Meachine learning Engineer

Implement retrieval-augmented generation (RAG), multi-agent, and protocol-based AI systems (e.g., MCP).

Integrate AI capabilities into production-grade applications using serverless and containerized architectures (AWS Lambda, Fargate, ECS).

Fine-tune and optimize existing models for specific educational and administrative use cases, focusing on performance, latency, and reliability.

3+ years of experience developing and deploying AI/-driven applications in production.

2+ years of hands-on experience with AWS-based architectures (serverless, microservices, CI/CD, IAM).

Proven ability to design, automate, and maintain data pipelines for model inference, evaluation, and monitoring.

Experience with both GenAI and traditional techniques in applied, production settings.