Fullstack AI Engineer
Role details
Job location
Tech stack
Requirements
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Proven expertise (5+ years) in full stack AI engineering, including design, development, and deployment of AI-powered applications.
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Strong proficiency in Python for AI/ML model development, orchestration, and integration.
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Advanced React skills for building dynamic, GenAI-enabled user interfaces.
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Extensive experience with Azure cloud services (e.g., Storage, Azure OpenAI, Azure DevOps, Service bus, Azure Functions, etc).
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Demonstrated knowledge in implementing Responsible AI practices (explainability, bias mitigation, governance, ethical AI).
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Hands-on experience with LLMs (e.g., GPT-based models), GenAI frameworks, or Copilot tools for AI-augmented development workflows.
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Familiarity in cloud-native development, and CI/CD automation.
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Strong background in modern application architecture, API design, and secure integration of AI services.
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Familiarity with agile methodologies, version control (Git/Azure DevOps), and collaborative project delivery in cross-functional teams.
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Knowledge in Angular, React, .Net, Azure Full stack, RESTful microservices and Pega.