Multi Modal Ai Senior Developer

Hi Greetings of the Day We have a critical opening with our client for Multi Modal AI Senior developer role for Bangalore Gurgaon Pune Chennai Mumbai location Experience 4 to 9 yrs Location Bangalore Gurgaon Pune Chennai Mumbai Hybrid Mode of Employment perm Job description We are seeking a seasoned and experienced Multi Modal AI Senior Developer with a deep expertise in leveraging Generative AI for creative and content generation at scale The ideal candidate would have a deep understanding of Multi Modal AI the ability to leverage Gen-AI models for all creative output and content types and the ability to work across all content and interaction modalities - including text visuals audio speech and video A strong foundation in Large Language models and Vision Language Models VLM is also highly desirable As a Multi Modal AI Senior Developer you will play a key role in building cutting-edge products and innovative solutions combining the full power of Creative AI workflows Generative AI LLMs and Agentic AI Your primary focus will be on building bespoke products and creative workflows leveraging Gen-AI models to help build out our creative product portfolio for some of our largest most strategic enterprise product solutions The candidate should have a good technical background in Product Development Cloud-Native App Dev Front-End and Back-End Web Application Development and the ability to build these solutions in cloud environments such as Azure and AWS integrating with the appropriate multi modal AI services The candidate will also need to have strong expertise with Cloud AI services such as Azure OpenAI AWS Bedrock and Google Gemini and all the foundation models hosted within those services Additionally hands-on experience with a variety of foundation models Vision Language Models VLMs Creative AI Services and APIs and the ability to seamlessly integrate all of these together in an automated workflow using APIs and AI Assistants will be an essential skillset Key Skills required Generative AI Multi Modal AI Creative AI solutions and workflows across all creative content types including Copy Text Imagery Key Visuals Characters Avatars Audio Speech and Video AI Creative AI Automation workflows with content creation and content editing at scale using AI services and AI APIs Experience with multiple Multi Modal AI Foundation Models LLM LLM App Dev AI Agents Agentic AI Workflows Responsibilities Design and build web apps and solutions that leverage Creative AI Services Multi Modal AI models and Generative AI workflows Leverage Multi modal AI capabilities supporting all content types and modalities including text imagery audio speech and video Build creative automation workflows that help produce creative concepts creative production deliverables and integrated creative outputs leveraging AI and Gen-AI models Integrate AI Image Gen Models and AI Image Editing models from key technology partners Integrate Text Copy Gen Models for key LLM providers Integrate Speech Audio Gen and Editing models for use cases such as transcription translation and AI generated audio narration Integrate AI enabled Video Gen and Video Editing models Fine-Tune Multi Modal AI models for brand specific usage and branded content generation Constantly Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation Drive product development and delivery within tight timelines Collaborate with full-stack developers engineers and quality engineers to develop and integrate solutions into existing enterprise products Collaborate with technology leaders and cross-functional teams to develop and validate client requirements and rapidly translate them into working solutions Develop implement and optimize scalable AI-enabled products Integrate Gen-AI and Multi Modal AI solutions into Cloud Platforms Cloud Native Apps and custom Web Apps Execute implementation across all layers of the application stack - including front-end back-end APIs data and AI services Build enterprise products and full-stack applications on the MERN Python stack with a clear separation of concerns across layers Skills and Competencies Deep Hands-on Experience in Multi modal AI models and tools Hands-on Experience in API integration with AI services Multi Modal AI - competencies Hands-on Experience with intelligent document processing and document indexing document content extraction and querying using multi modal AI Models Hands-on Experience with using Multi modal AI models and solutions for Imagery and Visual Creative - including text-to-image image-to-image image composition image variations etc Hands-on Experience with popular AI Image Composition and Editing models from providers such as Adobe Firefly