AI/ML Engineers

Role overview Build and operate enterprise web applications that use large language models and other machine learning capabilities. The work spans model deployment and tuning, retrieval and agent workflows, secure integrations, and cloud operations for globally accessible products.

Responsibilities - Design, deploy, and improve machine learning models and language model features in production. - Develop retrieval-augmented generation and agent workflows for content retrieval and task automation. - Build and maintain secure, scalable APIs that connect AI services with external systems and tools. - Implement AI applications using orchestration frameworks and integrate them with cloud infrastructure. - Support deployment, scaling, monitoring, and data storage for reliable applications. - Work with teammates to refine AI-powered workflows and application performance.

Requirements - Bachelor’s or master’s degree in computer science, machine learning, artificial intelligence, or a related field. - At least one year of experience with Python and cloud-based web application development on AWS. - Experience building or fine-tuning language models for practical applications. - Familiarity with retrieval-augmented generation, AI agents, vector databases, and API development. - Knowledge of AWS services and experience with a framework for coordinating models or AI workflows. - Ability to build APIs with attention to security, scalability, and robustness.

Nice to have - Familiarity with workflow automation or voice-interface tools, and experience in site reliability engineering. - Exposure to international projects or products serving users in multiple regions.

Benefits and work setup - Remote role open across global time zones.