Description

We are seeking a highly skilled, team-oriented, and forward-thinking AI/ML Full Stack Engineer to join our product team. In this role, you will deliver robust full-stack development leveraging cloud-native microservices on GCP, while also driving AI Engineering initiatives — designing and integrating GenAI models, agentic workflows, and ML pipelines to solve complex business challenges.

You'll work closely with a team of engineers who use automated CI/CD pipelines to continuously ship clean, secure, and production-ready code. A key aspect of this role is building robust observability and telemetry into our systems — collecting both operational metrics and business metrics through logging, monitoring, tracing, and alerting — to ensure performance, reliability, and rapid issue detection across our platforms.

The ideal candidate is passionate about software craftsmanship, building scalable and high-performance applications, and staying current with cutting-edge AI capabilities.

Responsibilities
Full Stack Engineering
Design and develop responsive,



performant web applications using Angular/React, TypeScript, and up-to-date frontend frameworks
Build scalable backend services and RESTful APIs using Spring Boot, Java, and microservices architecture
Build reusable frameworks and work closely with DevOps to ensure the platform is highly available, scalable, and fault tolerant
Migrate existing legacy applications to GCP and modernize codebases to current frameworks (Spring Boot, Angular/React)
Conduct code reviews and ensure adherence to standards, design patterns, and architecture principles
AI/ML Engineering
Contribute to AI-driven initiatives, including integrating GenAI capabilities and agentic workflows within the GCP ecosystem
Design, develop, and deploy ML models using Python, TensorFlow, PyTorch, or scikit-learn
Build end-to-end ML pipelines — data preprocessing, feature engineering, model training, evaluation, and deployment on Vertex AI
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