Getty Images ShutterStock Flux and Flux Pro and Stable Diffusion and the ability to integrate them programmatically over API calls and workflows Hands-on Experience with Computer Vision and Image Processing using Multi-modal AI - for use cases such as object detection automated captioning automated masking and image segmentation - again all done programmatically over API calls and Workflows Hands-on Experience with using Multi modal AI for Speech - including Text to Speech Speech to Text and use of Pre-built vs Custom Voices Hands-on Experience with building Voice-enabled and Voice-activated experiences using Speech AI and Voice AI solutions Hands-on Experience with AI Character and AI Avatar development using a variety of different tools and platforms Fine-Tuning Creative AI Content models for Custom Styles Custom Characters and Custom Brand specific imagery Fine-Tuning Speech Models for Custom Voices Good understanding of advanced fine-tuning techniques such as LoRA Ability to execute and run fine-tuning workflows end-to-end in particular for Image Gen and Image Editing models Hands-on Experience with leveraging APIs to orchestrate across Multi Modal AI models Hands-on Experience with building workflows that orchestrate across Multi Modal AI models Good Experience with using AI Assistants to drive natural language interactions and orchestration with Multi Modal AI models Good Experience with use of AI Agents and Agentic AI workflows to drive dynamic orchestration across Multi Modal AI services and models Programming Skills Good Expertise in MERN stack JavaScript including client-side and server-side JavaScript Good Expertise in Python based development including Python App Dev for Multi Modal AI Integration Well-rounded in both programming languages Strong experience in client-side JavaScript Apps and building Static Web Apps Dynamic Web Apps both in JavaScript Hands-on Experience in front-end and back-end development Minimum 2 years hands-on experience in working with Full-Stack MERN apps using both client-side and server-side JavaScript Minimum 2 years hands-on experience in Python development Minimum 2 years hands-on experience in working with LLMs and LLM models using Python LLM Dev Skills Solid Hands-on Experience with building end-to-end RAG pipelines and custom AI indexing solutions to ground LLMs and enhance LLM output Good Experience with building AI and LLM enabled Workflows Hands-on Experience integrating LLMs with external tools such as Web Search Ability to leverage advanced concepts such as tool calling and function calling with LLM models Hands-on Experience with Conversational AI solutions and chat-driven experiences Experience with multiple LLMs and models - primarily GPT-4o GPT o1 and o3 mini and preferably also Gemini Claude Sonnet etc Experience and Expertise in Cloud Gen-AI platforms services and APIs primarily Azure OpenAI and perferably also AWS Bedrock and or GCP Vertex AI Hands-on Experience with Assistants and the use of Assistants in orchestrating with LLMs Hands-on Experience working with AI Agents and Agent Services Nice-to-Have capabilities Not essential Hands-on Experience with building Agentic AI workflows that enable iterative improvement of output Hands-on experience with both Single-Agent and Multi-Agent Orchestration solutions and frameworks Hands-on experience with different Agent communication and chaining patterns Ability to leverage LLMs for Reasoning and Planning workflows that enable higher order goals and automated orchestration across multiple apps and tools Ability to leverage Graph Databases and Knowledge Graphs as an alternate method replacement of Vector Databases for enabling more relevant semantic querying and outputs via LLM models Good Background with Machine Learning solutions Good foundational understanding of Transformer Models Good foundational understanding of Diffusion Models Some Experience with custom ML model development and deployment is desirable Proficiency in deep learning frameworks such as PyTorch or Keras Experience with Cloud ML Platforms such as Azure ML Service AWS Sage maker and NVidia AI Foundry About CIEL HR Payroll Company Ciel HR marks the return of HR visionaries to the HR Services industry powered by technology and analytics The Founders of Ma Foi the pioneer of the HR services sector in India along with some of the finest brains in the HR Services Industry have envisioned and built the firm CielHR to deliver the full range of Recruiting services from Executive Search Recruitment Process Outsourcing and Staffing Permanent as well as Temporary roles through its offices in India and the Middle East Website Role really excits you kindly share resume to Regards Teja sri 9392318267