering
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