Teams at Nasstar

Supports the design, development, and deployment of applied AI systems under senior engineer guidance. Contributes to AI feature development, follows engineering standards, participates in code reviews and technical discussions, and builds expertise across modern AI and cloud technologies. The role emphasizes learning, collaboration, and progression toward more senior engineering responsibilities.

Leads complex, concurrent projects from planning through delivery, managing scope, schedules, budgets, resources, risks, quality, governance, documentation, vendors, and stakeholder expectations. Oversees project forecasting, change control, reporting, and service transition while coordinating internal departments, customers, and third parties. Requires strong project management experience in a fast-paced managed service provider environment and familiarity with Microsoft technologies and delivery governance practices.

Own AI engagement outcomes from success definition through production delivery. Design and evaluate end-to-end AI and GenAI systems, manage technical risk and trade-offs, communicate with clients, lead code reviews, resolve technical disagreements, mentor engineers, and develop reusable components and best practices. Deploy models and LLMs on AWS or Databricks with strong testing and CI/CD practices.