Multi Modal AI Senior Developer

As a Web App Developer specializing in AI technologies, your role involves designing and building web apps and solutions that harness the power of Creative AI Services, Multi Modal AI models, and Generative AI workflows. Your key responsibilities include: - Leveraging Multi modal AI capabilities to support various content types and modalities like text, imagery, audio, speech, and video - Building creative automation workflows to generate creative concepts, production deliverables, and integrated creative outputs using AI and Gen-AI models - Integrating AI Image Gen Models, AI Image Editing models, Text / Copy Gen Models, Speech / Audio Gen and Editing models, and AI enabled Video Gen and Video Editing models - Fine-tuning Multi Modal AI models for brand-specific usage and branded content generation - Constantly researching and exploring emerging trends and techniques in the field of generative AI and LLMs to stay innovative - Driving product development and delivery within tight timelines - Collaborating with developers, engineers, and quality engineers to integrate solutions into existing enterprise products - Collaborating with technology leaders and cross-functional teams to develop and validate client requirements and translate them into working solutions - Developing, implementing, and optimizing scalable AI-enabled products - Integrating Gen-AI and Multi Modal AI solutions into Cloud Platforms, Cloud Native Apps, and custom Web Apps - Executing implementation across all layers of the application stack including front-end, back-end, APIs, data, and AI services In terms of qualifications and competencies, you should have: - Deep hands-on experience in Multi modal AI models and tools - Experience in API integration with AI services - Competencies in using Multi modal AI models for intelligent document processing, imagery and visual creative, computer vision, image processing, and speech applications - Skills in MERN stack (JavaScript) and Python based development for Multi Modal AI integration - Experience in building Full-Stack MERN apps and working with LLMs and LLM models using Python - Ability to build end-to-end RAG pipelines and custom AI indexing solutions, integrating LLMs with external tools, and leveraging Conversational AI solutions - Familiarity with cloud Gen-AI platforms, services, and APIs like Azure OpenAI, AWS Bedrock, and GCP Vertex AI - Proficiency in deep learning frameworks such as PyTorch or Keras and experience with Cloud ML Platforms like Azure ML Service, AWS Sage maker, and NVidia AI Foundry Your role may also involve some nice-to-have capabilities such as building Agentic AI workflows, working with different Agent communication patterns, leveraging LLMs for Reasoning and Planning workflows, and using Graph Databases and Knowledge Graphs for semantic querying via LLM models. Additionally, a background in Machine Learning solutions, Transformer Models, Diffusion Models, and experience with custom ML model development and deployment would be desirable. As a Web App Developer specializing in AI technologies, your role involves designing and building web apps and solutions that harness the power of Creative AI Services, Multi Modal AI models, and Generative AI workflows. Your key responsibilities include: - Leveraging Multi modal AI capabilities to support various content types and modalities like text, imagery, audio, speech, and video - Building creative automation workflows to generate creative concepts, production deliverables, and integrated creative outputs using AI and Gen-AI models - Integrating AI Image Gen Models, AI Image Editing models, Text / Copy Gen Models, Speech / Audio Gen and Editing models, and AI enabled Video Gen and Video Editing models - Fine-tuning Multi Modal AI models for brand-specific usage and branded content generation - Constantly researching and exploring emerging trends and techniques in the field of generative AI and LLMs to stay innovative - Driving product development and delivery within tight timelines - Collaborating with developers, engineers, and quality engineers to integrate solutions into existing enterprise products - Collaborating with technology leaders and cross-functional teams to develop and validate client requirements and translate them into working solutions - Developing, implementing, and optimizing scalable AI-enabled products - Integrating Gen-AI and Multi Modal AI solutions into Cloud Platforms, Cloud Native Apps, and custom Web Apps - Executing implementation across all layers of the application stack including front-end, back-end, APIs, data, and AI services In terms of qualifications and competencies, you should have: - Deep hands-on experience in Multi modal AI models and tools - Experience in API integration with AI services - Competencies in using Multi modal AI models for intelligent document processing, imagery and visual creative, computer vision, image processing, and speech applications - Skills in MERN stac