Gen AI Developer

Job Description

Core Skills & Knowledge: Generative AI Expertise: Understanding of AI Models: Familiarity with various generative AI models like Large Language Models (LLMs), image generation models, and other relevant technologies. Prompt Engineering: Ability to craft effective prompts to guide AI models and achieve desired outcomes. AI Model Fine-Tuning: Knowledge of techniques to customize and improve AI models for specific applications. AI Deployment: Experience in deploying AI models into production environments. Software Development Proficiency: Programming Languages: Strong coding skills in languages like Python, JavaScript, Java, or similar. Software Architecture: Understanding of software architecture principles and design patterns. Databases: Knowledge of database technologies and their integration with AI models. Version Control: Proficiency in using version control systems like Git. Testing and Debugging: Ability to write unit tests, perform integration testing, and debug software issues. Agile Methodologies: Experience with agile development methodologies. Responsibilities : Developing AI-Powered Applications: Designing, developing, and deploying AI-powered applications and features. Integrating AI into Existing Systems: Seamlessly integrating AI technologies into existing software systems. Building AI Co-Pilots: Creating AI co-pilot solutions that augment human capabilities. Data Security and Privacy: Ensuring the responsible and ethical deployment of AI solutions. Collaboration: Working with cross-functional teams, including AI researchers, product managers, and other software engineers.