Full-stack Engineer

• Build production-ready APIs and microservices that expose ML model capabilities to applications and end users.
• Design and implement scalable inference systems supporting both real-time and batch prediction workflows.
• Develop robust data pipelines for ingesting, processing, validating, and preparing data for ML systems.
• Create user-facing features powered by AI capabilities including intelligent search, recommendations, and automation.
• Implement frontend code and application integrations using Angular to produce end-to-end user experiences that consume AI and ML models at inference time in a responsive manner.
• Optimize model serving for performance, latency, throughput, and cost efficiency.
• Implement comprehensive logging, monitoring, error handling, and alerting for AI-powered features.
• Collaborate closely with AI Engineers to understand model requirements, constraints, and integration needs.
• Work with Product and Engineering teams to translate business requirements into scalable technical solutions.
• Leverage AWS services such as Lambda, ECS, API Gateway, SQS, and DynamoDB to build resilient systems.

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