Ai Engineer

Key Responsibilities: -Generative AI
Develop, maintain, and optimize AI applications utilizing latest GenAI technologies - LLM, multi-modal, RAG, Function Calling, Fine-tuningAbility to analyze GenAI scientific paper to apply on real work use-case-Software design
Design and implement user interfaces to provide seamless and intuitive user experiences.Build and integrate RESTful APIs for robust and scalable application interactions.Write efficient and maintainable code in Python, JavaScript, and HTML.Experience in SQL databases usage and maintenanceWrite efficient and detail oriented automated test- Software deployment and release management
Use Docker to containerize applications for consistency across development, testing, and production environments.Utilize Git for version control and collaborative development.Install and configure software applications, ensuring proper system integration.Diagnose and troubleshoot hardware, software, and network issues.Collaborate with the software design team to implement and adhere to software design and testing workflows. Qualifications and Skills: -Bachelor's degree or equivalent in Computer Science, Data Science, or a related field
-Familiar with AI technologies like ML, DL, GenAI (text, voice, image, multi)
-Skills
Python developmentFamiliar with RestApi, swagger, SQLJavascript, HtmlDocker, KubernetesAdvance Linux commandDevOps